Low-power Noise Reduction Method, Device, Readable Storage Medium and Headphones
By obtaining environmental noise information in the headset in real time and neutralizing the noise using an adaptive noise reduction algorithm, combining setting the microphone threshold level and turning off unnecessary power, the problem of high power consumption during the headset noise reduction process is solved, achieving longer battery life and better low-frequency noise reduction effect.
Patent Information
- Application Number
- CN202110342069.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2021-03-30
- Publication Date
- 2025-06-17
- Estimated Expiration
- 2041-03-30
AI Technical Summary
Existing headphones consume high power in the noise reduction process, resulting in insufficient battery life, and passive noise reduction has no obvious effect on low-frequency noise reduction.
By obtaining the acoustic wave information of ambient noise in the headset in real time, and using the adaptive noise reduction algorithm to generate opposite sound waves for neutralization, and setting the threshold level of the microphone, turning off the power supply of the adaptive noise reduction algorithm and non-voice wake-up microphone to reduce power consumption.
It effectively reduces the power consumption of the headphones during noise reduction, extends the battery life, and improves the noise reduction effect of low-frequency noise.
Smart Images

Figure CN112866867B_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of headphone noise reduction, and specifically relates to a low-power noise reduction method, device, readable storage medium and headphones.
Background Art
[0002] With the progress of society and the improvement of people's living standards, headphones have become an essential daily necessity in people's lives. People often answer and make calls on the street, on buses, or in the subway. The noise in such environments will be picked up by the call microphone of the headphones and mixed with the content of our speech, and then sent up to the receiver of the other party's phone, affecting the voice quality of the other party's call. Therefore, the upstream noise reduction technology is very necessary.
[0003] Existing call headphones include two noise reduction methods: active and passive. Among them, active noise reduction is to generate an inverse sound wave equal to the external noise through a noise reduction system to neutralize the noise, thereby achieving the noise reduction effect. It requires the installation of an active noise reduction circuit and a power supply, with high energy consumption and easily leading to insufficient battery life of the headphones; passive noise reduction mainly forms a closed space by surrounding the ears or uses sound insulation materials such as silicone earplugs to block external noise. Since the noise is not processed by a noise reduction circuit chip, it generally can only block high-frequency noise and has an insignificant noise reduction effect on low-frequency noise.
[0004] In view of this, it is necessary to provide a low-power noise reduction method, device, readable storage medium and headphones to overcome the deficiencies of the prior art.
Summary of the Invention
[0005] The object of the present invention is to provide a low-power noise reduction method, aiming to reduce the power consumption of the headphones during noise reduction.
[0006] To achieve the above object, the present invention provides a low-power noise reduction method, which is used in headphones with an adaptive noise reduction function. The headphones obtain the acoustic wave information of the ambient noise in real time through a plurality of microphones, and generate an inverse sound wave to the ambient noise through an adaptive noise reduction algorithm to neutralize the ambient noise. The method includes:
[0007] After enabling the low-power noise reduction function, detect the magnitude of the current ambient noise;
[0008] Set the threshold level of the microphone according to the detected magnitude of the current ambient noise;
[0009] Turn off the adaptive noise reduction algorithm;
[0010] Turn off the power supply of other microphones except those used for voice wake-up.
[0011] As an improvement to the low-power noise reduction method of the present invention, after the earphone turns on the adaptive noise reduction function, it detects the time when the earphone remains stationary, and when the time when the earphone remains stationary reaches the first time threshold, it turns on the low-power noise reduction function.
[0012] As an improvement to the low-power noise reduction method of the present invention, after the earphone turns on the adaptive noise reduction function, it detects the time when there is no voice output from the earphone, and when the time when there is no voice output from the earphone reaches the second time threshold, it turns on the low-power noise reduction function.
[0013] As an improvement to the low-power noise reduction method of the present invention, it also includes turning off the low-power noise reduction function after receiving a voice wake-up message, and includes the following steps:
[0014] After receiving the voice wake-up message, turn on the power of all microphones;
[0015] Turn on the adaptive noise reduction algorithm;
[0016] Remove the threshold level limit of the microphone;
[0017] Turn off the low-power noise reduction function.
