WO2023160286A1 - 降噪参数适配方法和装置 - Google Patents

降噪参数适配方法和装置 Download PDF

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Publication number
WO2023160286A1
WO2023160286A1 PCT/CN2023/071385 CN2023071385W WO2023160286A1 WO 2023160286 A1 WO2023160286 A1 WO 2023160286A1 CN 2023071385 W CN2023071385 W CN 2023071385W WO 2023160286 A1 WO2023160286 A1 WO 2023160286A1
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Prior art keywords
noise reduction
electronic device
sound signal
earphone
parameters
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PCT/CN2023/071385
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English (en)
French (fr)
Inventor
恽毅
郑占磊
韩欣宇
Original Assignee
荣耀终端有限公司
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Priority claimed from CN202210737291.7A external-priority patent/CN116709085A/zh
Application filed by 荣耀终端有限公司 filed Critical 荣耀终端有限公司
Publication of WO2023160286A1 publication Critical patent/WO2023160286A1/zh

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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04R—LOUDSPEAKERS, MICROPHONES, GRAMOPHONE PICK-UPS OR LIKE ACOUSTIC ELECTROMECHANICAL TRANSDUCERS; DEAF-AID SETS; PUBLIC ADDRESS SYSTEMS
    • H04R1/00—Details of transducers, loudspeakers or microphones
    • H04R1/10—Earpieces; Attachments therefor ; Earphones; Monophonic headphones

Definitions

  • the present application relates to the field of terminal technologies, and in particular to a noise reduction parameter adaptation method and device.
  • earphones include in-ear earphones, circumaural earphones, ear-hook earphones, neck-hung earphones, semi-in-ear earphones, and the like.
  • the earphones can be equipped with earplugs, so that the earphones can fit the human ear better, thereby better physically isolating the environmental noise.
  • ANC active noise cancellation
  • the noise-cancelling earphones cannot enable each user to achieve the expected noise-cancelling effect.
  • Embodiments of the present application provide a noise reduction parameter adaptation method and device, which relate to the field of terminal technology, so that the noise reduction parameters in the noise reduction headset can be adapted to the user's ear canal, thereby helping to enhance the noise reduction performance of the noise reduction headset. noise effect.
  • the embodiment of the present application provides a noise reduction parameter adaptation method, the method includes: the first electronic device acquires the environmental sound signal; multiple noise reduction amounts; among them, multiple groups of noise reduction parameters are noise reduction parameters respectively corresponding to multiple ear canal characteristics; the first electronic device determines the target noise reduction amount from the multiple noise reduction amounts; the second An electronic device uses a target noise reduction parameter corresponding to a target noise reduction amount to perform noise reduction processing.
  • the noise reduction parameters in the noise reduction headphones can be adapted to the user's ear canal, thereby helping to enhance the noise reduction effect of the noise reduction headphones.
  • the first electronic device may be an earphone.
  • the acquisition of the environmental sound signal by the first electronic device includes: the first electronic device receives first indication information from the second electronic device; the first indication information is used to instruct the first electronic device to Adapting the noise reduction parameters and detecting the fitting degree of the earplugs; in response to the first indication information, the first electronic device acquires an environmental sound signal.
  • the first electronic device can realize the adaptation of noise reduction parameters during the process of detecting the degree of fit, and improve the user's demand for the function of detecting the degree of fit.
  • the method further includes: the first electronic device performs a fitting degree detection on the earplug; the first electronic device acquires the environmental sound signal, including: when the first electronic device determines that the earplug fitting degree detection passes Next, the first electronic device acquires the ambient sound signal. In this way, the first electronic device can implement noise reduction parameter adaptation under the condition that the adhesion degree detection is passed.
  • the multiple sets of noise reduction parameters include: a first set of noise reduction parameters and a second set of noise reduction parameters, the ambient sound signal includes: the first ambient sound signal and the second ambient sound signal, and the multiple noise reduction parameters
  • the noise amount includes a first noise reduction amount and a second noise reduction amount;
  • the first electronic device determines the corresponding noise reduction amounts of the environmental sound signal under multiple sets of preset noise reduction parameters, and obtains multiple noise reduction amounts, including: An electronic device determines the noise reduction amount of the first ambient sound signal under the first set of noise reduction parameters to obtain the first noise reduction amount; the first electronic device determines the noise reduction amount of the second ambient sound signal under the second set of noise reduction parameters amount to obtain the second noise reduction amount.
  • the first electronic device since the first electronic device is in a non-playing state during the noise reduction parameter adaptation process, the first electronic device may pause for a few seconds during the noise reduction parameter adaptation process, so the entire The noise reduction process is divided into multiple parts, and a fit detection can be inserted between the multiple noise reduction parts to avoid a long pause in the noise reduction process and bring poor user experience to the user.
  • the first electronic device determines the noise reduction amount of the first ambient sound signal under the first set of noise reduction parameters, and after obtaining the first noise reduction amount, the method further includes: Carry out fit detection; the first electronic device determines the noise reduction amount of the second ambient sound signal under the second set of noise reduction parameters, and obtains the second noise reduction amount, including: determining that the earplug fit degree detection is passed by the first electronic device In the case of , the first electronic device determines the noise reduction amount of the second ambient sound signal under the second set of noise reduction parameters to obtain the second noise reduction amount. In this way, it is possible to avoid the long-time pause of the first electronic device when completing the whole noise reduction parameter adaptation. Noise parameter adaptation, thereby improving the user experience of using the fit detection function.
  • the first electronic device is an earphone, and the earphone includes a feed-forward microphone and a feed-back microphone, and the first electronic device detects the fitting degree of the earplug, including: the first electronic device plays preset audio; An electronic device uses a feed-forward microphone to collect a third sound signal corresponding to the preset audio, and uses a feed-back microphone to collect a fourth sound signal corresponding to the preset audio; the first electronic device uses the third sound signal to perform noise on the fourth sound signal Suppression processing to obtain the target sound signal; the first electronic device obtains the sound change amount based on the third sound signal and the target sound signal; the first electronic device detects the fit degree of the earplug based on the sound change amount; wherein, the earplug fit degree detection Passing, including: the volume of sound change is less than the preset threshold. In this way, the terminal device can improve the user's experience of using the first electronic device based on the degree of fit detection.
  • the earphone further includes: a loudspeaker, and the first electronic device determines the corresponding noise reduction amounts of the environmental sound signal under multiple sets of preset noise reduction parameters to obtain multiple noise reduction amounts, including: An electronic device, based on the first transfer function, the second transfer function, and/or the third transfer function, determines the corresponding noise reduction amounts of the environmental sound signal under multiple sets of preset noise reduction parameters, and obtains multiple noise reduction amounts; wherein , the first transfer function is used to indicate the sound transfer path from the feed-forward microphone to the feed-back microphone, the second transfer function is used to indicate the sound transfer path from the speaker to the feed-back microphone, and the third transfer function is used to indicate the sound transfer path from the The sound transmission path between the backfeed microphone and the periosteum reference point deep in the ear canal.
  • the first transfer function is used to indicate the sound transfer path from the feed-forward microphone to the feed-back microphone
  • the second transfer function is used to indicate the sound transfer path from the speaker to the feed-back microphone
  • the third transfer function is used
  • the first electronic device can more realistically simulate the characteristics of the user's ear canal according to the first transmission path, the second transmission path and/or the third transmission path, and then obtain a noise reduction amount that is more related to the characteristics of the user's ear canal , to increase the accuracy of the noise reduction adaptation method.
  • any set of noise reduction parameters includes: a noise reduction parameter used for noise reduction of the sound signal collected in the feed-forward microphone, and/or a noise reduction parameter used for noise reduction of the sound signal collected in the feed-back microphone The denoising parameter for the signal to be denoised.
  • the method further includes: the first electronic device sends second instruction information to the second electronic device; wherein , the second instruction information is used to instruct the second electronic device to display prompt information; the prompt information is used to prompt the first electronic device to complete the noise reduction parameter adaptation.
  • the second electronic device can display prompt information when the noise reduction parameter adaptation is completed, so as to enhance the user's experience of using the fitting degree detection function.
  • the target noise reduction amount is a noise reduction amount satisfying a preset bandwidth range, a preset low-frequency bounce range, and/or a preset high-frequency bounce range among the multiple noise reduction amounts.
  • the first electronic device can select the noise reduction parameter corresponding to the noise reduction amount with the best noise reduction effect from the plurality of noise reduction parameters.
  • the sound intensity of the ambient sound signal is greater than a first threshold, and the sound intensity of the ambient sound signal is smaller than a second threshold. In this way, the accuracy of the noise reduction adaptation method can be guaranteed by controlling the sound intensity of the ambient sound signal.
  • the embodiment of the present application provides a noise reduction parameter adaptation device
  • the noise reduction parameter adaptation device includes a processing module, the processing module is used to obtain the environmental sound signal; the processing module is used to determine the environmental sound signal in the preset Multiple sets of noise reduction parameters correspond to the corresponding noise reduction amounts, and multiple noise reduction values are obtained; wherein, multiple sets of noise reduction parameters are noise reduction parameters corresponding to multiple ear canal characteristics; the processing module is also used to obtain multiple noise reduction parameters
  • the target noise reduction amount is determined in the noise reduction amount; the processing module is further configured to use the target noise reduction parameters corresponding to the target noise reduction amount to perform noise reduction processing.
  • the communication module is configured to receive first instruction information from the second electronic device; the first instruction information is used to instruct to perform noise reduction parameter adaptation on the first electronic device and to attach the earplugs to the first electronic device.
  • Synergy detection in response to the first indication information, the first electronic device acquires an ambient sound signal.
  • the processing module is configured to perform fitting degree detection on the earplugs; when the first electronic device determines that the earplug fitting degree detection passes, the processing module is further configured to acquire an ambient sound signal.
  • the multiple sets of noise reduction parameters include: a first set of noise reduction parameters and a second set of noise reduction parameters, the ambient sound signal includes: the first ambient sound signal and the second ambient sound signal, and the multiple noise reduction parameters
  • the noise amount includes a first noise reduction amount and a second noise reduction amount;
  • the processing module is specifically used to determine the noise reduction amount of the first environmental sound signal under the first set of noise reduction parameters to obtain the first noise reduction amount;
  • the processing module It is also specifically used to determine the noise reduction amount of the second ambient sound signal under the second set of noise reduction parameters to obtain the second noise reduction amount.
  • the processing module is configured to perform a fitting degree detection on the earplug; when the first electronic device determines that the earplug fitting degree detection passes, the processing module is configured to determine that the second ambient sound signal is The noise reduction amount under the second set of noise reduction parameters to obtain the second noise reduction amount.
  • the first electronic device is an earphone
  • the earphone includes a feedforward microphone and a feedback microphone
  • a processing module configured to: play preset audio; use the feedforward microphone to collect a third sound corresponding to the preset audio signal, and the fourth sound signal corresponding to the preset audio collected by the feed-back microphone; the third sound signal is used to perform noise suppression processing on the fourth sound signal to obtain the target sound signal; based on the third sound signal and the target sound signal, the sound is obtained
  • Amount of change performing a fitting degree detection on the earplugs based on the amount of sound variation; where the earplug fitting degree detection is passed, including: the sound variation amount is less than a preset threshold.
  • the earphone further includes: a loudspeaker, and a processing module, specifically configured to, based on the first transfer function, the second transfer function, and/or the third transfer function, determine whether the environmental sound signal falls within a plurality of preset groups
  • the noise reduction amounts corresponding to the noise parameters respectively are used to obtain multiple noise reduction amounts; wherein, the first transfer function is used to indicate the sound transfer path from the feed-forward microphone to the feed-back microphone, and the second transfer function is used to indicate the sound transfer path from the speaker to the feed-back microphone.
  • the transfer path of the sound between the feed-back microphones, the third transfer function is used to indicate the transfer path of the sound from the feed-back microphone to the periosteum reference point deep in the ear canal.
  • any set of noise reduction parameters includes: a noise reduction parameter used for noise reduction of the sound signal collected in the feed-forward microphone, and/or a noise reduction parameter used for noise reduction of the sound signal collected in the feed-back microphone The denoising parameter for the signal to be denoised.
