Headrest, seat and vehicle
By setting up multiple error microphone arrays on the front of the vehicle seat or headrest and combining them with noise reduction processing algorithms, the problem of microphone obstruction or interference is solved, resulting in better noise reduction and passenger experience.
Patent Information
- Application Number
- CN202422820611.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Utility models(China)
- Current Assignee / Owner
- Filing Date
- 2024-11-15
- Publication Date
- 2026-02-03
- Estimated Expiration
- 2034-11-15
AI Technical Summary
In existing in-vehicle active noise cancellation systems, microphones are easily blocked or interfered with, leading to a decrease in noise reduction or even an increase in noise, which affects the passenger experience.
Multiple error microphone arrays are installed in front of the vehicle's seats or headrests to ensure a wider microphone coverage area. Combined with noise reduction processing algorithms, the microphone signal weights are dynamically adjusted to cope with obstruction and interference.
It improves the noise reduction effect inside the vehicle, reduces the noise increase caused by microphone obstruction or interference, and enhances the passenger experience.
Smart Images

Figure CN223871228U_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application relates to the field of noise reduction technology, in particular to a headrest, a seat and a vehicle. BACKGROUND
[0002] With the gradual improvement of users' requirements for the quietness in the vehicle, the vehicle active noise reduction technology is gradually applied to various types of vehicles in various gears. The principle of vehicle active noise reduction is that the noise is collected by a microphone, and at the same time, a speaker emits a sound with the same amplitude and opposite phase as the noise, and the sound pressure of the two is cancelled out, thereby achieving noise reduction.
[0003] However, in actual application, affected by various factors such as the microphone being blocked and interference noise being generated near the microphone, the vehicle active noise reduction effect is reduced, or even the noise is increased instead of being reduced, which affects the passenger experience. For the above-mentioned scenarios where the microphone is blocked or interfered, how to reasonably arrange the microphone is a problem to be solved at present. CONTENT OF THE INVENTION
[0004] The embodiments of the present application provide a headrest, a seat and a vehicle, which can improve the noise reduction effect of the vehicle.
[0005] In a first aspect, the embodiments of the present application provide a headrest, comprising: M+N error microphones, M error microphones are located in the left front area of the headrest, N error microphones are located in the right front area of the headrest, and the sound pickup holes of the M+N error microphones face the front of the headrest; N and M are positive integers greater than 2.
[0006] The left front area and the right front area of the headrest are respectively provided with a plurality of error microphones. Compared with the conventional microphone arrangement mode (one error microphone is arranged near each ear), it is not easy for a human head to block all error microphones on one side (such as the left front side or the right front side) of the headrest at the same time, and a better noise reduction effect can be obtained.
[0007] In an optional embodiment of the first aspect, the headrest comprises: a first microphone and a second microphone, the first microphone is located in the left front area of the headrest, the second microphone is located in the right front area of the headrest, and the distance between the sound pickup hole of the first microphone and the sound pickup hole of the second microphone in the horizontal direction is set to be between 15cm and 30cm.
[0008] It should be pointed out that the sound pickup hole of the microphone is usually located at the geometric center of the microphone. In some embodiments, the distance between the sound pickup hole of the first microphone and the sound pickup hole of the second microphone in the horizontal direction is set to be between 15cm and 30cm, which can also be described as: the distance between the geometric center of the first microphone and the geometric center of the second microphone in the horizontal direction is set to be between 15cm and 30cm.
[0009] By restricting the distance of the error microphones in the horizontal direction of the left and right areas of the front side of the headrest, the error microphones in the left and right areas are as close to the human ear as possible and have a certain span, avoiding being blocked by the human head (generally referring to the back of the head) when used normally.
[0010] In an optional embodiment of the first aspect, the headrest comprises: a third microphone and a fourth microphone, the third microphone and the fourth microphone are located in the left front area or the right front area of the headrest, and the third microphone and the fourth microphone are two adjacent microphones, and the distance between the sound pickup hole of the third microphone and the sound pickup hole of the fourth microphone is set to be between 5cm and 15cm.
[0011] By restricting the distance of the two adjacent error microphones in the left front area (or the right front area) of the headrest, the error microphones are as close to the human ear as possible and have a certain distance, preventing the error microphones in the left front area or the right front area from being blocked at the same time. That is, no matter how the human head moves, at least one error microphone in the left front area or the right front area is not blocked.
[0012] In an optional embodiment of the first aspect, the headrest further comprises: a loudspeaker, the loudspeaker is located on the front side of the headrest and faces the front of the headrest, and the distance between the diaphragm edge of the loudspeaker and the sound pickup hole of each error microphone is greater than or equal to 3cm.
[0013] By setting the loudspeaker facing the front of the headrest on the front side of the headrest, the loudspeaker is used to output a noise suppression signal to cancel the noise in the vehicle, which can achieve a noise reduction effect. The distance between the loudspeaker and each error microphone arranged on the front side of the headrest should be greater than a certain distance (such as 3cm), so that the problems such as too large error microphone signal amplitude caused by the instability of the loudspeaker can be avoided.
[0014] In the second aspect, the embodiments of the present application provide a seat comprising the headrest as in the first aspect.
[0015] The second aspect of the present application corresponds to the technical solution of the first aspect of the present application, and similar beneficial effects are obtained, which will not be repeated here.
[0016] In the third aspect, the embodiments of the present application provide a seat comprising: M+N error microphones, M error microphones are located in the upper part of the left front area of the seat, N error microphones are located in the upper part of the right front area of the seat, and the sound pickup holes of the M+N error microphones face the front of the seat; N and M are positive integers greater than 2.
[0017] The plurality of error microphones are arranged on the upper left front area and the upper right front area of the seat, compared with the conventional microphone arrangement mode (one error microphone is arranged on the upper left front area and the upper right front area of the seat), the head is not easy to shield all error microphones on one side (for example, the left front side or the right front side of the headrest) at the same time, and a better noise reduction effect can be obtained.
[0018] In an optional embodiment of the third aspect, the seat comprises: a fifth microphone and a sixth microphone, the fifth microphone is located on the upper left front area of the seat, and the sixth microphone is located on the upper right front area of the seat, and the distance between the sound pickup hole of the fifth microphone and the sound pickup hole of the sixth microphone in the horizontal direction is arranged to be between 15 cm and 30 cm.
[0019] In some embodiments, the distance between the sound pickup hole of the fifth microphone and the sound pickup hole of the sixth microphone in the horizontal direction is arranged to be between 15 cm and 30 cm, which can also be described as: the distance between the geometric center of the fifth microphone and the geometric center of the sixth microphone in the horizontal direction is arranged to be between 15 cm and 30 cm.
[0020] By constraining the distance between the error microphones in the left and right areas on the upper front side of the seat in the horizontal direction, the error microphones in the left and right areas are as close to the human ear as possible and have a certain span, avoiding being shielded by the head (generally referring to the back of the head) during normal use.
[0021] In an optional embodiment of the third aspect, the seat comprises: a seventh microphone and an eighth microphone, the seventh microphone and the eighth microphone are both located on the upper right front area or the upper left front area of the seat, and the seventh microphone and the eighth microphone are adjacent two microphones, and the distance between the sound pickup hole of the seventh microphone and the sound pickup hole of the eighth microphone is arranged to be between 5 cm and 15 cm.
[0022] By constraining the distance between the adjacent two error microphones on the upper left front area or the upper right front area of the seat, the error microphones are as close to the human ear as possible and have a certain distance, preventing the error microphones on the left front side area or the right front side area from being shielded at the same time. That is, no matter how the head moves, there is at least one error microphone in the left front side area or the right front side area that is not shielded.
[0023] In an optional embodiment of the third aspect, the seat further comprises: a loudspeaker, the loudspeaker is located on the upper front side of the seat and faces the front of the seat, and the distance between the diaphragm edge of the loudspeaker and the sound pickup hole of each error microphone is greater than or equal to 3 cm.
[0024] By setting the loudspeaker on the upper front side of the seat, the loudspeaker is used to output a noise suppression signal to offset the noise in the vehicle, so as to achieve the noise reduction effect. The distance between the loudspeaker and each error microphone arranged on the front side of the seat should be greater than a certain distance (such as 3 cm), so that the problems such as too large error microphone signal amplitude caused by the approach instability of the loudspeaker can be avoided.
