Vehicle noise reduction method, controller, vehicle noise reduction system, vehicle, storage medium and program product

Abstract

The invention relates to the technical field of vehicle noise reduction, and provides a vehicle noise reduction method, a controller, a vehicle noise reduction system, a vehicle, a storage medium and a program product.The vehicle noise reduction method comprises the steps that a first audio signal collected by a microphone in the vehicle is obtained, and the first audio signal is used for determining a second audio signal of a target position in the vehicle; the second audio signal is used for generating an inverted audio signal; and controlling the loudspeaker to play the inverted audio signal, so that the inverted audio signal can be used for reducing the second audio signal when propagating to the target position. When the anti-phase audio signal generated by the vehicle noise reduction method is propagated to the target position, the second audio signal can be reduced, noise cancellation is directly and accurately realized at the target position, and the noise reduction effect is improved.

Description

Technical Field

[0001] The present disclosure relates to the technical field of vehicle noise reduction, and in particular, to a vehicle noise reduction method, a controller, a vehicle noise reduction system, a vehicle, a storage medium, and a program product. Background Art

[0002] Active Noise Cancellation (ANC) is a technology that uses an electronic system to generate a signal with a phase opposite to that of the ambient noise, and cancels or weakens the noise effect through the interaction of the signals. The core principle of active noise cancellation technology is based on the phenomenon of destructive interference of sound wave superposition, that is, when two sound waves with the same frequency and amplitude but opposite phases meet, they will cancel each other out, thereby achieving the effect of noise reduction.

[0003] In the related art, vehicle noise reduction mainly relies on a microphone to collect noise in real time, generates an anti-phase sound wave through an algorithm, and then emits a noise reduction sound by a speaker. However, since the anti-phase sound wave is generated based on the noise at the microphone position, its phase and intensity matching are only optimal at that position. When it propagates to other areas inside the vehicle, affected by sound wave attenuation, phase change, and the complex acoustic environment inside the vehicle, the effect of destructive interference is greatly weakened. Therefore, the generated anti-phase sound wave has a good noise reduction effect near the microphone, but a poor noise reduction effect at other positions inside the vehicle. Summary of the Invention

[0004] The purpose of the present disclosure is to provide a vehicle noise reduction method, a controller, a vehicle noise reduction system, a vehicle, a storage medium, and a program product to solve the technical problems in the related art.

[0005] To achieve the above purpose, the present disclosure provides a vehicle noise reduction method, and the vehicle noise reduction method includes: Obtain a first audio signal collected by a microphone inside the vehicle, where the first audio signal is used to determine a second audio signal at a target position inside the vehicle, and the second audio signal is used to generate an anti-phase audio signal; Control the speaker to play the anti-phase audio signal so that when the anti-phase audio signal propagates to the target position, it can be used to reduce the second audio signal.

[0006] Optionally, the anti-phase audio signal includes a first anti-phase audio signal obtained by inverting the second audio signal, and a second anti-phase audio signal determined according to a filtering parameter and the first audio signal.

[0007] Optionally, the filtering parameter is generated based on a second secondary acoustic feedback signal and a second noise audio signal, where the second noise audio signal represents an audio signal formed by the propagation of a noise source to the target position, and the second secondary acoustic feedback signal is an audio signal formed by the in-phase audio signal played by the speaker being transmitted to the target position.

[0008] Optionally, the second noise audio signal is generated based on the first audio signal and a first secondary acoustic feedback signal, where the first secondary acoustic feedback signal is an audio signal formed by the in-phase audio signal played by the speaker being transmitted to the microphone.

[0009] Optionally, the vehicle noise reduction method further includes: Based on the first audio signal and the first secondary acoustic feedback signal, determining a first noise audio signal, where the first noise audio signal represents an audio signal formed by the propagation of a noise source to the microphone; Based on the first noise audio signal and a preset transfer relationship, determining the second noise audio signal, where the preset transfer relationship represents the corresponding relationship between the audio signal at the microphone and the audio signal at the target position.

[0010] Optionally, the first secondary acoustic feedback signal is determined based on the in-phase audio signal played by the speaker and a pre-calibrated first transfer function, where the first transfer function represents the acoustic path characteristics of the audio signal played by the speaker being transmitted to the microphone; and / or, The second secondary acoustic feedback signal is determined based on the in-phase audio signal played by the speaker and a pre-calibrated second transfer function, where the second transfer function represents the acoustic path characteristics of the audio signal played by the speaker being transmitted to the target position.

[0011] Optionally, the first audio signal includes a plurality of sub-band signals in different frequency ranges, and the vehicle noise reduction method further includes: For each of the sub-band signals, determining a second in-phase audio signal corresponding to the sub-band signal according to the filtering parameter and the sub-band signal.