  • the communication module is further configured to send second indication information to the second electronic device; wherein, the second indication information is used to instruct the second electronic device to display prompt information; the prompt information is used to prompt the first The electronic device completes the noise reduction parameter adaptation.
  • the target noise reduction amount is a noise reduction amount satisfying a preset bandwidth range, a preset low-frequency bounce range, and/or a preset high-frequency bounce range among the multiple noise reduction amounts.
  • the sound intensity of the ambient sound signal is greater than a first threshold, and the sound intensity of the ambient sound signal is smaller than a second threshold.
  • an embodiment of the present application provides a computer-readable storage medium, in which a computer program or instruction is stored, and when the computer program or instruction is run on a computer, the computer executes the first aspect or the first aspect.
  • the embodiments of the present application provide a computer program product including a computer program.
  • the computer program When the computer program is run on a computer, the computer executes the reduction method described in the first aspect or any possible implementation manner of the first aspect. Noise parameter adaptation method.
  • the present application provides a chip or a chip system, the chip or chip system includes at least one processor and a communication interface, the communication interface and the at least one processor are interconnected through lines, and the at least one processor is used to run computer programs or instructions, To execute the noise reduction parameter adaptation method described in the first aspect or any possible implementation manner of the first aspect.
  • the communication interface in the chip may be an input/output interface, a pin or a circuit, and the like.
  • the chip or the chip system described above in the present application further includes at least one memory, and instructions are stored in the at least one memory.
  • the memory may be a storage unit inside the chip, such as a register, a cache, etc., or a storage unit of the chip (eg, a read-only memory, a random access memory, etc.).
  • an embodiment of the present application provides an electronic device, the electronic device includes a memory and a processor, the memory is used to store a computer program, and the processor is used to execute the computer program to perform any one of the above-mentioned first aspect or the first aspect
  • the noise reduction parameter adaptation method described in a possible implementation manner is described in a possible implementation manner.
  • FIG. 1 is a schematic diagram of a scene provided by an embodiment of the present application.
  • FIG. 2 is a schematic structural diagram of an earphone provided by an embodiment of the present application.
  • FIG. 3 is a schematic diagram of an interface of a degree of fit detection provided in an embodiment of the present application.
  • FIG. 4 is a schematic flow diagram of a fit detection and noise reduction parameter adaptation provided by an embodiment of the present application.
  • FIG. 5 is a schematic diagram of an ear canal provided in an embodiment of the present application.
  • Fig. 6 is a schematic interface diagram of another type of fit detection provided by the embodiment of the present application.
  • Fig. 7 is a schematic diagram of the results of another type of fit detection provided by the embodiment of the present application.
  • FIG. 8 is a schematic diagram of detection and adaptation of an earphone provided in an embodiment of the present application.
  • Fig. 9 is a schematic diagram of an auricle provided in an embodiment of the present application.
  • FIG. 10 is a schematic flow diagram of another type of fit detection and noise reduction parameter adaptation provided by the embodiment of the present application.
  • FIG. 11 is a schematic diagram of an acoustic transmission path provided by an embodiment of the present application.
  • FIG. 12 is a schematic diagram of the principle of an adaptive adjustment provided by the embodiment of the present application.
  • FIG. 13 is a schematic structural diagram of an earphone provided by an embodiment of the present application.
  • FIG. 14 is a schematic structural diagram of a chip provided by an embodiment of the present application.
  • words such as “first” and “second” are used to distinguish the same or similar items with basically the same function and effect.
  • the first chip and the second chip are only used to distinguish different chips, and their sequence is not limited.
  • words such as “first” and “second” do not limit the quantity and execution order, and words such as “first” and “second” do not necessarily limit the difference.
  • “at least one” means one or more, and “multiple” means two or more.
  • “And/or” describes the association relationship of associated objects, indicating that there may be three types of relationships, for example, A and/or B, which can mean: A exists alone, A and B exist at the same time, and B exists alone, where A, B can be singular or plural.
  • the character “/” generally indicates that the contextual objects are an “or” relationship.
  • “At least one of the following” or similar expressions refer to any combination of these items, including any combination of single or plural items.
  • At least one item (piece) of a, b, or c can represent: a, b, c, a-b, a--c, b-c, or a-b-c, where a, b, c can be single or is multiple.
  • FIG. 1 is a schematic diagram of a scenario provided by an embodiment of the present application.
  • the scenario may include an earphone 10 and an electronic device 20 establishing a communication connection with the earphone 10 .
  • the electronic device 20 is a mobile phone as an example for illustration, and this example does not constitute a limitation to the embodiment of the present application.
  • the earphone 10 may include a left-ear earphone 10-1 and a left-ear earphone 10-2, the left-ear earphone 10-1 is provided with an earplug 101-1, and the left-ear earphone 10-2 is provided with an earplug 101-2.
  • the earphone 10 when the user wears the earphone 10 (such as the earphone 10-1 and the earphone 10-2 in FIG. 1) and debugs the earphone 10, the earphone 10 is connected to the electronic device 20, and the electronic device 20 A user's trigger operation on the fit test control is received, and test instruction information is sent to the earphone 10 in response to the trigger operation.
  • the test instruction information is used to instruct the earphone 10 to perform a fit test.
  • the earphone 10 sends the test result to the electronic device 20, and the electronic device 20 can feed back the received test result to the user.
  • the fitting degree of at least one earphone in the earphone 10-1 or the earphone 10-2 does not reach the preset standard, the user is prompted to replace the earplug 101-1 and/or the earplug 101-2 of the earphone 10 until the earphone 101-2 is worn by the user.
  • the fitting degree of the earphone 10 reaches the preset standard.
  • the fitting degree of the earphone reaches the preset standard, the user can achieve physical isolation from environmental noise, thereby achieving a better noise reduction effect.
  • active noise reduction headphones obtained by combining active noise reduction technology with earplugs can bring better noise reduction effects, and thus are widely used.
  • the so-called active noise reduction is to collect the noise of the surrounding environment through the pickup microphone on the earphone, and then use the built-in chip to calculate in real time to generate anti-phase sound waves to offset the noise, so as to achieve the effect of sensory noise reduction.
  • an active noise reduction headset may include a feed-forward (FF) microphone, a feed-back (FB) microphone, and a filter component.
  • FF feed-forward
  • FB feed-back
  • the noise signal collected by the FF microphone of the headset is an environmental noise signal (or called an ambient sound signal)
  • the noise signal collected by the FB microphone of the headset is the noise signal isolated by the headset.
  • An active noise canceling headset may include a feed-forward (FF) microphone, a feed-back (FB) microphone, and a filter component.
  • the noise signal collected by the feedforward microphone of the earphone is the environmental noise signal (also called the environmental signal)
  • the noise signal collected by the feedback microphone of the earphone is the noise signal isolated by the earphone.
  • the active noise reduction earphones are designed, the energy difference between the environmental signal collected by the earphone feed-forward microphone and the noise signal collected by the feedback microphone after earphone isolation is measured, and the setting is fixed according to the measured energy difference. Noise reduction parameters for the filter component. In this way, in the case of fixed noise reduction parameters of the active noise reduction earphones, even if the fit is good, due to individual differences in the external auditory canals of different users, the noise reduction effect of the active noise reduction earphones may vary greatly.
  • an embodiment of the present application provides a method for adapting noise reduction parameters.
  • the first electronic device obtains the environmental sound signal; amount to obtain a plurality of noise reduction amounts; wherein, any set of noise reduction parameters in multiple sets of noise reduction parameters has ear canal characteristics corresponding to any set of noise reduction parameters; the first electronic device obtains multiple noise reduction amounts Determining the target noise reduction amount; so that the first electronic device can automatically select the noise reduction parameter that best matches the user's ear canal from the preset multiple groups of noise reduction parameters according to the acquired environmental sound signal. Further, the first An electronic device uses a target noise reduction parameter corresponding to a target noise reduction amount to perform noise reduction processing, thereby enhancing the noise reduction effect of the earphone.
  • the first electronic device may be the earphone described in the embodiment of this application.
  • FIG. 2 is a schematic structural diagram of an earphone provided by an embodiment of the present application.
  • the earphone 10 includes one or more processors 110 , one or more memories 120 , a communication interface 130 , an audio collection circuit and an audio playback circuit.
  • the audio acquisition circuit may further include at least one microphone 140 and an analog-to-digital converter (analog-to-digital converter, ADC) 150 .
  • the audio playback circuit may further include a speaker 160 and a digital-to-analog converter (DAC).
  • the earphone 10 may further include one or more sensors 180, such as a proximity sensor, a motion sensor, an inertial sensor, and the like.
  • the hardware components described above may communicate over one or more communication buses. They are described as follows:
  • the processor 110 is the control center of the earphone 10, and the processor may also be called a control unit, a controller, a microcontroller or some other suitable term.
  • the processor 110 uses various interfaces and lines to connect various components of the earphone 10, and in a possible embodiment, the processor 110 may further include one or more processing cores.
  • a main control unit and a signal processing module may be integrated in the processor 110 .
  • the main control unit (MCU) is used to receive the data collected by the sensor 180 or the monitoring signal from the signal processing module or the control signal from the terminal (such as mobile phone APP), and finally control the earphone 10 through comprehensive judgment and decision-making.
  • the main control unit is also used to write the filter coefficients to the position of the filter coefficients corresponding to the filter in the signal processing module, so as to realize the configuration of the filter.
  • the main control unit can also be used to determine the volume of the downlink audio signal according to the level index.
  • the processor 110 can be used to control the working timing of the various components of the earphone 10, configure the working parameters of the various components of the earphone 10, and analyze the data collected by at least one microphone or sensor through an algorithm so as to facilitate setting suitable for the user. Noise reduction parameters of the ear canal, etc.
  • the memory 120 may be coupled to the processor 110 or connected to the processor 110 through a bus, and is used for storing various software programs and/or multiple sets of instructions and data.
  • the memory 120 may include a high-speed random access memory, and may also include a non-volatile memory, such as one or more disk storage devices, an embedded multi media card (embedded multi media card, EMMC), a general flash storage (universal flash storage, UFS), read-only memory (read-only memory, ROM) or flash memory (flash), or other types of static memory that can store static information and instructions.
  • Memory 120 may also store one or more computer programs comprising program instructions for the methods described herein.
  • the memory 203 stores computer instructions for implementing the noise reduction parameter adaptation method.
  • the memory 120 can also store a communication program, which can be used to communicate with the terminal.
  • the memory 120 can also store data/program instructions, and the processor 110 can be used to call and execute the data/program instructions in the memory 120 .
  • multiple sets of noise reduction parameters may be stored in the memory 120 .
  • the memory 120 may be a memory outside the MCU, or may be a storage unit built in the MCU.
  • the communication interface 130 is used to communicate with the terminal, and the communication method may be wired or wireless.
  • the communication mode is wired communication
  • the communication interface 130 can be connected to the terminal through a cable.
  • the communication mode is wireless communication
  • the communication interface 130 is used to receive and send radio frequency signals, and the wireless communication mode supported by it may be, for example, Bluetooth (Bluetooth) communication, wireless-fidelity (wireless-fidelity, Wifi) communication, infrared communication, Or at least one of communication methods such as cellular 2/3/4/5 generation (2/3/4/5generation, 2G/3G/4G/5G) communication.
  • the communication interface 130 may include, but is not limited to: an antenna system, an RF transceiver, one or more amplifiers, a tuner, one or more oscillators, a digital signal processor, a CODEC chip, a SIM card and a storage medium, etc. . In some embodiments, communication interface 130 may be implemented on a separate chip.
  • the communication interface 130 may be used to instruct the fitting degree detection of the earphone 10 .
  • the user sends a trigger instruction to the headset 10 through an application program (APP) on the electronic device, and transmits the trigger instruction to the communication interface 130 through a wireless link.
  • APP application program
  • the wireless link may be a Bluetooth link.
  • the trigger instruction is used for the main control unit to detect the degree of fit and set the noise reduction parameters, and/or, the playback volume of the downlink audio signal.
  • the electronic device may also be called a terminal (terminal), user equipment (user equipment, UE), mobile station (mobile station, MS), mobile terminal (mobile terminal, MT) and so on.