[0025] In a fourth aspect, the embodiments of the present application provide a vehicle, comprising the seat in the second aspect or the third aspect.
[0026] The fourth aspect of the present application corresponds to the technical solutions of the second aspect or the third aspect of the present application, and similar beneficial effects are obtained, which will not be repeated here. BRIEF DESCRIPTION OF DRAWINGS
[0027] Figure 1 A schematic diagram of the principle of active noise reduction is provided for the embodiments of the present application;
[0028] Figure 2 A schematic diagram of the position of the error microphone in the vehicle interior is provided for the embodiments of the present application;
[0029] Figure 3a A schematic diagram of the position of the error microphone on the seat of the vehicle is provided for the embodiments of the present application;
[0030] Figure 3b Another schematic diagram of the position of the error microphone on the seat of the vehicle is provided for the embodiments of the present application;
[0031] Figure 4 A schematic diagram of the structure of the active noise reduction system of the vehicle is provided for the embodiments of the present application;
[0032] Figure 5 A schematic diagram of the error microphone arranged on the headrest is provided for the embodiments of the present application;
[0033] Figure 6a A schematic diagram of the position of the human ear and the error microphone is provided for the embodiments of the present application;
[0034] Figure 6b Another schematic diagram of the position of the human ear and the error microphone is provided for the embodiments of the present application;
[0035] Figure 7a A schematic diagram of the position of the error microphone in the front view of the headrest is provided for the embodiments of the present application;
[0036] Figure 7b A schematic diagram of the position of the error microphone in the left view of the headrest is provided for the embodiments of the present application;
[0037] Figure 8Yet another schematic diagram of error microphones provided on a headrest according to an embodiment of the present application;
[0038] Figure 9 Yet another schematic diagram of error microphones provided on a headrest according to an embodiment of the present application;
[0039] Figure 10 A schematic diagram of constraints between error microphones and between error microphones and loudspeakers according to an embodiment of the present application;
[0040] Figure 11 A flowchart of a noise reduction processing method according to an embodiment of the present application;
[0041] Figure 12 A schematic diagram of a noise reduction processing algorithm according to an embodiment of the present application;
[0042] Figure 13a A schematic diagram of a setting of weight values corresponding to signals collected by error microphones according to an embodiment of the present application;
[0043] Figure 13b Another schematic diagram of a setting of weight values corresponding to signals collected by error microphones according to an embodiment of the present application;
[0044] Figure 14 A flowchart of another noise reduction processing method according to an embodiment of the present application;
[0045] Figure 15 A schematic diagram of another noise reduction processing algorithm according to an embodiment of the present application;
[0046] Figure 16a A schematic diagram for estimating a virtual microphone signal near a left ear according to an embodiment of the present application;
[0047] Figure 16b Another schematic diagram for estimating a virtual microphone signal near a left ear according to an embodiment of the present application;
[0048] Figure 17 A flowchart of yet another noise reduction processing method according to an embodiment of the present application;
[0049] Figure 18 A schematic diagram of a noise reduction processing device according to an embodiment of the present application;
[0050] Figure 19 A schematic diagram of a chip according to an embodiment of the present application. DETAILED DESCRIPTION
[0051] With the rapid development of vehicle technology, people's demand for ride comfort is increasing, and the noise reduction performance of the vehicle has become an important indicator for users to choose a vehicle. The control of in-vehicle noise includes passive control and active control. Passive control mainly reduces the generation and propagation of noise through physical means such as modifying the structure inside the vehicle, adding damping materials, or using shock absorbers and vibration absorbers. Active control, also known as active noise control, cancels noise by introducing a reverse sound wave.
[0052] Taking road noise active noise reduction as an example, Figure 1 a schematic diagram of active noise reduction is shown. As Figure 1 shown, the vehicle uses the road noise signal collected by the microphone to emit a sound wave opposite to the waveform of the road noise signal through the loudspeaker, and the two are mutually canceled, thereby significantly reducing the noise inside the vehicle and achieving active noise reduction. Active noise reduction technology has the advantages of obvious control effect on medium and low frequency noise, light system, strong real-time performance, etc.
[0053] Among them, the setting of the microphone has a great influence on the noise reduction effect. Generally, the closer the microphone is to the ear, the wider the noise reduction frequency band and the greater the total noise reduction.
[0054] In some embodiments, the microphone can be arranged on the vehicle near the head, such as the roof, A / B / C / D pillars, etc. Figure 2 as shown.
[0055] In some embodiments, the microphone can be arranged on the seat near the head, such as the headrest, shoulder, etc. As Figure 3a shown, the microphone can be arranged at the headrest of the independent headrest seat, or at the position close to the shoulder of the seat; as Figure 3b shown, the microphone can be arranged at the position close to the head of the integrated seat. Since the microphone arranged on the seat is closer to the ear, and the distance between the microphone and the ear changes little after the seat moves forward and backward, up and down, and the backrest angle moves, therefore, it has better noise reduction effect.
[0056] In the embodiments of the present application, the microphone arranged on the seat or headrest near the head is referred to as an error microphone.
[0057] Based on this, the embodiments of the present application show a vehicle-mounted active noise reduction system, as Figure 4 shown, the system comprises: a noise source acquisition device arranged near a noise source, an error microphone arranged on a seat or a headrest, a noise reduction processing device, a power amplifier and a loudspeaker.
[0058] The noise source collecting device is used to collect a signal near a noise source (such as an engine position, an air conditioner air outlet, outside the vehicle, etc.), which is generally referred to as a reference signal. For example, the noise source collecting device can be a microphone of an active noise reduction earphone, or an accelerometer in a road noise active noise reduction system, or a speed sensor in an engine noise active noise reduction system, etc. For a feedforward type active noise reduction system, the reference signal is required to participate in the noise reduction operation; for a feedback type active noise reduction system, the reference signal is not required. At present, most vehicle-mounted active noise reduction systems are feedforward type active noise reduction systems.
[0059] The error microphone is used to collect a noise signal near the human ear, which is generally referred to as an error signal, and the error signal is a signal that needs to be reduced. The active noise reduction system also requires the error signal to participate in the noise reduction operation.
[0060] In some embodiments, the error microphone can also be referred to as a noise reduction microphone.
[0061] The noise reduction processing device is the core of the active noise reduction system, which is used to receive the reference signal from the noise source collecting device and the error signal from the error microphone, and to operate the signals through a preset active noise reduction algorithm to generate a control signal for noise cancellation in real time. The active noise reduction algorithm can be referred to in the following text, which is not expanded here.
[0062] In some embodiments, the noise reduction processing device can also be referred to as an active noise reduction controller.
[0063] The control signal is amplified by a power amplifier, and a control sound field is generated by a loudspeaker, which is superimposed with the original noise field, so that the target area near the human ear achieves a noise reduction effect.
[0064] The loudspeaker can be arranged at a position of a headrest or a shoulder of a seat on a vehicle body.
[0065] Based on the above active noise reduction system, Figure 5 a schematic diagram of an error microphone arranged on a headrest is shown, Figure 5 For example, an independent headrest, an error microphone is arranged at each of a left front area and a right front area of the headrest to collect noise signals near the left ear and the right ear, respectively. In some embodiments, an error microphone can also be arranged at each of an upper left front area and an upper right front area of the seat to collect noise signals near the left ear and the right ear, respectively,
[0066] However, the error microphone arranged on the seat or the headrest also has certain application limitations. Since the error microphone is fixed on the seat or the headrest and is close to the human head, the following problems are prone to occur:
[0067] 1) Error microphone is blocked. There is a high probability that the error microphone will be blocked by the human head, shoulder during movement, and clothes, headrest, etc., which will cause the noise reduction effect to decrease, or even increase noise instead of reducing noise, etc. For example, Figure 5 If the human head moves a certain distance to the left, the human head will block the error microphone on the left side of the headrest.