[0018] The present invention also provides a low-power noise reduction device, which is used on an earphone with an adaptive noise reduction function. The earphone obtains the acoustic wave information of the ambient noise in real time through a plurality of microphones, and generates an acoustic wave opposite to the ambient noise through an adaptive noise reduction algorithm to neutralize the ambient noise. The device includes a low-power noise reduction module, a first detection module, a threshold setting module, an algorithm module, and a power supply module;
[0019] After the low-power noise reduction module turns on the low-power noise reduction function,
[0020] The first detection module is used to detect the magnitude of the current ambient noise;
[0021] The threshold setting module is used to set the threshold level of the microphone according to the magnitude of the current ambient noise detected by the detection module;
[0022] The algorithm module is used to turn off the adaptive noise reduction algorithm;
[0023] The power supply module is used to turn off the power of other microphones except those used for voice wake-up.
[0024] As an improvement of the low-power noise reduction device of the present invention, it also includes a second detection module; after the headset turns on the adaptive noise reduction function, the second detection module detects the time the headset remains in a static state, and when the time the headset remains in a static state reaches a first time threshold, the low-power noise reduction function is turned on through the low-power noise reduction module.
[0025] As an improvement of the low-power noise reduction device of the present invention, it also includes a third detection module; after the headset turns on the adaptive noise reduction function, the third detection module detects the time when the headset has no voice output, and when the time when the headset has no voice output reaches a second time threshold, turns on the low-power noise reduction function.
[0026] After the microphone used for voice wake-up receives the voice wake-up information, the low-power noise reduction module turns off the low-power noise reduction function after the algorithm module starts the adaptive noise reduction algorithm, the power module turns on the power of all the microphones, and the threshold setting module releases the threshold level limit of the microphone.
[0027] The present invention also provides a readable storage medium storing a computer program, and when the computer program is executed by a processor, the steps of the low-power consumption noise reduction method are implemented.
[0028] The present invention also provides a headset, comprising the above-mentioned readable storage medium and a processor, wherein the processor implements the steps of the above-mentioned low-power consumption noise reduction method when executing the computer program on the readable storage medium.
[0029] Compared with the prior art, the beneficial effect of the present invention is that noise is reduced by setting the threshold level of the microphone, so that the earphone can turn off the power of the adaptive noise reduction algorithm and the microphone related thereto during the noise reduction process, thereby greatly reducing the energy consumption of the earphone.
[0030] In order to make the above-mentioned objects, features and advantages of the invention more obvious and easy to understand, the preferred embodiments of the present invention are specifically cited below and described in detail with reference to the attached drawings.
Brief Description of the Drawings
[0031] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for use in the embodiments are briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present invention and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without creative work.
[0032] Figure 1 A flowchart of the steps of the low-power consumption noise reduction method provided by the present invention.
[0033] Figure 2 For Figure 1 the flowchart of the step of turning off the low-power noise reduction function in step S5 of the low-power noise reduction method shown
[0034] Figure 3 the structural schematic diagram of the low-power noise reduction device provided by the invention
[0035] Figure 4 the internal structure diagram of the earphone provided by the invention
Detailed Embodiments
[0036] In order to make the objectives, technical solutions and beneficial technical effects of the present invention clearer and more understandable, the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described in this specification are only for explaining the present invention and not for limiting the present invention.
[0037] The low-power noise reduction method provided by this application is used in an earphone with an adaptive noise reduction function. The earphone obtains the acoustic wave information of the ambient noise in real time through a plurality of microphones, and generates an acoustic wave opposite to the ambient noise through an adaptive noise reduction algorithm to neutralize the ambient noise.
[0038] As Figure 1 shown, in some embodiments of this application, a low-power noise reduction method is provided, and the method may include the following steps:
[0039] S1. After turning on the low-power noise reduction function, detect the magnitude of the current ambient noise.