  • Electronic devices can be mobile phones with communication functions, smart TVs, wearable devices, tablet computers (Pad), computers with wireless transceiver functions, virtual reality (virtual reality, VR) equipment, augmented reality (augmented reality, AR) equipment, equipment in industrial control, equipment in self-driving, equipment in remote medical surgery, equipment in smart grid, transportation safety ( Equipment in transportation safety, equipment in smart city, equipment in smart home, etc.
  • the embodiments of the present application do not limit the specific technology and specific device form adopted by the electronic device.
  • the at least one microphone 140 may include: an FF microphone, an FB microphone, a main microphone, and the like.
  • Microphone 140 can be used for collecting sound signal (or claims audio signal, and this audio signal is analog signal), analog-to-digital converter 150 is used for converting the analog signal that microphone 140 collects into digital signal, and this digital signal is sent to processor 110 for processing, in a specific embodiment, it may be sent to a signal processing module for processing.
  • the signal processing module can transmit the processed signal (such as a mixed audio signal) to the digital-to-analog converter 170, and the digital-to-analog converter 170 can convert the received signal into an analog signal, and then transmit it to the speaker 160. This analog signal is played so that the user can hear the sound.
  • the FF microphone is usually set on the side of the earphone 10 away from the ear canal (ie, the outer side of the earphone) for collecting sound signals or noises in the external environment.
  • the FB microphone is usually set on the side of the earphone 10 close to the ear canal (ie, the inner side of the earphone) and is closer to the speaker, and is used to collect sound signals in the user's ear canal.
  • the FB microphone can collect, for example, the sound signal transmitted by bone conduction when the user speaks, part of the noise introduced from the outside, or it can collect the noise caused by the vibration of the earphone, the vibration of the earphone cable, the rotation of the head, or the movement of wearing the earphone.
  • the noise in the ear canal is caused.
  • the earphone provided in the embodiment of the present application may include a left-ear earphone and a right-ear earphone, and the left-ear earphone includes an FF microphone and an FB microphone; the right ear earphone may also include an FF microphone and an FB microphone.
  • earphone 10 is only an example provided by the embodiment of the present application.
  • earphone 10 may have more or fewer components than shown, may combine two or more components, or may be implemented with a different configuration of components. It should be noted that, in an optional situation, the above-mentioned components of the earphone 10 may also be coupled together.
  • the term "coupling” refers to interconnection in a specific way, including direct connection or indirect connection through other devices, for example, connection through various interfaces, transmission lines or buses, etc. These interfaces are usually It is an electrical communication interface, but it does not rule out that it may be a mechanical interface or another form of interface, which is not limited in this embodiment of the present application.
  • earphone 10 may also be referred to as an earphone, a headset, a walkman, an audio player, a media player, a headset, an earpiece device or some other suitable term.
  • earphone a headset
  • walkman an audio player
  • media player a media player
  • headset a headset
  • earpiece device or some other suitable term.
  • the embodiments of the present application do not limit this.
  • the noise reduction parameter adaptation method described in the embodiment of the present application may involve the earphone and the electronic device, and the earphone and the electronic device may establish a connection.
  • the headset and the electronic device can establish a communication connection through wired communication; or, the headset and the electronic device can also establish a communication connection through wireless communication, for example, the headset and the electronic device can connect to the same cloud account via Bluetooth, WIFI, or
  • the communication connection is established in a wireless manner, and the method of establishing the communication connection between the earphone and the electronic device is not limited in the embodiment of the present application.
  • an electronic device is taken as an example for illustration, and this example does not constitute a limitation to the embodiment of the present application.
  • the mobile phone may be provided with a preset application for controlling the earphone, so that the user can realize functions such as the fitting degree detection of the earphone based on the preset application.
  • the preset application may be a third-party application, or may also be an application in the mobile phone system, which is not limited in this embodiment of the present application.
  • FIG. 3 is a schematic diagram of an interface of a fitting degree detection provided in an embodiment of the present application.
  • the mobile phone can perform fit detection based on the preset application. For example, when the mobile phone receives an operation from the user to enable the fit detection function in the application, the mobile phone can display the The interface shown in a, which may include: text information for indicating the degree of fit detection, prompt information for indicating the start of detection, an image of the earphone, and left and right ear marks (wherein, L may correspond to the left ear earphone, R may correspond to the right earphone), the control on the upper left corner for exiting fit detection, and the start control 301, etc.
  • the text information used to indicate the degree of fit detection can be displayed as: earplug fit degree detection;
  • the prompt information used to indicate the start of the detection can be: please wear the two earphones and press the "start” button;
  • the start control 301 is used to start the adaptation of the noise reduction parameters and the fit detection of the earplugs.
  • the mobile phone when the mobile phone receives the user’s trigger operation for the start control 301, the mobile phone can display the interface shown in b in FIG. 3, and send instruction information to the earphone, so that The earphones can perform fit detection and noise reduction parameter adaptation according to the instruction information.
  • the triggering operation may include: a click operation, a long press operation, or a slide operation, etc., which is not limited in this embodiment of the present application.
  • the interface may include: text information for instructing not to take off the earphones, text information for indicating that the fitting degree detection is being performed, and a detection control.
  • the text information used to indicate that the fit detection is being performed can be displayed as: fit detection and noise reduction parameter adaptation are in progress; the detection control can be gray, which can be understood as the detection control is not triggerable state.
  • the user can use the mobile phone to flexibly control the earphones according to their own needs when they need to test the fit of the earphones, and then ensure that the earphones have a better noise reduction effect when the fit test is qualified;
  • noise reduction parameter adaptation is implemented during the process of fitting degree detection.
  • the earphone can perform fit detection and noise reduction parameter adaptation according to the prompt information sent by the mobile phone process.
  • the earphone can adopt two noise reduction parameter adaptation methods. For example, in method 1, the earphone can perform noise reduction parameter adaptation based on the preset noise reduction parameters related to the characteristics of the ear canal (refer to the corresponding embodiment); method 2, the earphone can match the noise reduction parameters related to the characteristics of the ear canal in real time based on the analysis of the characteristics of the ear canal (see the corresponding embodiment in FIG. 10 ).
  • the earphone can adapt the noise reduction parameters based on the preset noise reduction parameters related to the characteristics of the ear canal.
  • FIG. 4 is a schematic flow chart of fitting degree detection and noise reduction parameter adaptation provided by an embodiment of the present application.
  • the fit detection and noise reduction parameter adaptation may include the following steps:
  • the earphone acquires indication information.
  • the instruction information is used to instruct the earphone to perform preset fit detection and noise reduction parameter adaptation steps.
  • the earphone receives instruction information sent from the mobile phone.
  • the headset and the mobile phone can be connected through Bluetooth communication, or the headset and the mobile phone can also be connected through a physical line. This embodiment of the present application does not limit it.
  • the user selects a type of earplug for the earphone in a daily environment, puts on the earphone, and after establishing a connection between the earphone and the mobile phone, performs operations on the interface of the mobile phone as shown in a in FIG. 3 .
  • the mobile phone receives a trigger operation on the start control 301 in the interface shown in a in FIG. 3 , and in response to the trigger operation, the mobile phone sends instruction information to the earphone connected to the mobile phone.
  • the headset receives instructions from the phone.
  • the mobile phone may also display an interface as shown in b in FIG. 3 .
  • the daily environment is an environment in which the sound intensity is greater than the first threshold and less than the second threshold.
  • the reason why the sound intensity is greater than the first threshold is to avoid the user's environment being too quiet during the noise reduction parameter adaptation process, and the sound intensity is less than the second threshold value to avoid the user's environment being too noisy during the noise reduction parameter adaptation process.
  • S402. Collect N first noise reduction amounts corresponding to preset N groups of noise reduction parameters during a first preset time period when the earphone receives the indication information and is in a non-playing state.
  • the N first noise reduction amounts may include: L 1 (f)-L N (f), where N is an integer greater than 1.
  • the non-playing state may be the state in which the earphone is not playing any sound; the first preset time period may be 1 second to 3 seconds or other time periods.
  • M groups of noise reduction parameters may be set in the earphone, and the M groups of noise reduction parameters may be pre-set according to different characteristics of the ear canal.
  • the mobile phone can perform cluster analysis on the measured ear canal data of a large number of users wearing earphones, and simplify the measured ear canals into M groups of ear canal characteristics; for any group of ear canal characteristics in the M groups of ear canal characteristics, The electronic device can match different noise reduction parameters, and obtain the noise reduction parameter with the best noise reduction effect as the noise reduction parameter suitable for any set of ear canal characteristics, and then obtain M groups of noise reduction parameters corresponding to M groups of ear canal characteristics respectively. parameter. This enables users with different ear canal characteristics to obtain a good noise reduction effect based on the noise reduction parameters related to the ear canal characteristics when wearing headphones normally.
  • FIG. 5 is a schematic diagram of an ear canal provided in an embodiment of the present application.
  • the length of the ear canal, the width of the ear canal, and the shape of the ear canal are quite different among different users.
  • the length of the ear canal 501 in Fig. 5 is about 28 millimeters (mm)
  • the width is about 48 mm
  • the shape of the ear canal 501 is "hook" type
  • the shape of the ear canal 502 is relatively uniform.
  • the noise reduction parameters corresponding to the characteristics of the ear canal can be used to calculate the amount of noise reduction when the current user wears headphones, and then filter out Target noise reduction parameters adapted to the user's ear canal to improve the noise reduction effect.
  • any set of noise reduction parameters may include: FF noise reduction parameters (or called feed-forward filter coefficients) for noise reduction of the first sound signal collected by the FF microphone; or, the Any set of noise reduction parameters may also include: FF noise reduction parameters for noise reduction of the first sound signal collected by the FF microphone, and FB for noise reduction of the second sound signal collected by the FB microphone Noise reduction parameters (or called feedback filter coefficients). It can be understood that, since the noise reduction effect of the FB microphone is relatively stable during the actual earphone noise reduction process, the noise reduction parameters may only include FF noise reduction parameters.
  • any set of noise reduction parameters including: FF noise reduction parameters and FB noise reduction parameters
  • the process of performing noise reduction parameter adaptation using any set of noise reduction parameters in N groups of noise reduction parameters Be explained.
  • the earphone can use the FF microphone and the FB microphone to obtain sound signals respectively, and use the FF noise reduction parameters in any set of noise reduction parameters to analyze the first sound collected by the FF microphone.
  • the signal is subjected to noise reduction processing to obtain the FF noise reduction amount; use the FB noise reduction parameters in any set of noise reduction parameters to perform noise reduction processing on the second sound signal collected by the FB microphone to obtain the FB noise reduction amount, and then by The difference between the FF noise reduction amount and the FB noise reduction amount obtains the first noise reduction amount corresponding to any set of noise reduction parameters.
  • the earphone obtains the noise reduction amount L 1 (f)-L N (f) corresponding to the Nth group of noise reduction parameters.
  • the earphone may execute the noise reduction processing steps described in the embodiment of the present application based on a preset ANC filter and the like.
  • the earphone can also use the first sound signal acquired based on the FF microphone to perform environment recognition, so as to ensure that the earphone can perform earplugs in an environment where the first sound signal is greater than the first threshold and the first sound signal is less than the second threshold. fit testing. Wherein, the second threshold is greater than the first threshold.
  • FIG. 6 is a schematic interface diagram of another type of fitting degree detection provided by the embodiment of the present application.
  • the headset can determine that it is currently in a relatively noisy environment, and the headset can display an interface as shown in a in Figure 6, which can include: prompt information 601 for indicating that the sound intensity in the environment is relatively high, and end controls.
  • prompt information 601 for indicating that the sound intensity in the environment is relatively high, and end controls.
  • the prompt message 601 may be displayed as: it is detected that the current ambient sound is loud, please move to an environment with normal sound intensity.
  • the earphone when the earphone detects that the sound intensity of the first sound signal is less than the first threshold, the earphone can determine that it is currently in a relatively quiet environment, and the earphone can switch from the interface shown in a in FIG. 6 to the one shown in FIG. 6
  • the interface may include: prompt information 602 for indicating that the sound intensity in the environment is low.