[0012] Optionally, the second audio signal is determined based on the first audio signal and a pre-trained processing model.

[0013] Optionally, the second audio signal is determined based on the first audio signal, the air conditioning working condition parameters when the microphone collects the first audio signal, and a pre-trained processing model.

[0014] Optionally, the target position is the ear position of the passenger in the vehicle.

[0015] The present disclosure also provides a controller, comprising: a memory storing a computer program thereon; a processor configured to execute the computer program in the memory to implement the steps of any one of the above vehicle noise reduction methods.

[0016] The present disclosure also provides a vehicle noise reduction system, the vehicle noise reduction system comprising: a microphone; a speaker; the above-mentioned controller, wherein both the microphone and the speaker are connected to the controller.

[0017] The present disclosure also provides a vehicle comprising the above-mentioned controller or the above-mentioned vehicle noise reduction system.

[0018] The present disclosure also provides a computer-readable storage medium storing a computer program thereon, and when the computer program is executed by a processor, the steps of any one of the above vehicle noise reduction methods are implemented.

[0019] The present disclosure also provides a computer program product comprising a computer program, and when the computer program is executed by a processor, the steps of any one of the above vehicle noise reduction methods are implemented.

[0020] By adopting the above technical solution, based on the first audio signal collected by the microphone, the second audio signal at the target position inside the vehicle (such as the ear position of the passengers inside the vehicle) is accurately determined; subsequently, an optimized inverted audio signal is generated for the second audio signal, and then the inverted audio signal is played by controlling the speaker, so that when the inverted audio signal propagates to the target position, it can be used to reduce the second audio signal, directly and precisely canceling the noise at the target position and improving the noise reduction effect.

[0021] Other features and advantages of the present disclosure will be described in detail in the subsequent specific implementation part. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] The drawings are used to provide a further understanding of the present disclosure and form a part of the specification, and are used to explain the present disclosure together with the following specific implementation, but do not constitute a limitation to the present disclosure. In the drawings: Figure 1 is a flowchart of a vehicle noise reduction method shown according to an exemplary embodiment.

[0023] Figure 2 is a schematic diagram of the relationship of an audio signal shown according to an exemplary embodiment.

[0024] Figure 3 is a schematic diagram of the filtering and segmentation of a first audio signal shown according to an exemplary embodiment.

[0025] Figure 4 It is a schematic diagram of an air conditioner noise transmission path shown according to an exemplary embodiment.

[0026] Figure 5 It is a training schematic diagram of a modeling network shown according to an exemplary embodiment.

[0027] Figure 6 It is an application schematic diagram of a modeling network shown according to an exemplary embodiment.

[0028] Figure 7 It is a schematic diagram of a vehicle noise reduction method shown according to an exemplary embodiment.

[0029] Figure 8 It is a block diagram of a vehicle noise reduction device shown according to an exemplary embodiment. Detailed implementation manners

[0030] The following will describe the detailed implementation manners of the present disclosure with reference to the accompanying drawings. It should be understood that the detailed implementation manners described herein are only used to illustrate and explain the present disclosure, and are not used to limit the present disclosure.

[0031] In the following description, terms such as "first" and "second" are only used for the purpose of distinguishing descriptions, and cannot be understood as indicating or implying relative importance, nor can they be understood as indicating or implying an order.

[0032] ANC is a technology that uses an electronic system to generate a signal with a phase opposite to that of the environmental noise, and cancels or weakens the noise impact through the interaction of signals. The core principle of active noise reduction technology is based on the destructive interference phenomenon of sound wave superposition, that is, when two sound waves with the same frequency and amplitude but opposite phases meet, they will cancel each other out, thereby achieving the noise reduction effect.

[0033] In the related art, vehicle noise reduction mainly relies on a microphone to collect noise in real time, generate an anti-phase sound wave through an algorithm, and then emit the noise reduction sound by a speaker. However, since the anti-phase sound wave is generated based on the noise at the microphone position, its phase and intensity matching are only optimal at that position. When it propagates to other areas inside the vehicle, affected by sound wave attenuation, phase change, and the complex acoustic environment inside the vehicle, the destructive interference effect is greatly weakened. Therefore, the generated anti-phase sound wave has a good noise reduction effect near the microphone, but a poor noise reduction effect at other positions inside the vehicle.