[0040] Here, the magnitude of the ambient noise refers to the decibel number of the ambient noise. The acoustic wave information of the current ambient noise can be obtained through the microphone first, and then the acoustic wave information can be analyzed by the processor on the earphone to obtain the magnitude of the ambient noise.
[0041] It should be noted that a relatively large power consumption will occur only after the earphone turns on the adaptive noise reduction function. Therefore, the low-power noise reduction function can be triggered only after the earphone turns on the adaptive noise reduction function, and the turning on of the low-power noise reduction function can be automatically executed.
[0042] For example, after the earphone turns on the adaptive noise reduction function, it can detect the time when the earphone remains stationary, and when the time when the earphone remains stationary reaches the first time threshold, turn on the low-power noise reduction function.
[0043] It should be understood that after the user wears and uses the earphones, if the earphones remain stationary for a long time, it means that the user has been maintaining a certain posture. We know that the user can only remain stationary when lying down. For example, the user can remain stationary when in a dormant state. At this time, the user cannot operate the earphones. The low-power noise reduction function can be enabled to reduce the energy consumption of the earphones, so that the user can continue to use the earphones with sufficient power after waking up.
[0044] For another example, after the earphones enable the adaptive noise reduction function, the time when there is no voice output from the earphones can be detected, and when the time when there is no voice output from the earphones reaches the second time threshold, the low-power noise reduction function is enabled.
[0045] It should be understood that when there is no voice output from the earphones for a long time, it means that the earphones are in an idle state. At this time, the low-power noise reduction function can be enabled to reduce the energy consumption.
[0046] S2. Set the threshold level of the microphone according to the detected magnitude of the current ambient noise.
[0047] The threshold refers to a limit on the sound entering the microphone. The threshold level determines how many decibels below which the sound will be restricted, that is, the sound within the threshold level range will be ignored by the microphone. In this way, setting the threshold level of the microphone according to the detected magnitude of the current ambient noise is to make the microphone ignore the current ambient noise, so as to achieve the noise reduction function without consuming electric energy.
[0048] S3. Turn off the adaptive noise reduction algorithm.
[0049] It should be understood that after the adaptive noise reduction function is enabled, the adaptive noise reduction algorithm will always be in an operating state, enabling the earphones to adaptively reduce noise. Therefore, the power consumption of the adaptive noise reduction algorithm is relatively large. Turning off the adaptive noise reduction algorithm can save a large amount of electric energy of the mobile phone.
[0050] S4. Turn off the power supply of other microphones except those used for voice wake-up.
[0051] It should be understood that after the adaptive noise reduction function is enabled, the microphone needs to obtain the acoustic wave information of the ambient noise in real time under the drive of electric energy. Therefore, turning off the power supply of other microphones except those used for voice wake-up can further reduce the energy consumption of the earphones.
[0052] S5. Turn off the low-power noise reduction function after receiving the voice wake-up information. Here, the reserved microphone used for voice wake-up is used to receive the voice wake-up information. And during the process of turning off the low-power noise reduction function, in order to avoid the phenomenon that the ambient noise suddenly cannot be blocked, the following steps can be executed, as Figure 2 shown:
[0053] S51. After receiving the voice wake-up message, turn on the power of all microphones;
[0054] S52. Turn on the adaptive noise reduction algorithm;
[0055] S53. Remove the threshold level limit of the microphone;
[0056] S54. Turn off the low-power noise reduction function.
[0057] It can be understood that first, turn on the power of all microphones so that the microphones can work normally. At this time, due to the existence of the threshold level, the microphones will not send environmental noise to the earphones, so it does not affect the noise reduction effect. Then, turn on the adaptive noise reduction algorithm so that the adaptive noise reduction function starts to work normally. Then, remove the threshold level limit of the microphone. At this time, the adaptive noise reduction algorithm can generate sound waves opposite to the external environmental noise through the sound wave information obtained from the microphone to neutralize the environmental noise. Finally, turn off the low-power noise reduction function. During the whole process, the environmental noise can always be blocked, so that the turning off of the low-power noise reduction function will not affect the noise reduction effect.