[0068] 2) Human ear deviates from the error microphone. The amount of noise reduction at the human ear decreases as the distance between the human ear and the error microphone increases. Due to the human being tall or short, sitting high or low, headrest adjustment high or low, etc., the human ear will deviate from the optimal noise reduction position, and the noise reduction effect will decrease. For example, Figure 6a The human ear is at the same height as the error microphones in the upper left front and right front regions of the headrest, and the human ear is in the optimal noise reduction position, Figure 6b The human ear is a certain distance above the error microphones in the upper left front and right front regions of the headrest, and the human ear has deviated from the optimal noise reduction position.
[0069] 3) Error microphone interference noise. The human head, clothes, hands, etc. have a high probability of rubbing, touching, and knocking the error microphone, thereby generating interference noise signals at the error microphone (the human does not perceive this interference noise, but the error microphone has a large interference response). If the vehicle active noise reduction system reduces this noise, it will instead generate a large interference signal similar to the sound from the loudspeaker, affecting the passenger experience.
[0070] Based on the above analysis, if only one set of error microphones is symmetrically arranged on the seat or headrest, as shown in Figure 5 If the error microphone on one side is blocked by the human head (or other objects such as clothes, headrest, etc.) or disturbed by the human's behavior (such as tapping, rubbing, etc.), the noise reduction effect will be poor, or even the noise will increase. In addition, if the passenger's head position is high or low due to height or sitting posture, the human ear will also be far from the error microphone, which will affect the noise reduction effect.
[0071] In view of this, the embodiments of the present application show a setting method of error microphones, which arranges an error microphone array on the front side of the seat or headrest of the vehicle, such as arranging at least two error microphones in the right front region of the seat or headrest, and at least two error microphones in the left front region. Compared with arranging one error microphone in the right front region and one error microphone in the left front region of the seat or headrest, since the error microphone covers a wider area, it is impossible to block all error microphones on the same side (such as the left side or the right side of the headrest) in most scenarios, and combined with the noise reduction processing algorithm after blocking the error microphone proposed in this case (see the following text for details), a better noise reduction effect can be maintained.
[0072] Compared with Figure 5The error microphone is arranged on the front side of the seat or headrest, and the error microphone covers a large area, so that a larger range of signal collection can be achieved, and the noise reduction effect can be improved.
[0073] The arrangement of the error microphone array will be described in detail below with reference to several specific embodiments.
[0074] (I) The error microphone array is arranged on the front side of the headrest
[0075] The headrest provided by the application comprises M+N error microphones, M error microphones are arranged on the left front region of the headrest, N error microphones are arranged on the right front region of the headrest, and the sound pickup holes of the M+N error microphones are directed to the front of the headrest to collect noise signals near the left and right ears, respectively. Wherein, N and M are positive integers greater than 2.
[0076] In an example of the embodiment, Figure 7a a position schematic view of the error microphone on the front view of the headrest is shown, Figure 7b a position schematic view of the error microphone on the left view of the headrest is shown. Figure 7a and Figure 7b For example, two error microphones are arranged on the left front region of the headrest, such as error microphones 1 and 3 in Figure 7a or Figure 7b two error microphones are arranged on the right front region of the headrest, such as error microphones 2 and 4 in Figure 7a or Figure 7b . That is, a total of four error microphones are arranged on the front side of the headrest, and the sound pickup holes of the four error microphones are directed to the front of the headrest. Among them, the four error microphones are fixed relative to the headrest and can move with the headrest.
[0077] In an example of the embodiment, Figure 8 another schematic view of the error microphone arranged on the headrest is shown, Figure 8 For example, two error microphones are arranged on the left front region of the headrest, such as error microphones 1 and 3 in Figure 8 , and one error microphone is arranged on the right front region of the headrest, such as error microphone 2 in Figure 8 . That is, a total of three error microphones are arranged on the front side of the headrest, and the sound pickup holes of the three error microphones are directed to the front of the headrest. Among them, the three error microphones are fixed relative to the headrest and can move with the headrest.
[0078] In an example of the embodiment, Figure 9 another schematic view of the error microphone arranged on the headrest is shown, Figure 9 For example, three error microphones are arranged on the left front region of the headrest, such as error microphones 1, 3 and 5 in Figure 9error microphones 1, 3, 5, three error microphones are arranged at the right front region of the headrest, as shown in Figure 9 error microphones 2, 4, 6. That is, a total of six error microphones are arranged at the front side of the headrest, and the sound pickup holes of the six error microphones are all directed to the front of the headrest. Among them, the six error microphones are fixed relative to the headrest and can move with the headrest.
[0079] In some embodiments, the headrest comprises: a first microphone and a second microphone, the first microphone is located at the left front region of the headrest, and the second microphone is located at the right front region of the headrest, and the distance between the sound pickup holes of the first microphone and the second microphone in the horizontal direction is set to be between 15cm and 30cm. That is, the maximum distance between the sound pickup holes of the first microphone and the second microphone in the horizontal direction can be set to 15cm, and the minimum distance between the sound pickup holes of the first microphone and the second microphone in the horizontal direction can be set to 30cm.
[0080] It should be noted that the sound pickup hole of the microphone is usually located at the geometric center of the microphone. In some embodiments, the distance between the sound pickup holes of the first microphone and the second microphone in the horizontal direction is set to be between 15cm and 30cm, which can also be described as: the distance between the geometric centers of the first microphone and the second microphone in the horizontal direction is set to be between 15cm and 30cm.
[0081] Exemplarily, Figure 10 In the error microphone 1 and the error microphone 2 are at the same height of the headrest, the distance between the sound pickup holes of the error microphone 1 and the error microphone 2 in the horizontal direction is a, which can be set to be between 15cm and 30cm, for example, 22cm. Figure 10 In the error microphone 3 and the error microphone 4 are at the same height of the headrest, the distance between the sound pickup holes of the error microphone 3 and the error microphone 4 in the horizontal direction can be set to be between 15cm and 30cm, for example, 22cm.
[0082] Similarly, Figure 8 In the error microphone 1 and the error microphone 2 are at the same height of the headrest, the distance between the sound pickup holes of the error microphone 1 and the error microphone 2 in the horizontal direction is set to be between 15cm and 30cm.
[0083] Similarly, Figure 9The error microphone 1 and the error microphone 2 are at the same height of the headrest, the error microphone 3 and the error microphone 4 are at the same height of the headrest, and the error microphone 5 and the error microphone 6 are at the same height of the headrest. The distance between the sound pickup hole of the error microphone 1 and the sound pickup hole of the error microphone 2 in the horizontal direction is a1, the distance between the sound pickup hole of the error microphone 3 and the sound pickup hole of the error microphone 4 in the horizontal direction is a2, and the distance between the sound pickup hole of the error microphone 5 and the sound pickup hole of the error microphone 6 in the horizontal direction is a3 (not shown in the figure). a1, a2 and a3 can be set between 15 to 30 cm.
[0084] Generally, the distance between human ears is about 16 cm. By restricting the distance between the error microphones in the left and right areas in front of the headrest in the horizontal direction, the error microphones in the left and right areas can be as close to the human ear as possible and have a certain span, avoiding being blocked by the head (usually the back of the head) when used normally.
[0085] In some embodiments, the headrest comprises a third microphone and a fourth microphone, the third microphone and the fourth microphone are located in the left front area or the right front area of the headrest, and the third microphone and the fourth microphone are adjacent to each other, and the distance between the sound pickup hole of the third microphone and the sound pickup hole of the fourth microphone is set to be between 5 cm and 15 cm.
[0086] For example, continuing to refer to Figure 10 , the error microphone 1 and the error microphone 3 are adjacent to each other in the left front area of the headrest, and the distance between the sound pickup hole of the error microphone 1 and the sound pickup hole of the error microphone 3 is b, which can be set to be between 5 cm and 15 cm, for example, 10 cm. Figure 10 , the error microphone 2 and the error microphone 4 are adjacent to each other in the right front area of the headrest, and the distance between the sound pickup hole of the error microphone 2 and the sound pickup hole of the error microphone 4 can be set to be between 5 cm and 15 cm, for example, 10 cm.