  • the prompt message 602 may be displayed as: it is detected that the current ambient sound is low, please move to an environment with normal sound intensity.
  • the interface shown in a in FIG. 6 and other content displayed in the interface shown in b in FIG. 6 are similar to the interface shown in b in FIG. 3 , and will not be repeated here.
  • the earplugs are used to detect the fitting degree of the earplugs using the preset audio, and a fitting degree detection result is obtained.
  • the preset audio may be set in a preset application of the mobile phone connected to the earphone; the second preset time period may be a time period corresponding to the preset audio.
  • the earphone performs the fitting degree detection through the following steps:
  • Step 1 During the process of playing the preset audio, the earphone uses the FF microphone and the FB microphone to collect sound signals respectively, and obtains the third sound signal corresponding to the FF microphone and the fourth sound signal corresponding to the FB microphone.
  • Step 2 The earphone uses the third sound signal and the fourth sound signal to detect the fit degree, and obtain the fit degree detection result.
  • the earphone collects the third sound signal collected based on the FF microphone of the earphone, and when the signal-to-noise ratio of the third sound signal is smaller than the signal-to-noise ratio threshold, the third sound signal collected by the FF microphone is combined with the FB
  • the fourth sound signal collected by the microphone is subjected to noise suppression processing, and the sound signal (or called the target sound signal) for playing the preset audio is obtained; further, based on the third sound signal and the change of the sound signal for playing the preset audio amount to obtain the leakage of the earphone; when the leakage is less than the preset leakage threshold, it is determined that the fit of the earphone is good, or when the leakage is greater than or equal to the leakage threshold, it is determined that the fit of the earphone is not enough.
  • performing noise suppression processing on the fourth sound signal collected by the FB microphone in combination with the third sound signal collected by the FF microphone may be an active noise reduction method based on the third sound signal, or may be other methods. In the embodiment of the present application There is no limit to this.
  • the key frequency in the third sound signal may also be collected, and the variation of the signal on the key frequency may be used to detect the fitting degree of the earphone.
  • the earphone collects the third sound signal collected by the FF microphone based on the earphone, and obtains the first response amplitude of the third sound signal on the key frequency, and the signal-to-noise ratio at the first response amplitude is less than the signal-to-noise ratio threshold
  • noise suppression processing is performed on the fourth sound signal collected by the FB microphone in combination with the third sound signal collected by the FF microphone to obtain the sound signal for playing the preset audio, and obtain the sound signal for playing the preset audio at the key frequency
  • the second response amplitude further, based on the first response amplitude and the variation of the second response amplitude, the leakage of the earphone is obtained; when the leakage is less than the preset leakage threshold, it is determined that the fit of the earphone is good , or when the leakage amount
  • the earphone can also detect the amount of noise leakage based on the algorithm, and adjust or compensate the noise reduction parameters according to the amount of leakage, so that the earphone can improve the noise leakage without the user needing to adjust the earplugs , so as to obtain a better noise reduction effect.
  • the earphone will send a prompt message to the mobile phone to remind the user to change the earplug model of the earphone, or adjust the wearing of the earphone After the position is re-tested for fit. If the fitting degree detection results of the earphones on both sides indicate that the fitting degree is good, the earphones will continue to run the procedure of automatically adapting the noise reduction parameters based on the ear canal type in the step shown in S406.
  • the earphone sends prompt information to the mobile phone, and the prompt information is used to prompt the user to replace the earplug of the earphone.
  • FIG. 7 is a schematic diagram of another fitting degree detection result provided by the embodiment of the present application.
  • the mobile phone may display an interface as shown in a in Figure 7, the The interface may include: text information for indicating the fitting degree of each earphone, prompt information 701 for indicating the fitting degree detection result, a control for retesting, a control for completing the test, and the like.
  • the prompt message 701 may be displayed as: the test result of the fit degree of the earphones, the size of the earplugs you are currently wearing is not suitable, please replace them; the text information used to indicate the fit degree of each earphone may be: fit degree not enough.
  • the mobile phone can send instruction information to the earphone again, and instruct the earphone to perform the operation shown in S403. step, and then obtain the detection result of the adhesion degree detection again.
  • the second noise reduction amount may include: L N+1 (f) ⁇ L M (f).
  • the earphone for a period of time after the earphone detects that the fit is good, the earphone remains in the non-playing state and continues to acquire the remaining noise reduction parameters in the M groups of noise reduction parameters, such as the N+1th group of noise reduction parameters-the Mth The noise reduction amounts corresponding to the groups of noise reduction parameters are obtained to obtain the second noise reduction amount.
  • first group-Nth group of noise reduction parameters in the M groups of noise reduction parameters in the earphone can be used to obtain the first noise reduction amount in the step shown in S402;
  • the N+1th group-Mth group of noise reduction parameters can be used to obtain the second noise reduction amount in the step shown in S406.
  • M can be greater than 2N, so that when the user performs the fit detection in the interface shown in b in FIG. 3 , the user can use A small part of the noise reduction parameters in the M groups of noise reduction parameters are used to calculate the amount of noise reduction, and use the M groups of noise reduction parameters during the third preset time period in the non-playing state after the fit test is passed. The remaining noise reduction parameters in the parameters continue to calculate the amount of noise reduction.
  • the noise reduction parameters are used to calculate the noise reduction amount in sections.
  • the earphone may also perform noise reduction parameter adaptation in the following manner.
  • the headset when the headset receives the indication information sent by the mobile phone in S401, the headset can collect M noise reduction amounts corresponding to the preset M groups of noise reduction parameters during a period of time in the non-playing state, and then use the The M noise reduction amounts are subjected to noise reduction parameter adaptation, and after the noise reduction parameter adaptation is completed, the step shown in S403 is executed to detect the degree of fit.
  • the earphone when the earphone receives the indication information sent by the mobile phone in S401, the earphone executes the steps shown in S403 to detect the degree of fit, and after the degree of fit detection passes, the earphone is in the non-playing state for a period of time M noise reduction amounts corresponding to the preset M groups of noise reduction parameters are collected in the segment, and then the M noise reduction amounts are used to adapt the noise reduction parameters.
  • S407. Determine target noise reduction parameters according to the acquired N first noise reduction amounts and noise reduction parameters corresponding to each first noise reduction amount, and M-N second noise reduction amounts and noise reduction parameters corresponding to each second noise reduction amount .
  • the method for determining the target noise reduction parameters may be: the earphone is based on at least one of the noise reduction bandwidth situation, the low frequency bounce situation, and the high frequency bounce situation, Determine the target denoising parameters.
  • the earphones can respectively calculate the bandwidth, low-frequency bounce value, and high-frequency bounce value corresponding to the M groups of noise reduction amounts, and then select from the M groups of noise reduction amounts that the bandwidth satisfies the bandwidth range, and the low-frequency bounce value satisfies the low-frequency
  • the bounce unit and/or the high-frequency bounce value meet the target noise reduction amount in the high-frequency bounce range, and then the target noise reduction parameters corresponding to the target noise reduction amount are obtained.
  • the values of the bandwidth range, the low-frequency bounce range, and the high-frequency bounce range may be different, which are not limited in this embodiment of the present application.
  • M groups of noise reduction parameters and weights corresponding to the M groups of noise reduction parameters may also be set in the earphone.
  • the earphone can further use the Q group noise reduction
  • the weights corresponding to the quantities are weighted to the Q group of noise reduction parameters, and then the target noise reduction parameters are obtained. where Q is less than or equal to M.
  • the earphone sends a detection and adaptation result to the mobile phone.
  • the detection and adaptation results are used to indicate that the fit of the earphones is good, and the adaptation of the noise reduction parameters has been completed.
  • the earphone will use the target noise reduction parameter to perform noise reduction processing, so as to avoid repeated matching of noise reduction parameters. In this way, most users can achieve an above-average noise reduction effect even without noise reduction parameter adaptation after wearing it normally.
  • the earphone will recalculate the target noise reduction parameters.
  • the earphone may determine that the noise reduction parameter matching process is completed, and send indication information to the mobile phone indicating that the noise reduction parameter matching is completed;
  • the indication information used to indicate the completion of the matching of the noise reduction parameters the mobile phone may display an interface as shown in b in FIG. 7 .
  • the prompt information 702 for indicating the fit test result in this interface can be displayed as: the headphone fit test result, the size of the earplugs you are currently wearing is detected to be suitable, and it has been provided for you Configure personalized noise reduction parameters; the text information used to indicate the degree of fit of each earphone can be: the degree of fit is good, other content displayed in this interface can be similar to the interface shown in a in Figure 7, in This will not be repeated here.
  • FIG. 8 is a schematic diagram of detection and adaptation of an earphone provided in an embodiment of the present application.
  • the earphones respectively collect the frequency-domain noise reduction of the earphones under the first set of preset ANC filter coefficients to the frequency-domain noise reduction of the earphones under the Nth set of preset ANC filter coefficients, and then measure the fit of the earplugs Detection, in the case of good earplug fit detection, collect the frequency domain noise reduction amount of the earphones under the N+1 preset ANC filter coefficients to the frequency domain of the earphones under the M preset ANC filter coefficients Amount of noise reduction. Then, the earphone selects the optimal noise reduction amount from the obtained multiple frequency domain noise reduction amounts, and uses the filter coefficient corresponding to the optimal noise reduction amount as the matched target noise reduction parameter.
  • the headset can also detect the amount of noise leakage based on the algorithm, and adjust or compensate the noise reduction parameters accordingly according to the amount of leakage. Thus, a better noise reduction effect can be obtained.
  • the user when the user detects that the earplugs fit well, the user automatically polls multiple sets of noise reduction parameters to complete the adaptation of the noise reduction parameters, so that the adapted noise reduction parameters are more in line with the characteristics of the user's ear canal , which helps to enhance the noise reduction effect. In this way, the user does not need to run a program specially used for parameter adaptation, thereby improving the user's experience in using the earphone.
  • the earphones can automatically match the noise reduction parameters adapted to the user's ear canal characteristics according to the sound signals collected by the earphones during the fit detection process, thereby enhancing the noise reduction of the active noise reduction earphones Effect.
  • FIG. 9 is a schematic diagram of an auricle provided in an embodiment of the present application.
  • FIG. 9 there is a large difference in the size of the auricle 901 and the auricle 902, and as an important part of receiving external sound signals, different auricles will also have a greater impact on the reception of sound signals, and then have a great impact on the implementation of this application. Influences the noise reduction effect in the example.
  • the earphone can also be set with: the correspondence between the characteristics of the auricle, the characteristics of the ear canal, and the noise reduction parameters.
  • the electronic device can also collect images of the user's ears, and extract the user's auricle features, and based on the pinna features and the preset ear canal features, the target noise reduction parameters are further determined.
  • the earphones are matched with appropriate target noise reduction parameters for users with different ear canal characteristics and auricles, so that the earphones can bring better noise reduction effects to different users.
  • Method 2 The earphone can match the noise reduction parameters related to the characteristics of the ear canal in real time based on the analysis of the characteristics of the ear canal.
  • FIG. 10 is a schematic flow chart of another fitting degree detection and noise reduction parameter adaptation provided by the embodiment of the present application.
  • the fit detection and noise reduction parameter adaptation may include the following steps:
  • the earphone acquires indication information.
  • the first acoustic transfer path indicates the acoustic path between the FF microphone and the FB microphone, or is understood as the acoustic transfer path from noise to the human ear; the first acoustic transfer path may also be referred to as: Primary acoustic path, or first transfer function, etc.
  • FIG. 11 is a schematic diagram of an acoustic transmission path provided by an embodiment of the present application.
  • any earphone may include an FF microphone, a loudspeaker, and an FB microphone, and the earphone may transmit sound to the eardrum.
  • X AC (t) may be an ambient sound signal
  • the first acoustic transmission path may be PA (s).
  • the earphone may determine the first acoustic transmission path based on a preset neural network model or other methods, which is not limited in this embodiment of the present application.