[0058] In summary, the above embodiments propose a low-power noise reduction method, which reduces noise by setting the threshold level of the microphone, so that the earphones can turn off the adaptive noise reduction algorithm and the power of the related microphones during the noise reduction process, thereby greatly reducing the energy consumption of the earphones.
[0059] Figure 3 FIG. 19 is a schematic structural diagram of a low-power noise reduction device provided by another embodiment of the present invention. The device is used on earphones with an adaptive noise reduction function. The earphones obtain the sound wave information of the environmental noise in real time through a plurality of microphones, and generate sound waves opposite to the environmental noise through the adaptive noise reduction algorithm to neutralize the environmental noise.
[0060] In an embodiment of the present invention, the low-power noise reduction device includes a low-power noise reduction module 10, a first detection module 20, a threshold setting module 30, an algorithm module 40, and a power supply module 50. After the low-power noise reduction module 10 turns on the low-power noise reduction function, the first detection module 20 is used to detect the magnitude of the current environmental noise, the threshold setting module 30 is used to set the threshold level of the microphone according to the magnitude of the current environmental noise detected by the first detection module 20, the algorithm module 40 is used to turn off the adaptive noise reduction algorithm, and the power supply module 50 is used to turn off the power of other microphones except those for voice wake-up.
[0061] In a preferred embodiment, the low-power noise reduction device further includes a second detection module 60. After the earphones turn on the adaptive noise reduction function, the second detection module 60 detects the time when the earphones remain in a stationary state, and when the time when the earphones remain in a stationary state reaches a first time threshold, the low-power noise reduction module 10 is used to turn on the low-power noise reduction function.
[0062] In a preferred embodiment, the low power noise reduction device also includes a third detection module 70; after the headset turns on the adaptive noise reduction function, the third detection module 70 detects the time when the headset has no voice output, and when the time when the headset has no voice output reaches a second time threshold, the low power noise reduction function is turned on through the low power noise reduction module 10.
[0063] In a preferred embodiment, the low-power noise reduction device turns off the low-power noise reduction function through voice wake-up information. Specifically, after the microphone used for voice wake-up receives the voice wake-up information, the low-power noise reduction module waits for the algorithm module to start the adaptive noise reduction algorithm, the power module to turn on the power of all microphones, and the threshold setting module to release the threshold level limit of the microphone before turning off the low-power noise reduction function.
[0064] The above embodiment proposes a low-power noise reduction device, which reduces noise by setting a threshold level of the microphone, so that the headset can turn off the power of the adaptive noise reduction algorithm and the microphone related thereto during the noise reduction process, thereby greatly reducing the energy consumption of the headset.
[0065] It should be noted that the above-mentioned low-power noise reduction device can execute the low-power noise reduction method provided in the embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the execution method. For technical details not fully described in the embodiment of the low-power noise reduction device, please refer to the low-power noise reduction method provided in the embodiment of the present invention.
[0066] In one embodiment, the present invention further provides a readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the following steps are implemented:
[0067] S1, after turning on the low-power noise reduction function, detect the current environmental noise level;
[0068] S2, setting the threshold level of the microphone according to the detected current environmental noise;
[0069] S3, turn off the adaptive noise reduction algorithm;
[0070] S4, turn off the power of other microphones except those used for voice wake-up.
[0071] S5, turn off the low-power noise reduction function after receiving the voice wake-up message.
[0072] In one embodiment, when the processor executes step S1, the computer program further includes: after turning on the adaptive noise reduction function, detecting the time the earphone remains in a stationary state, and when the time the earphone remains in a stationary state reaches a first time threshold, turning on the low power noise reduction function.
[0073] In one embodiment, when the computer program is executed by the processor in step S1, it also includes: after turning on the adaptive noise reduction function, detecting the time when there is no voice output from the earphone, and when the time when there is no voice output from the earphone reaches a second time threshold, turning on the low power noise reduction function.