[0087] Similarly, Figure 8 or Figure 9 , the error microphone 1 and the error microphone 3 are adjacent to each other in the left front area of the headrest, and the distance between the sound pickup hole of the error microphone 1 and the sound pickup hole of the error microphone 3 is set to be between 5 cm and 15 cm. Figure 9 , the error microphone 3 and the error microphone 5 are adjacent to each other in the left front area of the headrest, and the distance between the sound pickup hole of the error microphone 3 and the sound pickup hole of the error microphone 5 is set to be between 5 cm and 15 cm.
[0088] Figure 9The mid error microphone 2 and the error microphone 4 are two adjacent microphones located in the right front area of the headrest, and the distance between the sound pickup hole of the error microphone 2 and the sound pickup hole of the error microphone 4 is b1. Figure 9 The mid error microphone 4 and the error microphone 6 are two adjacent microphones located in the right front area of the headrest, and the distance between the sound pickup hole of the error microphone 4 and the sound pickup hole of the error microphone 6 is b2. Both b1 and b2 can be set between 5cm and 15cm.
[0089] By restricting the distance between the sound pickup holes of the two adjacent error microphones in the left front area (or the right front area) of the headrest, the error microphone is as close to the human ear as possible, and has a certain distance, preventing the error microphone in the left front area or the right front area from being blocked at the same time. That is, no matter how the human head moves, there is at least one error microphone in the left front area or the right front area that is not blocked.
[0090] In some embodiments, the headrest further comprises a loudspeaker. The loudspeaker is located on the front side of the headrest and faces forward, and the distance between the diaphragm edge of the loudspeaker and the sound pickup hole of each error microphone arranged on the front side of the headrest is greater than or equal to 3cm.
[0091] For example, with reference to Figure 9 Or Figure 10 Two loudspeakers are symmetrically arranged on the front side of the headrest, and both of them face forward. For each loudspeaker, the distance between the diaphragm edge of the loudspeaker and the sound pickup hole of each error microphone on the front side of the headrest is greater than or equal to 3cm. For example, Figure 9 The distance between the diaphragm edge of the loudspeaker 1 and the sound pickup hole of the error microphone 1 is r1, and the distance between the diaphragm edge of the loudspeaker 1 and the sound pickup hole of the error microphone 3 is r2, both r1 and r2 are greater than or equal to 3cm. For example, Figure 10 The distance between the diaphragm edge of the loudspeaker 1 and the sound pickup hole of the error microphone 1 is r, and r is greater than or equal to 3cm.
[0092] In some examples, a loudspeaker (not shown) can also be arranged at the center of the front side of the headrest, which faces forward, and the distance between the diaphragm edge of the loudspeaker and the sound pickup hole of each error microphone on the front side of the headrest is greater than or equal to 3cm.
[0093] By arranging a loudspeaker facing forward on the front side of the headrest, the loudspeaker is used to output a noise suppression signal to cancel the noise in the vehicle, which can achieve the effect of noise reduction. The distance between the loudspeaker and each error microphone arranged on the front side of the headrest should be greater than a certain distance (such as 3cm), so that the problem of too large error microphone signal amplitude caused by the instability of the loudspeaker can be avoided.
[0094] In some embodiments, the error microphone arranged on the front side of the headrest can be introduced into the aforementioned sound pickup hole or adopt a sound-transmitting material, so as to avoid the sound pickup channel of the error microphone picking up external sound being blocked by the structure such as leather or sponge of the headrest, thereby affecting the sound pickup of the error microphone. In some embodiments, the sound pickup hole can also be described as a sound guide hole.
[0095] (ii) The error microphone array is arranged on the front side of the seat
[0096] The seat provided by the embodiments of the present application comprises the headrest according to any one of the foregoing embodiments, and the implementation principle and technical effects can refer to the foregoing headrest embodiments, which will not be described herein again.
[0097] The seat provided by the embodiments of the present application comprises M+N error microphones, M error microphones are arranged on the upper part of the left front area of the seat, N error microphones are arranged on the upper part of the right front area of the seat, and the sound pickup holes of the M+N error microphones are directed to the front of the seat. Wherein, N and M are positive integers greater than 2.
[0098] It should be noted that the upper part of the right front area of the seat can refer to the front side of the seat close to the head (or neck, or shoulder) of a person. The N error microphones arranged on the front side of the seat are relatively stationary relative to the seat and can move with the seat.
[0099] In some embodiments, the seat comprises a fifth microphone and a sixth microphone, the fifth microphone is arranged on the upper part of the left front area of the seat, the sixth microphone is arranged on the upper part of the right front area of the seat, and the distance between the sound pickup hole of the fifth microphone and the sound pickup hole of the sixth microphone in the horizontal direction is set to be between 15cm and 30cm. The implementation principle and technical effects can refer to the foregoing headrest embodiments, which will not be described herein again.
[0100] In some embodiments, the seat comprises a seventh microphone and an eighth microphone, the seventh microphone and the eighth microphone are both arranged on the upper part of the right front area or the left front area of the seat, and the seventh microphone and the eighth microphone are two adjacent microphones, and the distance between the sound pickup hole of the seventh microphone and the sound pickup hole of the eighth microphone is set to be between 5cm and 15cm. The implementation principle and technical effects can refer to the foregoing headrest embodiments, which will not be described herein again.
[0101] In some embodiments, the seat further comprises a loudspeaker, the loudspeaker is arranged on the upper part of the front side of the seat and directed to the front of the seat, and the distance between the edge of the diaphragm of the loudspeaker and the sound pickup hole of each error microphone arranged on the front side of the seat is greater than or equal to 3cm. The implementation principle and technical effects can refer to the foregoing headrest embodiments, which will not be described herein again.
[0102] Based on the foregoing seat or headrest, an embodiment of the present application provides a noise reduction processing method, which dynamically adjusts the active noise reduction strategy by sensing the sound field and the change of the required control sound field, so as to achieve better active noise reduction effect. The main idea is as follows: by analyzing the signals collected by a plurality of error microphones, the weight values corresponding to the signals of each error microphone in the noise reduction processing algorithm are dynamically adjusted, such as adjusting the weight values corresponding to the signals of each error microphone according to the distance between the error microphone and the human ear, or setting the weight values corresponding to the signals of the disturbed error microphone to 0 (i.e. the signal does not participate in the operation processing of the noise reduction processing algorithm), and processing the signals participating in the operation by the preset active noise reduction algorithm to generate a control signal for noise cancellation in real time, thereby achieving the purpose of improving the noise reduction effect.
[0103] The error microphone is disturbed, including being disturbed by wind noise, being blocked by a human head, being disturbed by voice, being disturbed by rubbing sound, being disturbed by patting sound, etc. For example, the error microphone is blocked by a human head, such as the distance between the back of the head and the error microphone being less than a certain distance threshold. If the error microphone is affected by window opening or air conditioner blowing, the error microphone is disturbed by wind noise. If the signal collected by the error microphone contains a voice signal, the error microphone is disturbed by voice. If there is clothing rubbing near the error microphone, the error microphone is disturbed by rubbing sound. If the error microphone is patted or tapped, the error microphone is disturbed by patting sound.
[0104] The noise reduction processing method will be described in detail below in combination with several specific embodiments.
[0105] Figure 11 A flowchart of a noise reduction processing method is shown, which can be applied to any noise reduction processing device, and the noise reduction processing device can be integrated into a vehicle controller, which is not limited in this embodiment. In order to facilitate understanding, the following scheme description takes the noise reduction processing device as the execution subject. As shown in Figure 11 The noise reduction processing method comprises:
[0106] S101. Receive at least one reference signal and signals collected from N+M error microphones.
[0107] Wherein, N and M are both positive integers greater than 2. The N+M error microphones can be error microphones arranged on the front side of a certain headrest or a certain seat of the vehicle, and the arrangement mode of the N+M error microphones can refer to the foregoing.
[0108] After the vehicle starts or during the vehicle driving, the noise source collection device on the vehicle collects the reference signal, and the N+M error microphones collect the signals near the human ear. At the same time, the noise reduction processing device receives at least one reference signal from the noise source collection device and signals collected from the N+M error microphones.