[0034] The patent titled "Active Noise Reduction System for Electric Vehicles and Electric Vehicles" (CN111572311A) discloses a noise reduction method and system for solving the noise of the electric vehicle air conditioner blower. The system includes: a main noise collection device, a human ear positioning collection device, and a signal processor. Among them, the main noise collection device is arranged inside the electric vehicle air conditioner box, the human ear positioning collection device is arranged inside the electric vehicle, the main noise collection device and the human ear positioning collection device are communicatively connected to the signal processor, the signal processor receives the noise signal and the binaural position signal, and updates the output phase acoustic wave signal in real time. The in-vehicle audio speaker of the electric vehicle receives the phase acoustic wave signal and outputs a noise cancellation acoustic wave, thereby achieving noise reduction of the air conditioner box blower noise.

[0035] The above solution has the following defects: First, since the automotive air conditioning ducts are relatively complex and there are many air vents in the cabin, according to the above patent description that "the main noise collection device is arranged inside the electric vehicle air conditioner box", a large number of reference microphones need to be arranged, which will cause many hardware problems: (1) The hardware system is relatively complex; (2) The high price of the microphones will result in a relatively high system cost; (3) There are too many wire harnesses between the microphones, increasing the difficulty of assembling the hardware system; (4) The controller needs to receive signals from a large number of microphones, so more signal receiving modules need to be set in the controller section; Second, arranging a large number of reference microphones will cause many software problems: (1) The controller needs to process more input signals, so the underlying driver design will be more complex; (2) A complex filter system needs to be designed from the reference microphones to the speakers, so it will occupy a relatively high system computing power requirement.

[0036] To solve the above technical problems, by accurately determining the second audio signal of the target position inside the vehicle (such as the ear position of the passengers inside the vehicle) based on the first audio signal collected by the microphone; then generating an optimized anti-phase audio signal for the second audio signal, and then controlling the speaker to play the anti-phase audio signal, so that when the anti-phase audio signal propagates to the target position, it can be used to reduce the second audio signal, directly and accurately canceling the noise at the target position and improving the noise reduction effect.

[0037] Figure 1 It is a flowchart of a vehicle noise reduction method shown according to an exemplary embodiment. This vehicle noise reduction method can be applied to a controller on a vehicle or a vehicle noise reduction system on a vehicle. Please refer to Figure 1 This vehicle noise reduction method may include step S1 and step S2.

[0038] Step S1, obtaining a first audio signal collected by an in-vehicle microphone. The first audio signal is used to determine a second audio signal of the target position inside the vehicle, and the second audio signal is used to generate an anti-phase audio signal.

[0039] The microphone is used to collect sound waves at positions inside the vehicle and convert the sound waves into electrical signals. The microphone can be installed at any position inside the vehicle, for example, on the center console, dashboard, A-pillar, etc. The microphone can reuse the voice wake-up microphone in the cockpit.

[0040] The first audio signal can be a mixed audio signal formed by the audio signal played by the speaker propagating to the microphone and the audio signal formed by the noise source propagating to the microphone.

[0041] The target position inside the vehicle is the position inside the vehicle where noise reduction is required. The target position can be, but is not limited to, the head position of the passengers inside the vehicle, the ear position of the passengers inside the vehicle, the driver's seat position, the co-driver's seat position, the rear seat position, etc.

[0042] The second audio signal can be a mixed audio signal formed by the audio signal played by the speaker propagating to the target position and the audio signal formed by the noise source propagating to the target position.

[0043] The anti-phase audio signal can be an audio signal used to suppress the second audio signal.

[0044] Step S2, control the speaker to play the anti-phase audio signal so that when the anti-phase audio signal propagates to the target position, it can be used to reduce the second audio signal.

[0045] First, determine the audio signal at the target position (such as the ear of the passenger inside the vehicle) serving as the noise receiving end, that is, the second audio signal, and then generate an anti-phase audio signal for suppression based on the second audio signal "heard" at the target position. Control the speaker to play the anti-phase audio signal so that when the anti-phase audio signal propagates to the target position, it can be used to reduce the second audio signal and perform precise noise reduction on the target position.

[0046] By accurately determining the second audio signal at the target position inside the vehicle (such as the ear position of the passenger inside the vehicle) based on the first audio signal collected by the microphone; subsequently generating an optimized anti-phase audio signal for the second audio signal, and then controlling the speaker to play the anti-phase audio signal so that when the anti-phase audio signal propagates to the target position, it can be used to reduce the second audio signal, directly and precisely achieving noise cancellation at the target position and improving the noise reduction effect.

[0047] In a possible implementation manner, please refer to Figure 2 , the anti-phase audio signal includes a first anti-phase audio signal obtained by inverting the second audio signal and a second anti-phase audio signal determined according to the filtering parameter and the first audio signal.

[0048] After the first inverted audio signal is played, it will be collected by the microphone and become part of the first audio signal. Therefore, there will be errors when directly playing the first inverted audio signal. Based on the filtering parameters and the first audio signal, a second inverted audio signal for compensating the first inverted audio signal can be obtained.