[0074] In one embodiment, when the computer program is executed by the processor in step S5, the computer program further includes:
[0075] S51, after receiving the voice wake-up message, turn on the power of all microphones;
[0076] S52, turn on the adaptive noise reduction algorithm;
[0077] S53, releasing the threshold level restriction of the microphone;
[0078] S54, turn off the low power noise reduction function.
[0079] The above embodiment proposes a readable storage medium on which a computer program is stored. When the computer program is executed by a processor, a low-power noise reduction method is executed. Therefore, it is beneficial to control the noise reduction threshold level of the microphone to reduce noise, so that the headset can turn off the noise reduction algorithm and the corresponding microphone, thereby greatly reducing the energy consumption of the headset.
[0080] Figure 4 The figure is a diagram of the internal structure of an earphone in an embodiment, and the earphone may be a TWS earphone or other earphones with active noise reduction function. Figure 4 As shown, the headset includes a memory 81 and a processor 80. The memory 81 stores a computer program 82. When the processor 80 executes the computer program 82, the steps of the low-power noise reduction method described in the above embodiments are implemented.
[0081] Those skilled in the art will understand that Figure 4 It is only an example of the terminal of the present invention and does not constitute a limitation on the terminal. It may include more or fewer components than shown in the figure, or a combination of certain components, or different components. For example, the terminal may also include a power management module, an operation processing module, input and output devices, a network access device, a bus, etc.
[0082] The so-called processor 80 may be a Central Processing Unit (CPU), or may also be other general-purpose processors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field-Programmable Gate Arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc.
[0083] The memory 81 may be an internal storage unit of the terminal, such as a hard disk or memory. The memory 81 may also be an external storage device of the terminal, such as a plug-in hard disk equipped on the compass calibration terminal, a Smart Media Card (SMC), a Secure Digital (SD) card, a Flash Card, etc. Further, the memory 81 may also include both the internal storage unit of the compass calibration terminal and the external storage device. The memory 81 is used to store computer programs and other programs and data required by the compass calibration terminal. The memory 81 may also be used to temporarily store data that has been output or is to be output.
[0084] Those skilled in the art can clearly understand that, for the convenience and simplicity of description, only the above-mentioned division of each functional unit and module is used as an example. In actual applications, the above-mentioned functions can be assigned to different functional units and modules according to needs, that is, the internal structure of the terminal is divided into different functional units or modules to complete all or part of the functions described above. Each functional unit and module in the embodiment may be integrated in a processing unit, or each unit may exist physically alone, or two or more units may be integrated in one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of a software functional unit. In addition, the specific names of each functional unit and module are only for the convenience of mutual distinction and do not limit the protection scope of this application. The specific working processes of the units and modules in the above-mentioned device refer to the corresponding processes in the foregoing method embodiments and will not be described in detail here.
[0085] In the above embodiments, the descriptions of the various embodiments have their own emphases. For the parts not detailed or recorded in a certain embodiment, reference may be made to the relevant descriptions of other embodiments.
[0086] Those of ordinary skill in the art will appreciate that the units and method steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or in a combination of computer software and electronic hardware. Whether these functions are executed in hardware or software depends on the specific application and design constraints of the technical solution. A professional technician can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of the present invention.
[0087] In the embodiments provided by the present invention, it should be understood that the disclosed terminals / terminal devices and methods can be implemented in other ways. For example, the terminal / terminal device embodiments described above are merely illustrative. For example, the division of modules or units is only a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components can be combined or integrated into another device, or some features can be ignored or not executed. Another point is that the displayed or discussed couplings or direct couplings or communication connections to each other can be through some interfaces. The indirect couplings or communication connections of terminals or units can be electrical, mechanical or other forms.
[0088] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they can be located in one place, or distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.
[0089] In addition, the functional units in each embodiment of the present invention can be integrated into one processing unit, or each unit can exist physically alone, or two or more units can be integrated into one unit. The above-mentioned integrated units can be implemented in the form of hardware or in the form of software functional units.