[0109] The number of noise source acquisition devices is at least one, and correspondingly, the number of reference signals is at least one. This embodiment does not limit the number of noise source acquisition devices. For example, a noise source acquisition device can be placed near the engine to acquire signals from the vicinity of the engine. A noise source acquisition device can also be placed near the air conditioning vent to acquire signals from the vicinity of the air conditioning vent.
[0110] S102. Based on the signals acquired by at least P error microphones out of N+M error microphones, and at least one reference signal, generate a first noise suppression signal.
[0111] S103. Output the first noise suppression signal.
[0112] Among them, the signals from at least P error microphones are used for noise reduction processing, where P is a positive integer greater than 1 and less than or equal to N+M.
[0113] In some embodiments, P equals M+N, and the noise reduction processing device generates a first noise suppression signal based on the signals collected by N+M error microphones and at least one reference signal. That is, the signals collected by N+M error microphones all participate in the operation and processing of the noise reduction processing algorithm.
[0114] In some embodiments, P is less than M+N and greater than 1. The noise reduction processing device generates a first noise suppression signal based on the signals collected by P error microphones and at least one reference signal. That is, signals collected by some of the N+M error microphones participate in the operation and processing of the noise reduction processing algorithm.
[0115] The following is in conjunction with the appendix Figure 12 The principle of the noise reduction processing algorithm in this embodiment will be explained in detail.
[0116] Reference Figure 12 At a certain moment n, the noise reduction processing device receives the original reference signal collected by the noise source acquisition device. The original reference signal After processing by the filtering module, the filtered reference signal is obtained. Simultaneously, the noise reduction processing device receives signals from N+M error microphones. The noise reduction processing device updates the filter parameters using Formula 1. .
[0117] Formula 1
[0118] In the formula, This represents the filter parameters at time n+1. Represents the filter parameters at time n. This represents the set of error microphones that have not been interfered with. represents the weight value corresponding to the signal (error signal) collected by the mth error microphone in the set. represents the signal collected by the mth error microphone at time n, m takes 1 to P. is an update factor, takes (0, 1], the larger the value, the greater the filter parameter update.
[0119] The setting of will be described below through several examples.
[0120] In some examples, the signals collected by the N+M error microphones all participate in the operation of the noise reduction processing algorithm, that is, P is equal to N+M, m can take 1 to N+M, and can be set to 1.
[0121] In some examples, The value of can be determined according to the distance value of the mth error microphone from the human ear, the smaller the distance value, the closer the mth error microphone to the human ear, the larger the value of , on the contrary, the larger the distance value, the farther the mth error microphone from the human ear,
[0122] the smaller the value of . That is, the closer the error microphone to the human ear, the higher the reference of the signal collected by the error microphone, and by increasing the weight, the accuracy of the algorithm operation is improved, and the noise reduction effect is improved.
[0123] With reference to Figure 12 , after the noise reduction processing device determines the latest parameters of the filter (such as ) based on the aforementioned formula one, the filter parameters are controlled to be updated, and then the control signal y(n) at time n is obtained from the output end of the filter, the control signal y(n) is amplified by the power amplifier to obtain the first noise suppression signal, and then the first noise suppression signal is output through the loudspeaker to achieve noise reduction.
[0124] The following will describe how to determine P error microphones from N+M error microphones through several specific embodiments.
[0125] In a possible implementation, the noise reduction processing apparatus determines P error microphones that are not interfered from the N+M error microphones based on signals collected by the N+M error microphones. The P error microphones that are not interfered include error microphones that are not interfered by wind noise, error microphones that are not interfered by human head blocking, error microphones that are not interfered by voice, error microphones that are not interfered by rubbing sound, error microphones that are not interfered by slapping sound, and the like.
[0126] Whether an error microphone is interfered can be determined by the following examples: the noise reduction processing apparatus excludes a target microphone that meets a first condition from the N+M error microphones to determine the P error microphones. The first condition includes at least one of the following:
[0127] 1) a corresponding decibel value of signal collected by the target microphone in a first frequency band is greater than a first threshold.
[0128] For example, the first frequency band can be a frequency band of 500-20000 Hz. If the corresponding decibel value of signal collected by the target microphone in the first frequency band is greater than the first threshold, it indicates that there is attenuation in the medium-high frequency of the signal collected by the target microphone, and it can be considered that the target microphone is blocked, such as being blocked by a human head, and the target microphone can be excluded.
[0129] 2) an energy value of signal collected by the target microphone in a full frequency band or a second frequency band is greater than a second threshold.
[0130] For example, the second frequency band can be a frequency band of 1000-8000 Hz. If the energy value of signal collected by the target microphone in the full frequency band or the second frequency band is greater than the second threshold, it indicates that there is rubbing sound signal in the signal collected by the target microphone, and it can be considered that the target microphone is interfered by rubbing sound, such as clothes rubbing, and the target microphone can be excluded.
[0131] 3) a correlation degree of signal collected by the target microphone and signal collected by another error microphone is less than a third threshold.
[0132] The correlation degree of signal refers to the similarity between two signals. If the correlation degree of signal collected by the target microphone and signal collected by another error microphone on a headrest or a seat is less than the third threshold, it indicates that the target microphone is interfered, and the target microphone can be excluded.
[0133] For example, refer to Figure 7a or Figure 7bIf the correlation between the signal collected by the error microphone 1 and the signal collected by the error microphone 2 is less than the third threshold, the correlation between the signal collected by the error microphone 1 and the signal collected by the error microphone 3 is less than the third threshold, and the correlation between the signal collected by the error microphone 1 and the signal collected by the error microphone 4 is less than the third threshold, it indicates that the error microphone 1 is interfered, and the error microphone 1 can be excluded, and the signal collected by the error microphone 1 does not participate in the operation of the noise reduction processing algorithm.
[0134] The above examples can exclude the error microphone interfered by performing frequency domain analysis on the signals collected by the N+M error microphones, and / or calculating the correlation between the signals collected by each two error microphones of the N+M error microphones, in combination with the first condition, to determine the error microphones not interfered in the N+M error microphones. In this way, the signal collected by the error microphone interfered can be avoided to participate in the subsequent noise reduction processing operation, so as to improve the accuracy of the noise reduction processing operation, and further improve the noise reduction effect.
[0135] In a possible implementation, the noise reduction processing apparatus determines the P error microphones not interfered from the N+M error microphones based on the signals collected by the sensors.
[0136] Optionally, the sensors include at least one of an image sensor, an infrared sensor, and an ultrasonic sensor. The image sensor is a core component of a camera, and the camera is generally arranged in front of the headrest / seat and used to collect images containing the head, the headrest, and the seat. The infrared sensor is generally arranged on the front side of the headrest / seat and used to collect the relative position relationship between the back of the head and the front side of the headrest / seat. The infrared sensor and the ultrasonic sensor can also be arranged in front of the headrest / seat and used to collect the relative position relationship between the head and the headrest / seat.
[0137] In an example of the embodiment, the noise reduction processing apparatus determines the first relative position relationship between the head and the headrest or the seat based on the signals collected by the sensors, and excludes the target microphone blocked by the head from the N+M error microphones based on the first relative position relationship and the position information of the N+M error microphones on the headrest or the seat to determine the P error microphones.
[0138] For example, the sensor is the image sensor, and the error microphones are arranged on the front side of the headrest. The first relative position relationship includes the position information of the headrest region blocked by the head and the position information of the headrest region not blocked by the head. If the position information of the target microphone on the headrest overlaps the position information of the headrest region blocked by the head, it indicates that the target microphone is blocked by the head, and the target microphone can be excluded.
[0139] Exemplarily, the sensor is an infrared sensor, and the infrared sensor and the error microphone are both arranged on the front side of the headrest. Based on the signal collected by the infrared sensor, the first relative position relationship between the back of the head and the front side of the headrest can be obtained, and the first relative position relationship includes the distance value of the back of the head and the front side of the headrest in the first direction and the position information of the back of the head in the headrest region. The first direction is perpendicular to the plane of the front side of the headrest. If the position information of the target microphone on the headrest overlaps with the position information of the back of the head in the headrest region (the back of the head blocks the target microphone on the headrest), and the distance value of the back of the head and the target microphone in the first direction is less than a certain distance threshold, it indicates that the target microphone is blocked by the head, and the target microphone can be removed.