  • the second preset time period when the earphone is in the playing state use the preset audio to detect the fitting degree of the earplugs, and obtain the fitting degree detection result; and use the downlink sound signal output by the speaker and the first sound collected by the FB microphone
  • the second acoustic transmission path is obtained from the four sound signals
  • the third acoustic transmission path is obtained by using the third sound signal collected by the FF microphone, the fourth sound signal collected by the FB microphone, and the downlink sound signal output by the speaker.
  • the method for detecting the degree of fit can refer to the description in the step shown in S403, which will not be repeated here.
  • the second acoustic transmission path indicates the acoustic path between the speaker and the FB microphone, or is understood as the acoustic path from the sound emitted by the speaker to the human ear
  • the second acoustic transmission path can also be called: secondary Level acoustic path, or the second transfer function, etc.
  • the third acoustic transfer path is due to the acoustic path between the FB microphone and the deep eardrum reference point (ear-drum reference point, DRP) in the ear canal, the third acoustic transfer path It can also be called: the third transfer function.
  • the second acoustic transfer path may be G A (s); the third acoustic transfer path may be E A (s).
  • the earphone can determine the second acoustic transmission path based on a preset neural network model or other methods.
  • the earphone may determine the third acoustic transmission path based on a preset earphone-ear canal acoustic model, etc., which is not limited in this embodiment of the present application. It can be understood that the methods for obtaining the first acoustic transmission path, the second acoustic transmission path and the third acoustic transmission path are all different.
  • the earphones will execute the step shown in S1004 and continue to obtain the noise reduction parameters of the earphones.
  • the earphones use the first acoustic transmission path, the second acoustic transmission path, and/or the third acoustic transmission path to calculate the target drop Noise parameter.
  • multiple sets of noise reduction parameters can also be set in the earphone, so that the earphone can use the first acoustic transmission path, the second acoustic transmission path, and/or the third acoustic transmission path and the multiple sets of noise reduction parameters, Calculating noise reduction amounts corresponding to the multiple groups of noise reduction parameters, and determining an optimal target noise reduction parameter based on the multiple noise reduction amounts.
  • the earphone can input the first acoustic transmission path, the second acoustic transmission path, and/or the third acoustic transmission path, the first sound signal collected by the FF microphone, and the second sound signal collected by the FB microphone to the preset
  • calculate the amount of noise reduction corresponding to different noise reduction parameters calculate the amount of noise reduction corresponding to different noise reduction parameters, and output the corresponding noise reduction parameters when the noise reduction effect is the best, and obtain the target noise reduction parameters.
  • the multiple groups of noise reduction parameters may be noise reduction parameters that are not related to (or related to) the characteristics of the ear canal.
  • the earphones can calculate the target noise reduction parameters most relevant to the characteristics of the ear canal in the current scene based on multiple acoustic transmission paths calculated in real time.
  • a set of noise reduction parameters can be set in the earphone, so that the earphone can use the first acoustic transmission path, the second acoustic transmission path, and/or the third acoustic transmission path to obtain the noise reduction amount, and based on the noise reduction
  • the amount of noise is adaptively adjusted to the set of noise reduction parameters, so that the earphones can obtain target noise reduction parameters with better noise reduction effects.
  • FIG. 12 is a schematic diagram of a principle of adaptive adjustment provided by the embodiment of the present application.
  • x can be the ambient sound
  • x' can be the signal value estimated by G' A (s)
  • W FF can be a feed-forward controller (including a set of noise reduction parameters)
  • e can be The difference between the signal obtained by x after P A (s) and the signal obtained by x after W FF noise reduction and G A (s).
  • the earphone can use x', e, and E A (s) to adaptively adjust the noise reduction parameters in the feedforward controller, so that the earphone can output the target noise reduction parameters with the best noise reduction effect.
  • the earphone sends a detection and adaptation result to the mobile phone.
  • the detection and adaptation results are used to indicate that the fit of the earphones is good, and the adaptation of the noise reduction parameters has been completed.
  • the headset can calculate the acoustic transmission path in real time through the acquired voice signal, and estimate the target noise reduction parameters based on the acoustic transmission path, and then obtain a better noise reduction effect based on the target noise reduction parameters.
  • the noise reduction parameter adaptation method described in the embodiment of this application can not only be implemented in headphones; or the noise reduction parameter adaptation method described in the embodiment of this application can also be Implemented in an electronic device connected to the earphone, that is, the earphone can send the sound signals acquired in different time periods to the electronic device, so that the electronic device performs the noise reduction parameter adaptation described in the embodiment of the present application based on the sound signal sent by the earphone method, and then send the adapted target noise reduction parameters to the earphone.
  • the embodiment of the present application can divide the functional modules of the electronic device implementing the noise reduction parameter adaptation method according to the above method example, for example, each functional module can be divided corresponding to each function, or two or more functions can be integrated into one processing module.
  • the above-mentioned integrated modules can be implemented in the form of hardware or in the form of software function modules. It should be noted that the division of modules in the embodiment of the present application is schematic, and is only a logical function division, and there may be other division methods in actual implementation.
  • FIG. 13 it is a schematic structural diagram of an earphone provided by the embodiment of the present application.
  • the earphone 1300 shown in FIG. 13 includes a processing module 1301; the processing module 1301 is used to acquire environmental sound signals; The corresponding noise reduction amounts of the sound signal under the preset multiple sets of noise reduction parameters are respectively obtained to obtain multiple noise reduction amounts; wherein, the multiple sets of noise reduction parameters are noise reduction parameters corresponding to multiple ear canal characteristics respectively; the processing module 1301, It is also used to determine the target noise reduction amount from multiple noise reduction amounts; the processing module 1301 is further configured to use the target noise reduction parameter corresponding to the target noise reduction amount to perform noise reduction processing.
  • the earphone 1300 further includes a communication module 1302, and the communication module 1302 is configured to establish a communication connection with the electronic device, so as to realize the steps of sending and receiving data.
  • the communication module 1302 may be an interface or an interface circuit.
  • FIG. 14 is a schematic structural diagram of a chip provided by an embodiment of the present application.
  • the chip 1400 includes one or more than two (including two) processors 1401 , communication lines 1402 and communication interfaces 1403 , and optionally, the chip 1400 also includes a memory 1404 .
  • the memory 1404 stores the following elements: executable modules or data structures, or subsets thereof, or extensions thereof.
  • the methods described in the foregoing embodiments of the present application may be applied to the processor 1401 or implemented by the processor 1401 .
  • the processor 1401 may be an integrated circuit chip with signal processing capabilities.
  • each step of the above method may be implemented by an integrated logic circuit of hardware in the processor 1401 or instructions in the form of software.
  • the above-mentioned processor 1401 may be a general-purpose processor (for example, a microprocessor or a conventional processor), a digital signal processor (digital signal processing, DSP), an application specific integrated circuit (application specific integrated circuit, ASIC), an off-the-shelf programmable gate Array (field-programmable gate array, FPGA) or other programmable logic devices, discrete gates, transistor logic devices or discrete hardware components, the processor 1401 can implement or execute the methods, steps and logic block diagrams disclosed in the embodiments of the present application .
  • DSP digital signal processing
  • ASIC application specific integrated circuit
  • FPGA field-programmable gate array
  • the steps of the method disclosed in connection with the embodiments of the present application may be directly implemented by a hardware decoding processor, or implemented by a combination of hardware and software modules in the decoding processor.
  • the software module may be located in a mature storage medium in the field such as random access memory, read-only memory, programmable read-only memory, or electrically erasable programmable read only memory (EEPROM).
  • the storage medium is located in the memory 1404, and the processor 1401 reads the information in the memory 1404, and completes the steps of the above method in combination with its hardware.
  • the processor 1401 , the memory 1404 and the communication interface 1403 may communicate through the communication line 1402 .
  • the instructions stored in the memory for execution by the processor may be implemented in the form of computer program products.
  • the computer program product may be written in the memory in advance, or may be downloaded and installed in the memory in the form of software.
  • the embodiment of the present application also provides a computer program product including one or more computer instructions.
  • the computer can be a general purpose computer, special purpose computer, computer network, or other programmable device.
  • Computer instructions may be stored in or transmitted from one computer-readable storage medium to another computer-readable storage medium, e.g. Coaxial cable, optical fiber, digital subscriber line (digital subscriber line, DSL) or wireless (such as infrared, wireless, microwave, etc.) transmission to another website site, computer, server or data center.
  • Computer readable storage medium can be Any available media capable of being stored by a computer or a data storage device such as a server, data center, etc. integrated with one or more available media.
  • available media may include magnetic media (e.g., floppy disks, hard disks, or tapes), optical media (e.g., A digital versatile disc (digital versatile disc, DVD)), or a semiconductor medium (for example, a solid state disk (solid state disk, SSD)), etc.
  • An embodiment of the present application provides an electronic device, and the electronic device can execute any one of the foregoing noise reduction parameter adaptation methods.
  • Computer-readable media may include computer storage media and communication media, and may include any medium that can transfer a computer program from one place to another.
  • a storage media may be any target media that can be accessed by a computer.
  • the computer-readable medium may include compact disc read-only memory (compact disc read-only memory, CD-ROM), RAM, ROM, EEPROM or other optical disc storage; the computer-readable medium may include a magnetic disk memory or other disk storage devices.
  • any connected cord is properly termed a computer-readable medium.
  • Disk and disc includes compact disc (CD), laser disc, compact disc, digital versatile disc (DVD), floppy disk and Blu-ray disc where disks usually reproduce data magnetically, while discs reproduce data optically with lasers. Reproduce data.