[0049] Perform an inversion operation on the second audio signal, that is, change its phase by 180 degrees to obtain the first inverted audio signal.

[0050] The determination process of the second inverted audio signal is as follows: Based on the first audio signal, determine the second noise audio signal, where the second noise audio signal represents the audio signal formed by the noise source propagating to the target position; Based on the second noise audio signal and the filtering parameters, determine the second inverted audio signal.

[0051] In a possible implementation, the second noise audio signal is generated according to the first audio signal and the first secondary acoustic feedback signal, and the first secondary acoustic feedback signal is the audio signal formed by the inverted audio signal played by the speaker propagating to the microphone.

[0052] In a possible implementation, the vehicle noise reduction method may further include: Based on the first audio signal and the first secondary acoustic feedback signal, determine the first noise audio signal, where the first noise audio signal represents the audio signal formed by the noise source propagating to the microphone; Based on the first noise audio signal and the preset transfer relationship, determine the second noise audio signal, where the preset transfer relationship represents the corresponding relationship between the audio signal at the microphone and the audio signal at the target position.

[0053] It should be understood that during this process, the current inverted audio signal has not been generated yet. Therefore, the first secondary acoustic feedback signal is the audio signal formed by the previously determined inverted audio signal played by the speaker propagating to the microphone.

[0054] In an embodiment, in the scenario of reducing the noise of the in-vehicle air conditioner, the first noise audio signal is the air conditioner noise audio signal collected at the microphone. The audio signal formed by the air conditioner noise propagating to the microphone and the audio signal formed by the inverted audio signal played by the speaker propagating to the microphone are mixed to obtain the mixed audio signal formed at the microphone. That is, the first noise audio signal and the first secondary acoustic feedback signal are mixed to obtain the first audio signal. Then, based on the first audio signal and the first secondary acoustic feedback signal, the first noise audio signal can be obtained.

[0055] Subtract the first secondary acoustic feedback signal from the first audio signal to obtain the first noise audio signal.

[0056] In a possible implementation, the first secondary acoustic feedback signal is determined according to the inverted audio signal played by the speaker and a pre-calibrated first transfer function, where the first transfer function characterizes the acoustic path characteristics of the audio signal played by the speaker propagating to the microphone.

[0057] By emitting a swept-frequency signal containing the noise reduction frequency band through the speaker, picking up the audio signal at the corresponding microphone, and based on algorithms such as the Variable Step-Size Least Mean Square (LMS) algorithm, the calibration of the first transfer function between the swept-frequency signal and the audio signal at the microphone can be completed.

[0058] The first secondary acoustic feedback signal is the convolution of the inverted audio signal and the first transfer function.

[0059] The preset transfer relationship can be, but is not limited to, a transfer relationship mapping table, a transfer relationship formula, a transfer relationship function, etc.

[0060] The calibration process of the preset transfer relationship is as follows: When the speaker is not playing, the noise source emits noise, which propagates to the microphone and the target position. Multiple first noise audio signals are collected at the microphone. A sound pickup device is set at the target position, and the sound pickup device picks up multiple second noise audio signals. According to the multiple first noise audio signals and the multiple second noise audio signals, the corresponding relationship between the audio signal at the microphone and the audio signal at the target position can be determined, that is, the preset transfer relationship between the first noise audio signal and the second noise audio signal is calibrated. The sound pickup device set at the target position can be a microphone.

[0061] Furthermore, in order to make the preset transfer relationship more accurate, in the scenario of reducing the noise of the vehicle air conditioner, the influence of the air conditioner operating condition parameters on the preset transfer relationship can also be considered. Under different air conditioner operating condition parameters, such as different modes, wind speeds, temperature set values, wind directions, circulation and other state parameters, the preset transfer relationship is calibrated. Correspondingly, based on the first noise audio signal and the preset transfer relationship, the second noise audio signal is determined. It can be understood that based on the air conditioner operating condition parameters, the first noise audio signal and the preset transfer relationship, the second noise audio signal formed at the target position in the vehicle is determined.

[0062] Among them, the mode can include modes such as refrigeration, heating, defrosting, ventilation, etc.; the wind speed can include different gear information, such as gears 1, 2, 3... 7, etc.; the temperature set value can include different set temperatures, such as 18°C, 19°C... 30°C, etc.; the wind direction can include settings such as blowing on the face, blowing on the feet, blowing on the face + blowing on the feet, etc.; the circulation can include internal circulation, external circulation, etc.