[0140] In addition, based on the signal collected by the ultrasonic sensor, the first relative position relationship between the back of the head and the front side of the headrest can be obtained, and the principle of the scheme can be referred to the previous example, which will not be expanded here.
[0141] The above examples can determine the relative position relationship between the head and the N+M error microphones arranged on the front side of the headrest or the seat by analyzing the signals collected by the sensors, and remove the error microphones blocked by the head based on the relative position relationship. In this way, the signals collected by the error microphones disturbed can be avoided to participate in the subsequent noise reduction processing operation, so as to improve the accuracy of the noise reduction processing operation and improve the noise reduction effect.
[0142] In another example of the embodiment, the noise reduction processing device determines the second relative position relationship between the ear and the headrest or the seat based on the signals collected by the sensors; based on the second relative position relationship and the position information of the N+M error microphones on the headrest or the seat, the target microphone with a distance value greater than or equal to a preset distance value from the ear is removed from the N+M error microphones to determine P error microphones. Exemplarily, the preset distance value can be set to 20 cm.
[0143] In the above example, the target microphone far from the ear is removed, even if the target microphone is not disturbed. In this way, the number of signals participating in the subsequent noise reduction processing operation can be reduced, and the operation efficiency can be improved.
[0144] Exemplarily, taking the case that the sensor is an image sensor and the error microphone is arranged on the front side of the headrest as an example, the second relative position relationship includes position information of the human ear projected to the headrest area. Based on the position information of the human ear projected to the headrest area and the position information of the target microphone on the headrest, the distance value of the human ear from each error microphone can be determined. If the distance value of the human ear from the target microphone is greater than or equal to a preset distance value, it indicates that the target microphone is far away from the human ear, and the target microphone can be removed. The signal collected by the target microphone does not participate in the operation of the subsequent noise reduction processing algorithm, and correspondingly, the weight value corresponding to the signal collected by the target microphone can be set to 0. In addition, based on the signal collected by the infrared sensor or the ultrasonic sensor, the position information of the human ear projected to the headrest area can be obtained, and the principle of the scheme can be referred to for this example, which will not be expanded here.
[0145] Exemplarily, taking N=4 as an example, referring to Figure 13a , the error microphone arranged on the front side of the headrest or the seat includes: a first microphone, a second microphone, a third microphone and a fourth microphone, which correspond to error microphones 1, 2, 3 and 4 in Figure 13a respectively. If the first distance value of the first microphone from the left ear is less than a preset distance value, the second distance value of the second microphone from the right ear is less than a preset distance value, the third distance value of the third microphone from the left ear is greater than or equal to a preset distance value, and the fourth distance value of the fourth microphone from the right ear is greater than or equal to a preset distance value, the third microphone and the fourth microphone are removed. As shown in Figure 13a , since the distance value x3 of the error microphone 3 from the left ear is greater than the preset distance value, and the distance value x4 of the error microphone 4 from the right ear is greater than the preset distance value, the error microphone 3 and the error microphone 4 can be removed. That is, the signals collected by the error microphone 3 and the error microphone 4 do not participate in the operation of the subsequent noise reduction processing algorithm. Correspondingly, referring to Formula One, the weight values corresponding to the signals collected by the error microphone 1 and the error microphone 2 can be set to 1, and the weight values corresponding to the signals collected by the error microphone 3 and the error microphone 4 can be set to 0.
[0146] The above examples can determine the relative position relationship between the human ear and the N+M error microphones arranged on the front side of the headrest or the seat by analyzing the signals collected by the sensors. Based on the relative position relationship, error microphones far away from the human ear can be removed, and signals collected by error microphones close to the human ear are used for noise reduction operation, achieving adaptive single-region noise reduction and improving noise reduction effect.
[0147] In some embodiments, the noise reduction processing device determines a second relative position relationship between the human ear and the headrest or seat based on the signal collected by the sensor; determines the weight value corresponding to the signal collected by the at least P error microphones based on the second relative position relationship and the position information of the at least P error microphones on the headrest or seat; and generates the first noise suppression signal based on the weight value corresponding to the signal collected by the at least P error microphones, the signal collected by the at least P error microphones, and the at least one reference signal.
[0148] In this embodiment, after determining the distance value of the human ear from each error microphone, the noise reduction processing device can set the weight value corresponding to the signal collected by each error microphone according to the distance value of the human ear from each error microphone. The weight value corresponding to the signal collected by each error microphone can be set based on the principle that the greater the distance value, the smaller the weight value. For example, referring to FIG. 2, the distance value of the left ear from error microphone 1 is smaller than the distance value of the right ear from error microphone 2. Therefore, the weight value corresponding to the signal collected by error microphone 1 can be set to be greater than the weight value corresponding to the signal collected by error microphone 2. Figure 13b Since the left ear is closer to error microphone 1 and the right ear is closer to error microphone 2, the weight value corresponding to the signal collected by error microphone 1 and error microphone 2 can be increased, and correspondingly, the weight value corresponding to the signal collected by error microphone 3 and error microphone 4 can be decreased. For example, the weight value corresponding to the signal collected by error microphone 1 and error microphone 2 is set to 2, and the weight value corresponding to the signal collected by error microphone 3 and error microphone 3 is set to 0.5.
[0149] Compared with the noise reduction scheme in which the weight value corresponding to the signal collected by each error microphone is set to 1, although both are full-area noise reduction schemes (i.e., all signals collected by error microphones are involved in the operation), the noise reduction effect can be further improved because the weight value corresponding to the signal collected by each error microphone is fine-tuned.
[0150] In a possible implementation, the noise reduction processing device determines P error microphones that are not interfered from N+M error microphones based on the signals collected by the N+M error microphones and the signal of the sensor parameter. The implementation principle and effect can be referred to the foregoing two embodiments, which will not be described here.
[0151] The noise reduction processing algorithm shown in the foregoing embodiments involves data for operation of the noise reduction processing algorithm, including at least one filtered reference signal and all or part of the signals collected by error microphones, as shown in Figure 12 .
[0152] Considering that the error microphones involved in the noise reduction processing have a certain distance from the human ear, the signal collected by the error microphone is not the signal collected at the human ear. If the virtual microphone technology is used, i.e., the signal collected by the error microphone (which can also be referred to as a real microphone) is used to estimate the signal at the human ear (which can also be referred to as a virtual microphone signal), and the estimated signal at the human ear is used for noise reduction operation, the noise reduction effect can be further improved.
[0153] Figure 14 A flowchart of another noise reduction method is shown, which can be applied to any noise reduction device. Figure 14 As shown, the noise reduction processing method includes:
[0154] S201. Receive at least one reference signal and signals acquired from N+M error microphones.
[0155] S202. Based on the signals collected by at least P error microphones out of N+M error microphones, generate the signal of a virtual microphone near the human ear.
[0156] The noise reduction processing device first identifies at least P uninterrupted error microphones from N+M error microphones; then, based on the signals collected by the at least P error microphones, it generates signals from virtual microphones near the human ear. These virtual microphone signals near the human ear include signals from virtual microphones near the left ear and virtual microphones near the right ear.
[0157] S203. Generate a first noise suppression signal based on the signal from a virtual microphone near the ear and at least one reference signal.
[0158] S204. Output the first noise suppression signal.
[0159] The following is in conjunction with the appendix Figure 15 The principle of the noise reduction processing algorithm in this embodiment will be explained in detail.
[0160] Reference Figure 15 At a certain moment n, the noise reduction processing device receives the original reference signal collected by the noise source acquisition device. The original reference signal After processing by the filtering module, the filtered reference signal is obtained. Simultaneously, the noise reduction processing device receives signals from N+M error microphones and, based on signals from at least P of these error microphones, estimates the signals from the virtual microphones near the left and right ears. The noise reduction processing device then updates the filter parameters using Equation 2. .