[0090] The present invention is not limited only to what is described in the specification and embodiments. Therefore, for those familiar with the field, additional advantages and modifications can be easily achieved. Thus, without departing from the spirit and scope of the general concept defined by the claims and their equivalents, the present invention is not limited to the specific details, representative devices, and illustrated examples shown and described herein.
Claims
1. A low-power noise reduction method, which is used on headphones with adaptive noise reduction function. The headphones obtain the sound wave information of ambient noise in real time through a plurality of microphones, and generate sound waves opposite to the ambient noise through an adaptive noise reduction algorithm to neutralize the ambient noise. It is characterized in that, The method includes: After enabling the low-power noise reduction function, detecting the magnitude of the current ambient noise; Setting the threshold level of the microphone according to the detected magnitude of the current ambient noise; Turning off the adaptive noise reduction algorithm; Turning off the power supply of other microphones except those for voice wake-up; It also includes turning off the low-power noise reduction function after receiving the voice wake-up information, and includes the following steps: After receiving the voice wake-up information, turning on the power supply of all microphones; Enabling the adaptive noise reduction algorithm; Removing the threshold level limit of the microphone Turning off the low-power noise reduction function.
2. The low-power noise reduction method according to claim 1, characterized in that, After the earphone enables the adaptive noise reduction function, detecting the time when the earphone remains in a stationary state, and when the time when the earphone remains in a stationary state reaches the first time threshold, enabling the low-power noise reduction function.
3. The low-power noise reduction method according to claim 1, characterized in that, After the earphone enables the adaptive noise reduction function, detecting the time when the earphone has no voice output, and when the time when the earphone has no voice output reaches the second time threshold, enabling the low-power noise reduction function.
4. A low-power noise reduction device, which is used on headphones with adaptive noise reduction function. The headphones obtain the sound wave information of ambient noise in real time through a plurality of microphones, and generate sound waves opposite to the ambient noise through an adaptive noise reduction algorithm to neutralize the ambient noise. It is characterized in that, The device includes a low-power noise reduction module, a first detection module, a threshold setting module, an algorithm module, and a power supply module; After the low-power noise reduction module enables the low-power noise reduction function, The first detection module is used to detect the magnitude of the current ambient noise; The threshold setting module is used to set the threshold level of the microphone according to the magnitude of the current ambient noise detected by the detection module; The algorithm module is used to turn off the adaptive noise reduction algorithm; The power supply module is used to turn off the power supply of other microphones except those for voice wake-up; After the microphone for voice wake-up receives the voice wake-up information, the low-power noise reduction module turns off the low-power noise reduction function after the algorithm module enables the adaptive noise reduction algorithm, the power supply module turns on the power supply of all the microphones, and the threshold setting module removes the threshold level limit of the microphone.
5. The low-power noise reduction device according to claim 4, characterized in that, It also includes a second detection module; after the earphone enables the adaptive noise reduction function, the second detection module detects the time when the earphone remains in a stationary state, and when the time when the earphone remains in a stationary state reaches the first time threshold, enables the low-power noise reduction function through the low-power noise reduction module.
6. The low-power noise reduction device according to claim 4, characterized in that, It also includes a third detection module; after the earphone enables the adaptive noise reduction function, the third detection module detects the time when the earphone has no voice output, and when the time when the earphone has no voice output reaches the second time threshold, enables the low-power noise reduction function.
7. A readable storage medium, characterized in that, Stores a computer program, and when the computer program is executed by a processor, it implements the steps of the low-power noise reduction method according to any one of claims 1-3.
8. A pair of headphones, characterized in that, Includes the readable storage medium and the processor according to claim 7, and when the processor executes the computer program on the readable storage medium, it implements the steps of the low-power noise reduction method according to any one of claims 1-3.
Citation Information
Patent Citations
Earphone noise reduction method, intelligent Bluetooth earphone and computer readable storage medium
CN109788388A
Active anti-noise wireless communication device
CN202889439U