[0063] Based on the second noisy audio signal and the filtering parameters, determine the second inverted audio signal. It can be understood that the second noisy audio signal is filtered by the filtering parameters to obtain a filtered signal; then, an inversion operation is performed on the filtered signal, that is, its phase is changed by 180 degrees to obtain the second inverted audio signal.

[0064] In a possible implementation, the filtering parameters are generated based on the second secondary acoustic feedback signal and the second noisy audio signal, where the second noisy audio signal represents the audio signal formed by the noise source propagating to the target position, and the second secondary acoustic feedback signal is the audio signal formed by the inverted audio signal played by the speaker propagating to the target position.

[0065] The generation process of the filtering parameters is as follows: Based on the second secondary acoustic feedback signal and the second noisy audio signal, generate an error signal; Based on the error signal and the second noisy audio signal, determine the filtering parameters.

[0066] It should be understood that during this process, the current inverted audio signal has not been generated yet. Therefore, the second secondary acoustic feedback signal is the audio signal formed by the inverted audio signal determined last time played by the speaker propagating to the target position.

[0067] Exemplarily, in the scenario of reducing the noise of the in-vehicle air conditioner, the second noisy audio signal can be the air conditioner noise audio signal formed at the target position. The audio signal formed by the air conditioner noise propagating to the target position and the audio signal formed by the inverted audio signal played by the speaker propagating to the target position are mixed to obtain the mixed audio signal formed at the target position. That is, the second noisy audio signal and the second secondary acoustic feedback signal are mixed to obtain the error signal.

[0068] Adding the second noisy audio signal and the second secondary acoustic feedback signal can obtain the error signal.

[0069] In an embodiment, an adaptive filtering algorithm can be used. Taking the second noisy audio signal as the desired signal and the error signal as the input signal, by continuously adjusting the coefficients of the filter, the error between the output of the filter and the desired signal is minimized. The finally converged filter coefficients are the required filtering parameters. The adaptive filtering algorithm can be, but is not limited to, the LMS algorithm, the Recursive Least Squares (RLS) algorithm, the Affine Projection (AP) algorithm, etc.

[0070] In a possible implementation, the second secondary acoustic feedback signal is determined according to the inverted audio signal played by the speaker and a pre-calibrated second transfer function, where the second transfer function characterizes the acoustic path characteristics of the audio signal played by the speaker propagating to the target position.

[0071] The speaker emits a swept-frequency signal including a noise reduction frequency band, a sound pickup device is arranged at the target position to pick up the audio signal correspondingly, and the calibration of the second transfer function between the swept-frequency signal and the audio signal at the target position can be completed based on algorithms such as LMS.

[0072] The second secondary acoustic feedback signal can be the convolution of the inverted audio signal and the second transfer function.

[0073] In a possible implementation, the first audio signal includes a plurality of sub-band signals in different frequency ranges, and the vehicle noise reduction method may further include: For each sub-band signal, a second inverted audio signal corresponding to the sub-band signal is determined according to the filtering parameter and the sub-band signal.

[0074] To improve the accuracy, a certain number of sub-band filters can be designed to filter and divide the first audio signal into a plurality of sub-band signals in different frequency ranges. Please refer to Figure 3 , the sub-band signal 1 is filtered and divided by the sub-band filter 1, the sub-band signal 2 is filtered and divided by the sub-band filter 2... the sub-band signal N is filtered and divided by the sub-band filter N. The specific number of divided segments and the bandwidth of each segment can be determined according to the actual noise situation, and the frequency band width of each segment can be set as needed, which can be set to be equal-width or non-equal-width.

[0075] Exemplarily, if the frequency band range of the processed air conditioner noise is 0 - 1000 Hz, it can be divided into N parts (N is 20), that is, the first audio signal collected by the microphone is divided into sub-band signals with a bandwidth of 50 Hz.

[0076] For each sub-band signal, a second inverted audio signal corresponding to the sub-band signal is determined according to the filtering parameter and the sub-band signal. The processing process of determining the second inverted audio signal according to the filtering parameter and the first audio signal can be referred to, and the first audio signal therein is replaced with the sub-band signal to obtain the second inverted audio signal corresponding to the sub-band signal. This embodiment will not be elaborated here.