[0161] Formula 2
[0162] In the formula, This represents the filter parameters at time n+1. Represents the filter parameters at time n. This is the update factor. This indicates the signal from the virtual microphone near the left ear. a weight value corresponding to a signal of a virtual microphone near the left ear, a signal of a virtual microphone near the right ear, a weight value corresponding to a signal of a virtual microphone near the right ear.
[0163] In some embodiments, the and are both set to 1.
[0164] In some embodiments, the noise reduction processing device has pre-stored models related to signal estimation, and the number of models can be multiple. According to the estimated position of the virtual microphone, the models can be divided into two categories: one is a first model for estimating the signal of a virtual microphone near the left ear, and the other is a second model for estimating the signal of a virtual microphone near the right ear.
[0165] Exemplary, Figure 16a and Figure 16b shows the principle for estimating the signal of a virtual microphone near the left ear, the signals collected by the four real microphones (i.e., error microphones) on the headrest are input into the first model, and after being processed by the first model, the signal of the virtual microphone 5 near the left ear is obtained. The signal of the virtual microphone near the left ear can be determined by Formula Three. :
[0166] Formula Three
[0167] wherein, denotes a set of error microphones that are not disturbed, denotes a signal collected by the mth error microphone at time n, denotes a parameter of a transfer path filter of the mth error microphone to the virtual microphone near the left ear in the first model at time n. Figure 16a or Figure 16b of which four error microphones participate in signal estimation, m takes 1 to 4, denotes a parameter of a transfer path filter of error microphone 1 to virtual microphone 5 in the first model at time n, denotes a parameter of a transfer path filter of error microphone 2 to virtual microphone 5 in the first model at time n, denotes a parameter of a transfer path filter of error microphone 3 to virtual microphone 5 in the first model at time n, denotes a parameter of a transfer path filter of error microphone 4 to virtual microphone 5 in the first model at time n.
[0168] Similarly, the signals collected by the four real microphones on the headrest are input into the second model, and after being processed by the second model, the signal of the virtual microphone near the right ear is obtained. The signal of the virtual microphone near the right ear can be determined by Formula Four. :
[0169] Formula Four
[0170] In the formula, denotes a set of error microphones not interfered, denotes a signal collected by the mth error microphone at the nth moment, denotes a parameter of a transfer path filter from the mth error microphone to the right ear virtual microphone in the second model at the nth moment.
[0171] Continuing to refer to Figure 15 , after the noise reduction processing device determines the latest parameter of the filter (such as ) based on the aforementioned Formula Two, Formula Three and Formula Four, the noise reduction processing device controls the update of the filter parameter, and then obtains the control signal y(n) at the nth moment from the output end of the filter. After the control signal y(n) is amplified by a power amplifier, a first noise suppression signal is obtained, and then the first noise suppression signal is output through a loudspeaker, thereby achieving noise reduction.
[0172] Further, according to the number and position of the error microphones participating in signal estimation, the first model can include multiple models, such as Model 1, Model 2, etc. For example, the input of Model 1 includes signals collected by real microphones 1 to 3 in Figure 16a or Figure 16b Model 1 estimates the signal of a virtual microphone 5 near the left ear based on the signals collected by real microphones 1 to 3. The input of Model 2 includes signals collected by real microphones 1, 2, and 4 in Figure 16a or Figure 16b Model 2 estimates the signal of a virtual microphone 5 near the left ear based on the signals collected by real microphones 1, 2, and 4.
[0173] Similarly, according to the number and position of the error microphones participating in signal estimation, the second model can include multiple models, such as Model 3, Model 4, etc. For example, the input of Model 3 includes signals collected by real microphones 1 to 3 in Figure 16a or Figure 16b Model 3 estimates the signal of a virtual microphone (not shown) near the right ear based on the signals collected by real microphones 1 to 3. The input of Model 4 includes signals collected by real microphones 2, 3, and 4 in Figure 16a or Figure 16b Model 4 estimates the signal of a virtual microphone near the right ear based on the signals collected by real microphones 2, 3, and 4.
[0174] It should be noted that each model pre-stored in the noise reduction processing device is trained based on a large amount of training data, and the data used by the model in actual application can also be used for updating the model. In addition, the structure of the model is not limited in the embodiment.
[0175] Based on the foregoing description, in some embodiments, after the noise reduction processing apparatus determines at least P error microphones that are not disturbed from the N+M error microphones, it needs to select two models corresponding to the at least P error microphones from a plurality of preset models according to the positions of the at least P error microphones on the headrest or seat, denoted as a first model and a second model. The first model is used to estimate the signal of the virtual microphone near the left ear, and the second model is used to estimate the signal of the virtual microphone near the right ear. Based on this, the noise reduction processing apparatus can perform the following steps:
[0176] inputting the signals collected by the at least P error microphones into the pre-trained first model corresponding to the at least P error microphones, and obtaining the signal of the virtual microphone near the left ear after the first model processing; and,
[0177] inputting the signals collected by the at least P error microphones into the pre-trained second model corresponding to the at least P error microphones, and obtaining the signal of the virtual microphone near the right ear after the second model processing.
[0178] The noise reduction processing scheme shown in the above embodiments uses the signals collected by all or part of the error microphones on the seat or headrest to estimate the signal of the virtual microphone near the human ear, and updates the filter parameters based on the signal of the virtual microphone near the human ear and at least one reference signal, and generates the first noise suppression signal based on the updated filter parameters.
[0179] Compared with scheme 1 in which the left error microphone on the headrest or seat only estimates the left virtual microphone signal and the right error microphone only estimates the right virtual microphone signal, and scheme 2 in which one error microphone on the left and right sides of the headrest or seat estimates the left / right virtual microphone, since more error microphones participate in signal estimation in the present case (such as 2 error microphones on the left and right sides), the accuracy of signal estimation is higher and the robustness is better.
[0180] Table 1 shows the left and right ear noise reduction amounts corresponding to different schemes.
[0181]
[0182] The embodiments of the present application also propose a noise reduction processing method, which can not update the filter parameters when wind noise interference or speech interference is detected, and maintain the noise suppression signal at the previous time to avoid the influence of wind noise or speech and cause the noise reduction effect to decrease.
[0183] Figure 17 A flowchart of another noise reduction processing method provided by the embodiments of the present application is shown, as shown in Figure 17 The noise reduction processing method can be applied to any noise reduction processing apparatus, and the method comprises:
[0184] S301. At a first time, receive at least one reference signal and signals collected from N+M error microphones.
[0185] S302. Based on signals collected from at least P error microphones of the N+M error microphones and the at least one reference signal, generate a first noise suppression signal.
[0186] S303. Output the first noise suppression signal.
[0187] S304. At a second time, if a second condition is satisfied, keep outputting the first noise suppression signal.
[0188] The second time is later than the first time, such as the second time is a next time of the first time.
[0189] The second condition includes at least one of the following: detecting that at least one error microphone is blown by wind, or detecting that at least one error microphone has a voice signal.
[0190] In some embodiments, the noise reduction processing apparatus, based on the signals collected from the N+M error microphones, detecting that at least one error microphone is blown by wind, can not update the filter parameters at the current time, and keep outputting the noise suppression signal at the previous time through the loudspeaker. In this way, the noise reduction effect can be avoided due to the influence of windowing or air conditioning blowing.
[0191] For example, if the energy value of the signal collected by the target error microphone in the third frequency band is greater than the fourth threshold value, it indicates that the target microphone is blown by wind, and it can be considered that the target microphone is interfered by wind noise. The third frequency band can be a frequency band of 50 to 500 Hz.
[0192] Generally, the correlation of the signals collected by the two error microphones blown by wind is less than threshold 1 (poor correlation), the correlation of the signals collected by the error microphone blown by wind and the error microphone not blown by wind is less than threshold 2, and the correlation of the signals collected by the two error microphones not blown by wind is greater than threshold 3. Therefore, in some embodiments, whether at least one error microphone is blown by wind can also be determined by analyzing the correlation between the signals collected by the N+M error microphones.
[0193] In some embodiments, the noise reduction processing apparatus, based on the signals collected from the N+M error microphones, detecting that at least one error microphone has a voice signal, can not update the filter parameters at the current time, and keep outputting the noise suppression signal at the previous time through the loudspeaker. In this way, the noise reduction effect can be avoided due to the influence of speech interference.