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  • Soundproofing, Sound Blocking, And Sound Damping (AREA)

Abstract

本申请实施例提供一种降噪参数适配方法和装置，涉及终端技术领域，所述方法包括：第一电子设备获取环境声音信号；第一电子设备确定环境声音信号在预设的多组降噪参数下分别对应的降噪量，得到多个降噪量；其中，多组降噪参数为多个耳道特征分别对应的降噪参数；第一电子设备从多个降噪量中确定目标降噪量；第一电子设备利用目标降噪量对应的目标降噪参数进行降噪处理。这样，使得降噪耳机的中的降噪参数可以与用户耳道所适配，从而有助于增强降噪耳机的降噪效果。

Description

降噪参数适配方法和装置
本申请要求于2022年02月28日提交中国专利局、申请号为202210191294.5、申请名称为“降噪参数适配方法、装置和存储介质”的中国专利申请的优先权，以及要求于2022年06月27日提交中国专利局、申请号为202210737291.7、申请名称为“降噪参数适配方法和装置”的中国专利申请的优先权，其全部内容通过引用结合在本申请中。
技术领域
本申请涉及终端技术领域，尤其涉及一种降噪参数适配方法和装置。
背景技术
随着电子技术的发展，耳机的类型和功能也越来越多。耳机的类型包括入耳式耳机、包耳式耳机、耳挂式耳机、颈挂式耳机以及半入耳式耳机等。耳机可以配有耳塞，使得耳机与人耳能够较好地贴合，从而更好地对环境噪声进行物理隔离。
随着主动降噪(active noisecancellation，ANC)技术不断发展和成熟，主动降噪技术与耳塞的结合得到的降噪耳机可以带来更好的降噪效果。
然而，降噪耳机无法使得各用户均达到预期的降噪效果。
发明内容
本申请实施例提供一种降噪参数适配方法和装置，涉及终端技术领域，使得降噪耳机的中的降噪参数可以与用户耳道所适配，从而有助于增强降噪耳机的降噪效果。
第一方面，本申请实施例提供一种降噪参数适配方法，方法包括：第一电子设备获取环境声音信号；第一电子设备确定环境声音信号在预设的多组降噪参数下分别对应的降噪量，得到多个降噪量；其中，多组降噪参数为多个耳道特征分别对应的降噪参数；第一电子设备从多个降噪量中确定目标降噪量；第一电子设备利用目标降噪量对应的目标降噪参数进行降噪处理。这样，使得降噪耳机的中的降噪参数可以与用户耳道所适配，从而有助于增强降噪耳机的降噪效果。其中，第一电子设备可以为耳机。
在一种可能的实现方式中，第一电子设备获取环境声音信号，包括：第一电子设备接收到来自第二电子设备的第一指示信息；第一指示信息用于指示对第一电子设备进行降噪参数适配以及对耳塞进行贴合度检测；响应于第一指示信息，第一电子设备获取环境声音信号。这样，第一电子设备可以实现在进行贴合度检测的过程中完成降噪参数适配，提高用户对于贴合度检测功能的使用需求。
在一种可能的实现方式中，方法还包括：第一电子设备对耳塞进行贴合度检测；第一电子设备获取环境声音信号，包括：在第一电子设备确定耳塞贴合度检测通过的情况下，第一电子设备获取环境声音信号。这样，第一电子设备可以实现在贴合度检测通过的情况下，进行降噪参数适配。
在一种可能的实现方式中，多组降噪参数包括：第一组降噪参数以及第二组降噪 参数，环境声音信号包括：第一环境声音信号以及第二环境声音信号，多个降噪量包括第一降噪量以及第二降噪量；第一电子设备确定环境声音信号在预设的多组降噪参数下分别对应的降噪量，得到多个降噪量，包括：第一电子设备确定第一环境声音信号在第一组降噪参数下的降噪量，得到第一降噪量；第一电子设备确定第二环境声音信号在第二组降噪参数下的降噪量，得到第二降噪量。可以理解的是，由于进行降噪参数适配的过程中，第一电子设备处于非播放状态，因此第一电子设备可以在进行降噪参数适配时存在几秒钟的停顿，因此可以将整个降噪过程分成多个部分，进而可以在该多个降噪部分中间插入贴合度检测，避免降噪过程中长时间的停顿为用户带来较差的使用体验。
在一种可能的实现方式中，第一电子设备确定第一环境声音信号在第一组降噪参数下的降噪量，得到第一降噪量之后，方法还包括：第一电子设备对耳塞进行贴合度检测；第一电子设备确定第二环境声音信号在第二组降噪参数下的降噪量，得到第二降噪量，包括：在第一电子设备确定耳塞贴合度检测通过的情况下，第一电子设备确定第二环境声音信号在第二组降噪参数下的降噪量，得到第二降噪量。这样，可以避免完成整个降噪参数适配时第一电子设备长时间的停顿，在完成部分降噪参数适配后，进行贴合度检测，并在贴合度检测通过的情况下继续进行降噪参数适配，进而提高用户使用贴合度检测功能的使用体验。
在一种可能的实现方式中，第一电子设备为耳机，耳机包括前馈麦克风以及后馈麦克风，第一电子设备对耳塞进行贴合度检测，包括：第一电子设备播放预置音频；第一电子设备利用前馈麦克风采集预置音频对应的第三声音信号，以及利用后馈麦克风采集预置音频对应的第四声音信号；第一电子设备利用第三声音信号对第四声音信号进行噪声抑制处理，得到目标声音信号；第一电子设备基于第三声音信号以及目标声音信号，得到声音变化量；第一电子设备基于声音变化量对耳塞进行贴合度检测；其中，耳塞贴合度检测通过，包括：声音变化量小于预设阈值。这样，终端设备可以基于贴合度检测提高用户使用第一电子设备的使用体验。
在一种可能的实现方式中，耳机还包括：扬声器，第一电子设备确定环境声音信号在预设的多组降噪参数下分别对应的降噪量，得到多个降噪量，包括：第一电子设备基于第一传递函数、第二传递函数和/或第三传递函数，确定环境声音信号在预设的多组降噪参数下分别对应的降噪量，得到多个降噪量；其中，第一传递函数用于指示从前馈麦克风到后馈麦克风之间声音的传递路径，第二传递函数用于指示从扬声器到后馈麦克风之间声音的传递路径，第三传递函数用于指示从后馈麦克风到耳道深处骨膜参考点之间声音的传递路径。这样，第一电子设备可以根据第一传递路径、第二传递路径和/或第三传递路径，更为真实的模拟出用户耳道特征，进而得到与用户耳道特征更为相关的降噪量，增加降噪适配方法的准确性。
在一种可能的实现方式中，任一组降噪参数中包括：用于对前馈麦克风中采集的声音信号进行降噪的降噪参数、和/或用于对后馈麦克风中采集的声音信号进行降噪的降噪参数。
在一种可能的实现方式中，第一电子设备利用目标降噪量对应的目标降噪参数进行降噪处理之后，方法还包括：第一电子设备向第二电子设备发送第二指示信息；其 中，第二指示信息用于指示第二电子设备显示提示信息；提示信息用于提示第一电子设备完成降噪参数适配。这样，第二电子设备可以在完成降噪参数适配时显示提示信息，增强用户使用贴合度检测功能的使用体验。
在一种可能的实现方式中，目标降噪量为多个降噪量中满足预设带宽范围、预设低频反弹范围和/或预设高频反弹范围的降噪量。这样，使得第一电子设备可以从多个降噪参数中筛选出降噪效果最好的降噪量对应的降噪参数。
在一种可能的实现方式中，环境声音信号的声音强度大于第一阈值，且环境声音信号的声音强度小于第二阈值。这样，可以通过控制环境声音信号的声音强度，保障降噪适配方法的准确性。
第二方面，本申请实施例提供一种降噪参数适配装置，降噪参数适配装置包括处理模块，处理模块，用于获取环境声音信号；处理模块，用于确定环境声音信号在预设的多组降噪参数下分别对应的降噪量，得到多个降噪量；其中，多组降噪参数为多个耳道特征分别对应的降噪参数；处理模块，还用于从多个降噪量中确定目标降噪量；处理模块，还用于利用目标降噪量对应的目标降噪参数进行降噪处理。
在一种可能的实现方式中，通信模块，用于接收到来自第二电子设备的第一指示信息；第一指示信息用于指示对第一电子设备进行降噪参数适配以及对耳塞进行贴合度检测；响应于第一指示信息，第一电子设备获取环境声音信号。
在一种可能的实现方式中，处理模块，用于对耳塞进行贴合度检测；在第一电子设备确定耳塞贴合度检测通过的情况下，处理模块，还用于获取环境声音信号。
在一种可能的实现方式中，多组降噪参数包括：第一组降噪参数以及第二组降噪参数，环境声音信号包括：第一环境声音信号以及第二环境声音信号，多个降噪量包括第一降噪量以及第二降噪量；处理模块，具体用于确定第一环境声音信号在第一组降噪参数下的降噪量，得到第一降噪量；处理模块，还具体用于确定第二环境声音信号在第二组降噪参数下的降噪量，得到第二降噪量。
在一种可能的实现方式中，处理模块，用于对耳塞进行贴合度检测；在第一电子设备确定耳塞贴合度检测通过的情况下，处理模块，用于确定第二环境声音信号在第二组降噪参数下的降噪量，得到第二降噪量。
在一种可能的实现方式中，第一电子设备为耳机，耳机包括前馈麦克风以及后馈麦克风，处理模块，用于：播放预置音频；利用前馈麦克风采集预置音频对应的第三声音信号，以及利用后馈麦克风采集预置音频对应的第四声音信号；利用第三声音信号对第四声音信号进行噪声抑制处理，得到目标声音信号；基于第三声音信号以及目标声音信号，得到声音变化量；基于声音变化量对耳塞进行贴合度检测；其中，耳塞贴合度检测通过，包括：声音变化量小于预设阈值。
在一种可能的实现方式中，耳机还包括：扬声器，处理模块，具体用于基于第一传递函数、第二传递函数和/或第三传递函数，确定环境声音信号在预设的多组降噪参数下分别对应的降噪量，得到多个降噪量；其中，第一传递函数用于指示从前馈麦克风到后馈麦克风之间声音的传递路径，第二传递函数用于指示从扬声器到后馈麦克风之间声音的传递路径，第三传递函数用于指示从后馈麦克风到耳道深处骨膜参考点之间声音的传递路径。
在一种可能的实现方式中，任一组降噪参数中包括：用于对前馈麦克风中采集的声音信号进行降噪的降噪参数、和/或用于对后馈麦克风中采集的声音信号进行降噪的降噪参数。
在一种可能的实现方式中，通信模块，还用于向第二电子设备发送第二指示信息；其中，第二指示信息用于指示第二电子设备显示提示信息；提示信息用于提示第一电子设备完成降噪参数适配。
在一种可能的实现方式中，目标降噪量为多个降噪量中满足预设带宽范围、预设低频反弹范围和/或预设高频反弹范围的降噪量。
在一种可能的实现方式中，环境声音信号的声音强度大于第一阈值，且环境声音信号的声音强度小于第二阈值。
第三方面，本申请实施例提供一种计算机可读存储介质，计算机可读存储介质中存储有计算机程序或指令，当计算机程序或指令在计算机上运行时，使得计算机执行第一方面或第一方面的任意一种可能的实现方式中描述的降噪参数适配方法。
第四方面，本申请实施例提供一种包括计算机程序的计算机程序产品，当计算机程序在计算机上运行时，使得计算机执行第一方面或第一方面的任意一种可能的实现方式中描述的降噪参数适配方法。
第五方面，本申请提供一种芯片或者芯片系统，该芯片或者芯片系统包括至少一个处理器和通信接口，通信接口和至少一个处理器通过线路互联，至少一个处理器用于运行计算机程序或指令，以执行第一方面或第一方面的任意一种可能的实现方式中描述的降噪参数适配方法。其中，芯片中的通信接口可以为输入/输出接口、管脚或电路等。
在一种可能的实现中，本申请中上述描述的芯片或者芯片系统还包括至少一个存储器，该至少一个存储器中存储有指令。该存储器可以为芯片内部的存储单元，例如，寄存器、缓存等，也可以是该芯片的存储单元(例如，只读存储器、随机存取存储器等)。
第六方面，本申请实施例提供一种电子设备，该电子设备包括存储器和处理器，存储器用于存储计算机程序，处理器用于执行计算机程序，以执行上述第一方面或第一方面的任意一种可能的实现方式中描述的降噪参数适配方法。
应当理解的是，本申请的第二方面至第六方面与本申请的第一方面的技术方案相对应，各方面及对应的可行实施方式所取得的有益效果相似，不再赘述。
附图说明
图1为本申请实施例提供的一种场景示意图；
图2为本申请实施例提供的一种耳机的结构示意图；
图3为本申请实施例提供的一种贴合度检测的界面示意图；
图4为本申请实施例提供的一种贴合度检测以及降噪参数适配的流程示意图；
图5为本申请实施例提供的一种耳道的示意图；
图6为本申请实施例提供的另一种贴合度检测的界面示意图；
图7为本申请实施例提供的再一种贴合度检测的结果示意图；