[0077] Please refer to Figure 4, when the speaker is not playing, after the in-vehicle air conditioner is turned on, the air conditioner noise (noise source), including blower noise, compressor noise, eddy current noise, pipeline vibration noise, etc., is transmitted to the microphone through transmission path ①. Therefore, the microphone will pick up the noise audio signal. Similarly, the above air conditioner noise is transmitted to the target position through transmission path ②. If a sound pickup device is arranged at the target position, the sound pickup device will also pick up the noise audio signal. Since the air conditioner noise radiates from inside the instrument panel into the cockpit, and the microphone is closer to the instrument panel, that is, transmission path ① is shorter than transmission path ②. Therefore, it is causal to use the noise audio signal picked up by the microphone to predict the noise audio signal formed at the target position. In addition, since the air conditioner noise sources are the same, the noise audio signal picked up by the microphone and the noise audio signal at the target position also meet the coherence requirement. Since the speaker is not playing, the noise audio signal picked up by the microphone is equal to the first audio signal, and the noise audio signal picked up by the sound pickup device is equal to the second audio signal. Thus, by picking up the noise audio signal with multiple microphones and the noise audio signal picked up by the corresponding multiple sound pickup devices, the mapping relationship between the first audio signal and the second audio signal can be calibrated. Then, according to the first audio signal collected by the microphone and the pre-calibrated mapping relationship, the second audio signal formed at the target position can be obtained.

[0078] In one embodiment, the second audio signal may be generated according to the first audio signal and a pre-calibrated mapping relationship.

[0079] In a possible implementation manner, the second audio signal is determined according to the first audio signal and a pre-trained processing model.

[0080] Input the first audio signal collected by the microphone into a pre-trained neural network to obtain the second audio signal.

[0081] Among them, the pre-trained neural network is used to predict the second audio signal formed at the target position according to the first audio signal collected by the microphone.

[0082] The pre-trained neural network can be trained in the following way: Collect a large number of audio signals collected by the microphone, and at the same time collect the audio signals at the target position as labels, and train them in a supervised learning manner. During the training process, the neural network model will learn how to predict the second audio signal formed at the target position according to the input first audio signal.

[0083] In a possible implementation manner, the second audio signal is determined according to the first audio signal, the air conditioner working condition parameters when the microphone collects the first audio signal, and a pre-trained processing model.

[0084] The air conditioner operating condition parameters can be, but are not limited to, state parameters such as mode, wind speed, temperature setting value, air direction, circulation, etc. Among them, the mode can include modes such as cooling, heating, defrosting, ventilation, etc.; the wind speed can include different gear information, such as gears 1, 2, 3... 7, etc.; the temperature setting value can include different set temperatures, such as 18°C, 19°C... 30°C, etc.; the air direction can include settings such as face blowing, foot blowing, face + foot blowing, etc.; the circulation can include internal circulation, external circulation, etc.

[0085] Input the first audio signal collected by the microphone and the air conditioner operating condition parameters into a pre-trained neural network to obtain a second audio signal.

[0086] Among them, the pre-trained neural network is used to predict the second audio signal formed at the target position according to the first audio signal collected by the microphone under different air conditioner operating condition parameters.

[0087] Please refer to Figure 5 , the pre-trained neural network can be trained in the following way: Collect a large number of audio signals collected by the microphone and the corresponding air conditioner operating condition parameter data, and at the same time collect the audio signal at the target position as a label, and train through the method of supervised learning. During the training process, the neural network model will learn how to predict the second audio signal formed at the target position according to the input first audio signal and air conditioner operating condition parameters.

[0088] In other embodiments, please refer to Figure 6 , after the pre-trained neural network outputs the second audio signal formed at the target position, generating the first anti-phase audio signal according to the second audio signal can all be implemented by the modeling network, that is, the input of the modeling network is the first audio signal and the air conditioner operating condition parameters, and the output of the modeling network is the first anti-phase audio signal. Please refer to Figure 7 again, the process of generating the second anti-phase audio signal can also be completed by the feedback adaptive filter. Through the feedback adaptive filter, stable noise reduction can be achieved. After the first audio signal is processed by low-pass filtering and the like, it is input into the modeling network and the adaptive filter. Among them, after the processed first audio signal passes through the modeling network, a first anti-phase audio signal will be generated, and after the same signal passes through the feedback adaptive filter, a second anti-phase audio signal will be generated. The two are mixed to generate the actual speaker mixed output. And the audio signal of the speaker mixed output will also be picked up by the microphone, so it will be used to update the feedback adaptive filter.

[0089] The modeling network can be, but is not limited to, an identification filter, a neural network, a linear model, a perceptron, a support vector machine, etc.

[0090] It should be understood that the above-mentioned filters all refer to digital filters, which are algorithms or devices composed of digital multipliers, adders, and delay units. The function of a digital filter is to perform arithmetic processing on the digital codes of the input discrete signals to achieve the purpose of changing the signal spectrum.

[0091] The modeling network, preset transfer relationship, pre-trained neural network, first transfer function, and second transfer function can be obtained through offline calibration.