[0194] For example, by extracting the speech signal and the noise signal in the signal collected by the target microphone, if the energy value of the speech signal is greater than a certain threshold, or the energy value of the speech signal is greater than the energy value of the noise signal by a certain threshold, or the ratio of the energy value of the speech signal to the energy value of the noise signal is greater than a certain threshold (exceeding the threshold will affect the noise reduction performance), it indicates that the signal of the target microphone has a human voice signal.
[0195] The embodiment of the present application provides a noise reduction processing device, comprising: a processor and a memory; the memory stores computer execution instructions; and the processor executes the computer execution instructions stored in the memory, so that the noise reduction processing device executes the steps of any one of the method embodiments, and the implementation principle and technical effects can be referred to the related embodiments, which will not be repeated here.
[0196] Figure 18 A structural diagram of a noise reduction processing device is shown. As shown in Figure 18 The noise reduction processing device comprises a processor 1801, a communication line 1804, and at least one communication interface (for example, a communication interface 1803). Figure 18 The communication interface 1803 is exemplarily described by taking the communication interface 1803 as an example.
[0197] The processor 1801 can be a general central processing unit (CPU), a microprocessor, an application-specific integrated circuit (ASIC), or one or more integrated circuits for controlling program execution of the scheme of the present application.
[0198] The communication line 1804 can include a circuit for transmitting information between the above-mentioned components.
[0199] The communication interface 1803 uses any transceiver device to communicate with other devices or communication networks, such as Ethernet, wireless local area networks (WLAN), etc.
[0200] In some embodiments, the noise reduction processing device can further comprise a memory 1802.
[0201] The memory 1802 can be a read-only memory (ROM) or other type of static storage device that can store static information and instructions, a random access memory (RAM) or other type of dynamic storage device that can store information and instructions, an electrically erasable programmable read-only memory (EEPROM), a compact disc read-only memory (CD-ROM) or other optical disk storage, a magnetic disk storage or other magnetic storage devices, or any other medium capable of storing desired program code in the form of instructions or data structures and that can be accessed by a computer, but is not limited to this. The memory can exist independently and be connected to the processor through the communication line 1804. The memory can also be integrated with the processor.
[0202] The memory 1802 is configured to store computer-executed instructions for implementing the scheme of the present application, and the processor 1801 is configured to control the execution of the computer-executed instructions stored in the memory 1802. The processor 1801 is configured to execute the computer-executed instructions stored in the memory 1802, so as to implement the noise reduction processing method provided by the embodiments of the present application.
[0203] The computer-executed instructions in the embodiments of the present application can also be referred to as application program codes, and the embodiments of the present application do not make specific limitations on this.
[0204] As an example, the processor 1801 can include one or more CPUs.
[0205] As an example, the noise reduction processing apparatus can include a plurality of processors. Each processor can be a single-CPU processor or a multi-CPU processor. The processor herein can refer to one or more devices, circuits, and / or processing cores for processing data (e.g., computer program instructions).
[0206] Based on the foregoing several embodiments, the embodiments of the present application also provide a vehicle, which includes the seat of any of the foregoing embodiments and the noise reduction processing apparatus of any of the foregoing embodiments, and the noise reduction processing apparatus is configured to execute the steps of any of the foregoing method embodiments. The implementation principles and technical effects can be referred to the related embodiments, and will not be described here.
[0207] The embodiment of the present application provides a computer readable storage medium, the computer readable storage medium stores a computer program, and the computer program is executed by a processor to realize the steps of any one of the foregoing method embodiments, and the implementation principle and technical effects can be referred to the related embodiments, and details are not described herein.
[0208] The method described in the foregoing embodiments can be implemented by software, hardware, firmware or any combination thereof, in whole or in part. If implemented by software, the function can be stored as one or more instructions or codes on a computer readable medium or transmitted on a computer readable medium. The computer readable medium can include a computer storage medium and a communication medium, and can also include any medium that can carry a computer program from one place to another. The storage medium can be any target medium that can be accessed by a computer.
[0209] In a possible implementation, the computer readable medium can include RAM, ROM, compact disc read-only memory (CD-ROM) or other optical disk storage, magnetic disk storage or other magnetic storage devices, or any other medium that is targeted to carry the required program code in the form of instructions or data structures and can be accessed by a computer. Moreover, any connection is appropriately referred to as a computer readable medium. For example, if software is transmitted from a website, server or other remote source using a coaxial cable, optical fiber cable, twisted pair, digital subscriber line (DSL) or wireless technology (such as infrared, radio and microwave), the coaxial cable, optical fiber cable, twisted pair, DSL or wireless technology (such as infrared, radio and microwave) is included in the definition of the medium. As used herein, magnetic disks and optical disks include compact disks, laser disks, optical disks, digital versatile disks (DVD), floppy disks and Blu-ray disks, in which magnetic disks usually reproduce data magnetically, and optical disks reproduce data optically with laser. The combination of the above should also be included in the scope of the computer readable medium.
[0210] The embodiment of the present application provides a chip system or a chip, which comprises at least one processor and a communication interface, the communication interface and the at least one processor are interconnected through a line, and the at least one processor is used to run a computer program or an instruction to execute the steps of any one of the foregoing method embodiments, and the implementation principle and technical effects can be referred to the related embodiments, and details are not described herein.
[0211] Figure 19 A structural schematic diagram of a chip is shown. As shown in the figure, Figure 19 The chip 1900 includes one or more than two (including two) processors 1920 and a communication interface 1930.
[0212] In some embodiments, the memory 1940 stores instructions, data, and / or code that, when executed by the processor 1920, cause the processor 1920 to perform a method described herein. In some embodiments, the memory 1940 stores an operating system, a database, and / or a data store.
[0213] In some embodiments, the memory 1940 includes read-only memory (ROM) and random access memory (RAM). The memory 1940 can also include a non-volatile random access memory (NVRAM).
[0214] In some embodiments, the memory 1940, the communication interface 1930, and the memory 1940 are coupled by a bus system 1910. The bus system 1910 can include a data bus, a power bus, a control bus, and a state signal bus, among others. For ease of description, all buses are referred to as the bus system 1910. Figure 19
[0215] The methods described in the above embodiments can be applied to or implemented by the processor 1920. The processor 1920 can be an integrated circuit chip that has a processing capability. In the implementation process, the steps of the above methods can be completed by integrated logic circuits or instructions in the form of software in the processor 1920. The processor 1920 described above can be a general-purpose processor (for example, a microprocessor or a conventional processor), a digital signal processor (DSP), an application specific integrated circuit (ASIC), a field-programmable gate array (FPGA) or other programmable logic device, a discrete gate or transistor logic device, or a discrete hardware component. The processor 1920 can implement or execute the methods, steps, and logic block diagrams disclosed in the embodiments of the present application.
[0216] The embodiments of the present application provide a computer program product, which includes a computer program. When the computer program is executed, the computer program causes the computer to perform the steps of any of the above method embodiments. The implementation principles and technical effects can be referred to the related embodiments, and will not be described here.
[0217] The above merely provides the specific implementation of the present application, but the protection scope of the present application is not limited to this. Any person skilled in the art can easily think of the changes or replacements within the technical range disclosed by the present application, which should be covered in the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.
Claims
1. A headrest, characterized by, The headrest comprises: M+N error microphones, M error microphones are located in the left front area of the headrest, N error microphones are located in the right front area of the headrest, and the sound pickup holes of the M+N error microphones are directed towards the front of the headrest; Both N and M are positive integers greater than 2.
2. The headrest of claim 1, wherein The headrest comprises:
3. Headrest according to claim 1 or 2, characterized in that The headrest comprises:
4. Headrest according to any one of claims 1 to 3, characterized in that The headrest further comprises:
5. A seat, characterized by The headrest further comprises:
6. A seat, characterized by The seat comprises: The seat comprises: The seat further comprises:
7. The seat of claim 6, wherein, The seat further comprises:
8. The seat of claim 6 or 7, wherein, The seat further comprises:
9. The seat of any one of claims 6 to 8, wherein, The seat further comprises:
10. 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