图8为本申请实施例提供的一种耳机进行检测适配的示意图；
图9为本申请实施例提供的一种耳廓的示意图；
图10为本申请实施例提供的另一种贴合度检测以及降噪参数适配的流程示意图；
图11为本申请实施例提供的一种声学传递路径的示意图；
图12为本申请实施例提供的一种自适应调节的原理示意图；
图13为本申请实施例提供的一种耳机的结构示意图；
图14为本申请实施例提供的一种芯片的结构示意图。
具体实施方式
为了便于清楚描述本申请实施例的技术方案，在本申请的实施例中，采用了“第一”、“第二”等字样对功能和作用基本相同的相同项或相似项进行区分。例如，第一芯片和第二芯片仅仅是为了区分不同的芯片，并不对其先后顺序进行限定。本领域技术人员可以理解“第一”、“第二”等字样并不对数量和执行次序进行限定，并且“第一”、“第二”等字样也并不限定一定不同。
需要说明的是，本申请实施例中，“示例性的”或者“例如”等词用于表示作例子、例证或说明。本申请中被描述为“示例性的”或者“例如”的任何实施例或设计方案不应被解释为比其他实施例或设计方案更优选或更具优势。确切而言，使用“示例性的”或者“例如”等词旨在以具体方式呈现相关概念。
本申请实施例中，“至少一个”是指一个或者多个，“多个”是指两个或两个以上。“和/或”，描述关联对象的关联关系，表示可以存在三种关系，例如，A和/或B，可以表示：单独存在A，同时存在A和B，单独存在B的情况，其中A，B可以是单数或者复数。字符“/”一般表示前后关联对象是一种“或”的关系。“以下至少一项(个)”或其类似表达，是指的这些项中的任意组合，包括单项(个)或复数项(个)的任意组合。例如，a，b，或c中的至少一项(个)，可以表示：a，b，c，a-b，a--c，b-c，或a-b-c，其中a，b，c可以是单个，也可以是多个。
用户在使用耳机时，由于不同用户之间的耳廓和/或外耳道之间的个体差异，对于入耳式耳机而言，选用耳塞的贴合度良好与否，是影响降噪效果的一大因素，因此对用户佩戴耳机后进行贴合度检测，使得用户选择贴合度良好的耳塞可以提升降噪效果。因此对用户佩戴耳机后进行贴合度检测，使得用户可以通过选择贴合度良好的耳塞提升降噪效果。
示例性的，图1为本申请实施例提供的一种场景示意图。如图1所示，该场景中可以包括耳机10、以及与耳机10建立通信连接的电子设备20，以电子设备20为手机为例进行示例说明，该示例并不构成对本申请实施例的限定。其中，耳机10可以包括左耳耳机10-1以及左耳耳机10-2，左耳耳机10-1中设置有耳塞101-1，左耳耳机10-2中设置有耳塞101-2。
示例性的，如图1所示，在用户佩戴耳机10(如图1中的耳机10-1以及耳机10-2)并对耳机10进行调试时，耳机10与电子设备20连接，电子设备20接收用户针对贴合度测试控件的触发操作，响应于该触发操作向耳机10发送测试指示信息。该测试指示信息用于指示耳机10进行贴合度检测，耳机10在贴合度检测完成的情况下，向电 子设备20发送检测结果，电子设备20可以将接收到的检测结果反馈给用户。并在耳机10-1或耳机10-2中至少一个耳机的贴合度未达到预设标准的情况下，提示用户更换耳机10的耳塞101-1和/或耳塞101-2，直至用户所佩戴的耳机10的贴合度达到预设标准。
因此，在该耳机的贴合度达到预设标准的情况下，用户则可以实现对环境噪声的物理隔离，从而达到较好的降噪效果。
随着主动降噪技术不断发展和成熟，主动降噪技术与耳塞的结合得到的主动降噪耳机可以带来更好的降噪效果，因而被广泛使用。所谓主动降噪就是通过耳机上的拾音麦克风，收集周围环境的噪声，再通过内置芯片实时运算，产生反相的声波去抵消噪声，从而实现感官上的噪音降低的效果。
例如，主动降噪耳机可以包括前馈(feed-forward，FF)麦克风、反馈(feed-backward，FB)麦克风以及滤波器组件。当用户佩戴好主动降噪耳机时，耳机的FF麦克风采集到的噪声信号为环境噪声信号(或称为环境声音信号)，耳机的FB麦克风采集到的噪声信号为经过耳机隔离后的噪声信号。
主动降噪耳机可以包括前馈(feed-forward，FF)麦克风、反馈(feed-backward，FB)麦克风以及滤波器组件。当用户佩戴好主动降噪耳机时，耳机的前馈麦克风采集到的噪声信号为环境噪声信号(也称环境信号)，耳机的反馈麦克风采集到的噪声信号为经过耳机隔离后的噪声信号。当前，主动降噪耳机在设计时，通过测得耳机前馈麦克风采集的环境信号与反馈麦克风采集的经过耳机隔离后的噪声信号之间的能量差值，根据测得的能量差值来固定设置滤波器组件的降噪参数。这样，主动降噪耳机在固定的降噪参数的情况下，即使贴合度良好，由于不同用户的外耳道的个体差异，主动降噪耳机的降噪效果也可能存在较大差异。
有鉴于此，本申请实施例提供一种降噪参数适配方法，第一电子设备获取环境声音信号；第一电子设备确定环境声音信号在预设的多组降噪参数下分别对应的降噪量，得到多个降噪量；其中，多组降噪参数中的任一组降噪参数存在与任一组降噪参数相对应的耳道特征；第一电子设备从多个降噪量中确定目标降噪量；使得第一电子设备可以根据获取到的环境声音信号，自动从预设的多组降噪参数中选择与用户的耳道匹配最为适配的降噪参数，进一步的，第一电子设备利用目标降噪量对应的目标降噪参数进行降噪处理，从而增强耳机的降噪效果。
其中，该第一电子设备可以为本申请实施例中描述的耳机。
为了能够更好地理解本申请实施例，下面对本申请实施例的耳机的结构进行说明。示例性的，图2所示为本申请实施例提供的一种耳机的结构示意图。
如图2所示，耳机10包括一个或者多个处理器110、一个或多个存储器120、通信接口130、音频采集电路和音频播放电路。其中音频采集电路进一步可包括至少一个麦克风140和模拟数字转换器(analog-to-digital converter，ADC)150。音频播放电路进一步可包括扬声器160和数字模拟转换器(digital-to-analog converter，DAC)。可选的，耳机10还可以包括一个或多个传感器180，例如接近传感器、运动传感器(motion sensor)、惯性传感器等等。上述这些硬件部件可在一个或多个通信总线上通信。分别描述如下：
处理器110是耳机10的控制中心，处理器还可能被称为控制单元、控制器、微控制器或其他某个合适的术语。处理器110利用各种接口和线路连接耳机10的各个部件，在可能实施例中，处理器110还可包括一个或多个处理核心。在可能的实施例中，处理器110中可集成有主控制单元和信号处理模块。主控制单元(MCU)用于接收传感器180采集的数据或来自信号处理模块的监测信号或来自终端(例如手机APP)的控制信号，通过综合判断、决策，最后对耳机10进行控制。主控制单元还用于将滤波器系数写到信号处理模块中的滤波器对应的滤波器系数的位置，从而实现对滤波器的配置。此外，主控制单元还可用于根据级别索引确定下行音频信号的音量。
本申请实施例中，处理器110可用于控制耳机10的各部件的工作时序，配置耳机10的各部件的工作参数，通过算法分析至少一个麦克风或者传感器采集的数据以便于设定适配于用户耳道的降噪参数等。
存储器120可以与处理器110耦合，或者与处理器110通过总线连接，用于存储各种软件程序和/或多组指令以及数据。具体实现中，存储器120可包括高速随机存取的存储器，并且也可包括非易失性存储器，例如一个或多个磁盘存储设备、嵌入式多媒体卡(embedded multi media card，EMMC)、通用闪存存储(universal flash storage，UFS)、只读存储器(read-only memory，ROM)或闪存(flash)等，或者是可存储静态信息和指令的其他类型的静态存储器。存储器120还可以存储一个或多个计算机程序，一个或多个计算机程序包括本申请所描述方法的程序指令。示例性的，存储器203中存储用于实现降噪参数适配方法的计算机指令。
存储器120还可以存储通信程序，该通信程序可用于与终端进行通信。在一种示例中，存储器120还可以存储数据/程序指令，处理器110可用于调用和执行存储器120中的数据/程序指令。示例性的，存储器120中可以存储多组降噪参数。
可选的，该存储器120可以为MCU外部的存储器，也可以为MCU自带的存储单元。
通信接口130用于与终端进行通信，该通信方式可以是有线方式，也可以是无线方式。当通信方式是有线通信时，通信接口130可通过线缆接入到终端。当通信方式是无线通信时，通信接口130用于接收和发送射频信号，其所支持的无线通信方式例如可以是蓝牙(Bluetooth)通信、无线保真(wireless-fidelity，Wifi)通信、红外通信、或蜂窝2/3/4/5代(2/3/4/5generation，2G/3G/4G/5G)通信等通信方式中的至少一种。具体实现中，通信接口130可包括但不限于：天线系统、RF收发器、一个或多个放大器、调谐器、一个或多个振荡器、数字信号处理器、CODEC芯片、SIM卡和存储介质等。在一些实施例中，可在单独的芯片上实现通信接口130。
本申请实施例中，通信接口130可用于指示对耳机10进行贴合度检测。例如，用户通过在电子设备的应用程序(application，APP)向耳机10发送触发指令，并通过无线链路传送给该通信接口130，示例性的，该无线链路可以是蓝牙链路。该触发指令用于主控制单元进行贴合度检测以及降噪参数的设定，和/或，下行音频信号的播放音量。
其中，电子设备也可以称为终端，(terminal)、用户设备(user equipment，UE)、移动台(mobile station，MS)、移动终端(mobile terminal，MT)等。电子设备可以 为具有通信功能的手机(mobile phone)、智能电视、穿戴式设备、平板电脑(Pad)、带无线收发功能的电脑、虚拟现实(virtual reality，VR)设备、增强现实(augmented reality，AR)设备、工业控制(industrial control)中的设备、无人驾驶(self-driving)中的设备、远程手术(remote medical surgery)中的设备、智能电网(smart grid)中的设备、运输安全(transportation safety)中的设备、智慧城市(smart city)中的设备、智慧家庭(smart home)中的设备等等。本申请的实施例对电子设备所采用的具体技术和具体设备形态不做限定。
至少一个麦克风140中可以包括：FF麦克风、FB麦克风和主麦克风等。麦克风140可用于采集声音信号(或称音频信号，该音频信号是模拟信号)，模拟数字转换器150用于将麦克风140采集到的模拟信号转换成为数字信号，并将该数字信号送到处理器110进行处理，具体实施例中，可送到信号处理模块进行处理。信号处理模块可将处理后的信号(例如混音音频信号)传输至数字模拟转换器170，数字模拟转换器170可将接收到的信号转换为模拟信号，进而传输到扬声器160，扬声器用于根据该模拟信号进行播放，从而使用户能够听到声音。
FF麦克风通常设置在耳机10远离耳道的一侧(即耳机的外侧)，用于采集外界环境中的声音信号或噪声。
FB麦克风通常设置在耳机10接近耳道的一侧(即耳机的里侧)，距离扬声器较近，用于采集用户耳道中的声音信号。本申请实施例中，FB麦克风例如可采集用户说话时通过骨传导的方式传播的声音信号、外部传入的部分噪声，或者可采集由于耳机振动、耳机线抖动、头部转动、或佩戴耳机运动时耳机受外界碰撞或者摩擦产生振动而引起的耳道中的噪声。
需要说明的是，本申请实施例所提供的耳机可以包括左耳耳机以及右耳耳机，该左耳耳机中包括FF麦克风以及FB麦克风；该右耳耳机中也可以包括FF麦克风以及FB麦克风。
本领域技术人员可以理解，耳机10仅为本申请实施例提供的一种示例。在本申请的具体实现中，耳机10可具有比示出的部件更多或更少的部件，可以组合两个或更多个部件，或者可具有部件的不同配置实现。需要说明的是，在一种可选的情况中，耳机10的上述各个部件也可以耦合在一起设置。
应当理解，本申请的各个实施例中，术语“耦合”是指通过特定方式的相互联系，包括直接相连或者通过其他设备间接相连，例如可以通过各类接口、传输线或总线等相连，这些接口通常是电性通信接口，但是也不排除可能是机械接口或其它形式的接口，本申请实施例对此不做限定。