[0092] In the vehicle noise reduction method provided by the present disclosure, on the one hand, there is no need to additionally arrange sensors in the air-conditioning duct, thus significantly saving hardware costs, reducing the system complexity, and avoiding the difficulties in the installation and assembly of sensors; on the other hand, since it is non-duct noise control, there is also no need to arrange speakers in the air-conditioning duct, avoiding the difficulties in the installation and assembly of speakers; on the third hand, there is no need to increase the hardware cost, the microphone can be reused as the voice wake-up microphone in the cockpit, and algorithms such as the fixed modeling network and adaptive filter can be executed in existing controllers such as power amplifiers or vehicle head units; on the fourth hand, using the technical route combining fixed prediction and feedback adaptation, due to the statistical stationary characteristics of air-conditioning noise, good effects can be achieved with fixed prediction, and more stable effects can be achieved by further combining feedback adaptation.

[0093] Based on the same inventive concept, this embodiment further provides a vehicle noise reduction device, which can be applied to a controller on a vehicle or a vehicle noise reduction system on a vehicle. Figure 8 It is a block diagram of a vehicle noise reduction device shown according to an exemplary embodiment. The vehicle noise reduction device 600 may include: A first processing module 601, configured to obtain a first audio signal collected by an in-vehicle microphone, where the first audio signal is used to determine a second audio signal at a target position in the vehicle, and the second audio signal is used to generate an anti-phase audio signal; A second processing module 602, configured to control a speaker to play the anti-phase audio signal, so that when the anti-phase audio signal propagates to the target position, it can be used to reduce the second audio signal.

[0094] Optionally, the anti-phase audio signal includes a first anti-phase audio signal obtained by inverting the second audio signal, and a second anti-phase audio signal determined according to the filtering parameter and the first audio signal.

[0095] Optionally, the filtering parameter is generated according to a second secondary acoustic feedback signal and a second noise audio signal, where the second noise audio signal represents an audio signal formed by the noise source propagating to the target position, and the second secondary acoustic feedback signal is an audio signal formed by the anti-phase audio signal played by the speaker propagating to the target position.

[0096] Optionally, the second noise audio signal is generated based on the first audio signal and the first secondary acoustic feedback signal, where the first secondary acoustic feedback signal is an audio signal formed by the inverted audio signal played by the speaker being transmitted to the microphone.

[0097] Optionally, the vehicle noise reduction device 600 may further include: A third processing module, configured to determine a first noise audio signal based on the first audio signal and the first secondary acoustic feedback signal, where the first noise audio signal represents an audio signal formed by the noise source propagating to the microphone; A fourth processing module, configured to determine a second noise audio signal based on the first noise audio signal and a preset transfer relationship, where the preset transfer relationship represents the corresponding relationship between the audio signal at the microphone and the audio signal at the target position.

[0098] Optionally, the first secondary acoustic feedback signal is determined based on the inverted audio signal played by the speaker and a pre-calibrated first transfer function, where the first transfer function represents the acoustic path characteristics of the audio signal played by the speaker propagating to the microphone; and / or, The second secondary acoustic feedback signal is determined based on the inverted audio signal played by the speaker and a pre-calibrated second transfer function, where the second transfer function represents the acoustic path characteristics of the audio signal played by the speaker propagating to the target position.

[0099] Optionally, the first audio signal includes multiple sub-band signals in different frequency ranges, and the vehicle noise reduction device 600 may further include: A fifth processing module, configured to, for each sub-band signal, determine a second inverted audio signal corresponding to the sub-band signal according to the filtering parameter and the sub-band signal.

[0100] Optionally, the second audio signal is determined based on the first audio signal and a pre-trained processing model.

[0101] Optionally, the second audio signal is determined based on the first audio signal, the air-conditioning operating condition parameters when the microphone collects the first audio signal, and a pre-trained processing model.

[0102] Optionally, the target position is the position of the ears of the passengers in the vehicle.

[0103] Regarding the vehicle noise reduction device in the above embodiments, the specific manners in which each module performs operations have been described in detail in the embodiments of the vehicle noise reduction method, and will not be elaborated herein.

[0104] An embodiment of the present disclosure further provides a controller, including: A memory, on which a computer program is stored; A processor for executing a computer program in a memory to implement the steps of the vehicle noise reduction method described above.

[0105] An embodiment of the present disclosure further provides a vehicle noise reduction system, which includes: A microphone; A speaker; The above-mentioned controller, and both the microphone and the speaker are connected to the controller.

[0106] An embodiment of the present disclosure further provides a vehicle, including the above-mentioned controller or the above-mentioned vehicle noise reduction system.

[0107] An embodiment of the present disclosure further provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the steps of the vehicle noise reduction method described above are implemented.

[0108] An embodiment of the present disclosure further provides a computer program product, including a computer program, and when the computer program is executed by a processor, the steps of the vehicle noise reduction method described above are implemented.

[0109] The preferred embodiments of the present disclosure have been described in detail above with reference to the accompanying drawings. However, the present disclosure is not limited to the specific details in the above embodiments. Within the scope of the technical concept of the present disclosure, various simple modifications can be made to the technical solutions of the present disclosure, and these simple modifications all fall within the protection scope of the present disclosure.

[0110] In addition, it should be noted that, in the various specific technical features described in the above specific embodiments, they can be combined in any suitable manner without conflict. To avoid unnecessary repetition, the present disclosure will not separately describe various possible combination methods.

[0111] In addition, any combination can be made between various different embodiments of the present disclosure, as long as it does not violate the idea of the present disclosure, it should also be regarded as the content disclosed by the present disclosure.

Claims

1. A vehicle noise reduction method, characterized in that: The vehicle noise reduction method comprises: Acquire a first audio signal collected by a microphone in the vehicle, the first audio signal is used to determine a second audio signal at a target position in the vehicle, and the second audio signal is used to generate an inverted audio signal; The speaker is controlled to play the inverted audio signal, so that the inverted audio signal can be used to reduce the second audio signal when it propagates to the target position.

2. The vehicle noise reduction method according to claim 1, characterized in that: The inverted audio signal includes a first inverted audio signal obtained by inverting the second audio signal, and a second inverted audio signal determined according to a filtering parameter and the first audio signal.

3. The vehicle noise reduction method according to claim 2, characterized in that: The filtering parameters are generated based on a second secondary acoustic feedback signal and a second noise audio signal, wherein the second noise audio signal represents an audio signal formed when the noise source propagates to the target position, and the second secondary acoustic feedback signal is an audio signal formed when the inverted audio signal played by the speaker is transmitted to the target position.

4. The vehicle noise reduction method according to claim 3, characterized in that: The second noise audio signal is generated according to the first audio signal and a first secondary acoustic feedback signal, where the first secondary acoustic feedback signal is an audio signal formed when the inverted audio signal played by the speaker is transmitted to the microphone.

5. The vehicle noise reduction method according to claim 4, characterized in that: The vehicle noise reduction method further comprises: Determine a first noise audio signal based on the first audio signal and the first secondary acoustic feedback signal, wherein the first noise audio signal represents an audio signal formed when a noise source propagates to the microphone; The second noise audio signal is determined based on the first noise audio signal and a preset transfer relationship, wherein the preset transfer relationship represents a corresponding relationship between the audio signal at the microphone and the audio signal at the target position.

6. The vehicle noise reduction method according to claim 5, characterized in that: The first secondary acoustic feedback signal is determined according to the anti-phase audio signal played by the speaker and a pre-calibrated first transfer function, wherein the first transfer function represents the acoustic path characteristics of the audio signal played by the speaker to the microphone; and / or, The second secondary acoustic feedback signal is determined according to the anti-phase audio signal played by the speaker and a pre-calibrated second transfer function, wherein the second transfer function represents the acoustic path characteristics of the audio signal played by the speaker propagating to the target position.

7. The vehicle noise reduction method according to claim 2, characterized in that: The first audio signal includes a plurality of sub-band signals in different frequency ranges, and the vehicle noise reduction method further includes: For each of the sub-band signals, a second inverse phase audio signal corresponding to the sub-band signal is determined according to the filter parameter and the sub-band signal.

8. The vehicle noise reduction method according to any one of claims 1 to 6, characterized in that: The second audio signal is determined according to the first audio signal and a pre-trained processing model.

9. The vehicle noise reduction method according to any one of claims 1 to 6, characterized in that: The second audio signal is determined according to the first audio signal, air-conditioning operating parameters when the microphone collects the first audio signal, and a pre-trained processing model.

10. The vehicle noise reduction method according to any one of claims 1 to 6, characterized in that: The target position is the ear position of the passenger in the vehicle.

11. A controller, characterized in that: include: a memory having a computer program stored thereon; A processor is used to execute the computer program in the memory to implement the steps of the vehicle noise reduction method according to any one of claims 1 to 10.

12. A vehicle noise reduction system, characterized in that: The vehicle noise reduction system comprises: microphone; speaker; The controller as claimed in claim 11, wherein the microphone and the speaker are both connected to the controller.

13. A vehicle, characterized in that: Includes the controller according to claim 11 or the vehicle noise reduction system according to claim 12.

14. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the vehicle noise reduction method according to any one of claims 1 to 10 are implemented.

15. A computer program product, characterized in that The invention comprises a computer program, which, when executed by a processor, implements the steps of the vehicle noise reduction method according to any one of claims 1 to 10.

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