可以理解的是，上述耳机10也可能被称为耳塞、耳麦、随身听、音讯播放器、媒体播放器、头戴式受话器、听筒设备或其他某个合适的术语。本申请的实施例对此不做限定。
下面以具体地实施例对本申请的技术方案以及本申请的技术方案如何解决上述技术问题进行详细说明。下面这几个具体的实施例可以独立实现，也可以相互结合，对于相同或相似的概念或过程可能在某些实施例中不再赘述。
本申请实施例中描述的降噪参数适配方法可以涉及耳机和电子设备，且耳机和电子设备可以建立连接。示例性的，耳机与电子设备可以通过有线通信方式建立通信连接；或者，耳机与电子设备也可以通过无线通信方式建立通信连接，例如耳机与电子设备可以通过蓝牙、WIFI、或连接到同一云端账号等无线方式建立通信连接，本申请实施例中对耳机与电子设备建立通信连接的方式不做限定。在本申请实施例中，以电子设备为手机为例进行示例说明，该示例并不构成对本申请实施例的限定。
可以理解的是，手机中可以设置有用于对耳机进行控制的预设应用，使得用户可以基于该预设应用实现耳机的贴合度检测等功能。其中，该预设应用可以为三方应用、或也可以为手机系统中的应用，本申请实施例中对此不做限定。
示例性的，图3为本申请实施例提供的一种贴合度检测的界面示意图。
在耳机与手机建立连接的情况下，手机可以基于预设应用进行贴合度检测，例如当手机接收到用户打开该应用中的贴合度检测功能的操作时，手机可以显示如图3中的a所示的界面，该界面中可以包括：用于指示贴合度检测的文字信息、用于指示开始检测的提示信息、耳机的图像以及左右耳标识(其中，L可以对应于左耳耳机，R可以对应于右耳耳机)、左上角用于退出贴合度检测的控件、以及开始控件301等。其中，该用于指示贴合度检测的文字信息可以显示为：耳塞贴合度检测；该用于指示开始检测的提示信息可以为：请佩戴好两只耳机，按下“开始”按钮；该开始控件301用于开始进行降噪参数适配以及对耳塞进行贴合度检测。
在如图3中的a所示的界面中，当手机接收到用户针对该开始控件301的触发操作时，手机可以显示如图3中的b所示的界面，并向耳机发起指示信息，使得耳机可以根据指示信息进行贴合度检测以及降噪参数适配。其中，触发操作可以包括：点击操作、长按操作、或滑动操作等，本申请实施例中对此不做限定。
如图3中的b所示的界面，该界面中可以包括：用于指示请勿摘下耳机的文字信息、用于指示正在进行贴合度检测的文字信息、以及正在检测控件。其中，该用于指示正在进行贴合度检测的文字信息可以显示为：正在进行贴合度检测以及降噪参数适配；该正在检测控件可以为灰色，可以理解为该正在检测控件处于不可触发状态。
基于此，使得用户可以根据自身需求，在需要进行耳机贴合度检测时，利用手机对耳机进行灵活的控制，进而在贴合度检测合格的情况下，保证耳机拥有较好的降噪效果；并且，实现在贴合度检测的过程中进行降噪参数适配。
在图3对应的实施例的基础上，如图3中的b所示的界面，在手机向耳机发起提示时，耳机可以根据手机发送的提示信息，执行贴合度检测以及降噪参数适配过程。
本申请实施例中，耳机可以采用两种降噪参数适配方法，例如，方法一、耳机可以基于预设的与耳道特征相关的降噪参数，进行降噪参数适配(参见图4对应的实施例)；方法二、耳机可以基于对耳道特征的分析实时匹配与耳道特征相关的降噪参数(参见图10对应的实施例)。
方法一、耳机可以基于预设的与耳道特征相关的降噪参数，进行降噪参数适配。
示例性的，图4为本申请实施例提供的一种贴合度检测以及降噪参数适配的流程示意图。如图4所示，该贴合度检测以及降噪参数适配可以包括如下步骤：
S401、耳机获取指示信息。
本申请实施例中，该指示信息用于指示耳机进行预设的贴合度检测以及降噪参数适配步骤。
可能的实现方式中，耳机接收来自手机发送的指示信息。可以理解的是，耳机与手机可以通过蓝牙通信连接，或者，耳机与手机也可以通过物理线路连接。本申请实施例对此不进行限定。
示例性的，用户在日常环境为耳机选择一种型号的耳塞，佩戴好耳机，并在耳机与手机建立连接之后，在手机如图3中的a所示的界面进行操作。手机接收针对图3中的a所示界面中开始控件301的触发操作，响应于该触发操作手机向与手机连接的耳机发送指示信息。耳机接收来自手机的指示信息。响应于该触发操作，手机还可以显示如图3中的b所示界面。
本申请实施例中，日常环境为声音强度大于第一阈值，且小于第二阈值的环境。声音强度大于第一阈值是为了避免在进行降噪参数适配的过程中用户所处环境过于安静，小于第二阈值是为了避免在进行降噪参数适配的过程中用户所处环境过于嘈杂。
S402、在耳机接收到指示信息，且处于非播放状态的第一预设时间段内采集预设的N组降噪参数所对应的N个第一降噪量。
其中，N个第一降噪量可以包括：L 1(f)-L N(f)，N为大于1的整数。
本申请实施例中，该非播放状态可以为耳机不播放任何声音时所处的状态；该第一预设时间段可以为1秒-3秒或其他时间段等。
本申请实施例中，耳机中可以设置有M组降噪参数，该M组降噪参数可以为预先根据不同的耳道特征设置的。例如，手机可以对大量用户佩戴耳机后的实测耳道数据进行聚类分析，将参与实测的耳道简化分为M组耳道特征；针对M组耳道特征中的任一组耳道特征，电子设备可以匹配不同的降噪参数，并获取降噪效果最优的降噪参数作为该任一组耳道特征相适应的降噪参数，进而得到M组耳道特征分别对应的M组降噪参数。使得拥有不同耳道特征的用户在正常佩戴耳机的情况下，均可以基于与耳道特征相关的降噪参数，得到良好降噪效果。
示例性的，图5为本申请实施例提供的一种耳道的示意图。如图5所示，不用用户的耳道的长度、耳道的宽度、以及耳道的形状等存在较大差异。例如，图5中的耳道501的长约为28毫米(mm)、宽约为48mm、耳道501的形状呈“弯钩”型；图5中的耳道502的长约为31mm、宽约为20mm，耳道502的形状较为均匀。
可以理解的是，不同用户的耳道存在较大差异，因此本申请实施例中可以利用与耳道特征相对应的降噪参数，对当前用户佩戴耳机时的降噪量进行计算，进而筛选出与用户的耳道相适应的目标降噪参数，提高降噪效果。
本申请实施例中，任一组降噪参数中可以包括：用于对FF麦克风采集到的第一声音信号进行降噪的FF降噪参数(或称为正馈滤波器系数)；或者，该任一组降噪参数中也可以包括：用于对FF麦克风采集到的第一声音信号进行降噪的FF降噪参数、以及用于对FB麦克风采集到的第二声音信号进行降噪的FB降噪参数(或称为反馈滤波器系数)。可以理解的是，由于在实际耳机降噪过程中，FB麦克风的降噪效果较为稳定，因此该降噪参数可以只包括FF降噪参数。
示例性的，以该任一组降噪参数中包括：FF降噪参数以及FB降噪参数为例，对利用N组降噪参数中的任一组降噪参数进行降噪参数适配的过程进行说明。例如，在耳机接收到手机发送的指示信息时，耳机可以利用FF麦克风以及FB麦克风分别获取声音信号，利用该任一组降噪参数中的FF降噪参数，对FF麦克风采集到的第一声音信号进行降噪处理，得到FF降噪量；利用该任一组降噪参数中的FB降噪参数，对FB麦克风采集到的第二声音信号进行降噪处理，得到FB降噪量，进而由FF降噪量与FB降噪量的差值得到该任一组降噪参数对应的第一降噪量。类似的，耳机得到第N组降噪参数对应的降噪量L 1(f)-L N(f)。其中，耳机可以基于预置的ANC滤波器等，执行本申请实施例中描述的降噪处理步骤。
可能的实现方式中，耳机也可以利用基于FF麦克风获取的第一声音信号进行环境识别，保证耳机可以在第一声音信号大于第一阈值，且第一声音信号小于第二阈值的环境中进行耳塞的贴合度检测。其中，第二阈值大于第一阈值。
示例性的，图6为本申请实施例提供的另一种贴合度检测的界面示意图。例如，当耳机在检测到第一声音信号(或日常环境对应的声音信号，或理解为前馈麦克风检测到的声音信号以及后馈麦克风检测到的声音信号的和)的声音强度大于第二阈值时，则耳机可以确定当前处于较为嘈杂的环境中，耳机可以显示如图6中的a所示的界面，该界面中可以包括：用于指示环境中声音强度较大的提示信息601、以及结束控件。其中，该提示信息601可以显示为：检测到当前环境声音较大，请转移至正常声音强度的环境中。
进一步的，当耳机在检测到第一声音信号的声音强度小于第一阈值时，则耳机可以确定当前处于较为安静的环境中，耳机可以由图6中的a所示的界面切换至如图6中的b所示的界面，该界面中可以包括：用于指示环境中声音强度较小的提示信息602。其中，该提示信息602可以显示为：检测到当前环境声音较小，请转移至正常声音强度的环境中。该图6中的a所示的界面以及图6中的b所示的界面中显示的其他内容与图3中的b所示的界面类似，在此不再赘述。
可以理解的是，在环境中的声音强度较高或者声音强度较低的场景中，均可能对后续的降噪效果产生影响，因此需要保证在合适的声音强度的环境中进行贴合度检测以及降噪参数适配。
S403、耳机在处于播放状态的第二预设时间段内利用预置音频进行耳塞贴合度检测，得到贴合度检测结果。
本申请实施例中，预置音频可以是设置在与耳机连接的手机的预设应用中的；第二预设时间段可以为预置音频对应的时间段。
可能的实现方式中，耳机通过如下步骤进行贴合度检测：
步骤一：耳机在播放预置音频的过程中，利用FF麦克风以及FB麦克风分别采集声音信号，得FF麦克风对应第三声音信号以及FB麦克风对应的第四声音信号。
步骤二：耳机利用第三声音信号以及第四声音信号进行贴合度检测，得到贴合度检测结果。
示例性的，耳机采集基于耳机的FF麦克风采集到的第三声音信号，并在该第三声音信号的信噪比小于信噪比阈值的情况下，结合FF麦克风采集的第三声音信号对FB 麦克风采集的第四声音信号进行噪声抑制处理，得到播放预置音频的声音信号(或称为目标声音信号)；进一步的，基于该第三声音信号与该得到播放预置音频的声音信号的变化量，得到耳机的泄漏量；在该泄漏量小于预设的泄漏量阈值时，确定耳机的贴合度良好，或者在该泄漏量大于或等于泄漏量阈值时，确定耳机的贴合度不够。
其中，结合FF麦克风采集的第三声音信号对FB麦克风采集的第四声音信号进行噪声抑制处理可以为，基于第三声音信号的主动降噪方法，或者也可以为其他方法，本申请实施例中对此不做限定。
可能的实现方式中，也可以采集第三声音信号中的关键频率，并利用关键频率上的信号的变化量进行耳机的贴合度检测。例如，耳机采集基于耳机的FF麦克风采集到的第三声音信号，并获取该第三声音信号在关键频率上的第一响应幅度，在该第一响应幅度的信噪比小于信噪比阈值的情况下，结合FF麦克风采集的第三声音信号对FB麦克风采集的第四声音信号进行噪声抑制处理，得到播放预置音频的声音信号，并获取在该播放预置音频的声音信号在关键频率上的第二响应幅度；进一步的，基于该第一响应幅度以及第二响应幅度的变化量，得到耳机的泄漏量；在该泄漏量小于预设的泄漏量阈值时，确定耳机的贴合度良好，或者在该泄漏量大于或等于泄漏量阈值时，确定耳机的贴合度不够。其中，该关键频率对应的范围可以为：20赫兹(Hz)-4000Hz。
可能的实现方式中，耳机还可以依据算法检测噪声的泄露量，并依据泄露量对降噪参数做相应调整或者补偿，使得耳机可以实现在用户不需要对耳塞进行调整的情况下，改善噪声泄漏的情况，从而得到更好的降噪效果。
S404、耳机判断两侧耳机的贴合度检测结果是否均表征贴合度良好，若是，则执行S406，若否，则执行S405。
可以理解的是，至少有一侧耳机的贴合度检测结果表征耳机的贴合度不够的情况下，耳机均会向手机发送提示信息以提醒用户更换耳机的耳塞的型号，或者，调整耳机的佩戴位置后重新进行贴合度检测。若两侧耳机的贴合度检测结果均表征贴合度良好的情况下，则耳机会继续运行S406所示的步骤中继续基于耳道类型自动适配降噪参数的程序。
S405、耳机向手机发送提示信息，提示信息用于提示用户更换耳机的耳塞。
示例性的，图7为本申请实施例提供的再一种贴合度检测的结果示意图。
如图7所示，当耳机将用于指示左耳耳机贴合度不够，且右耳耳机贴合度不够的消息发送到手机时，手机可以显示如图7中的a所示的界面，该界面中可以包括：用于指示各耳机的贴合度情况的文字信息、以及用于指示贴合度检测结果的提示信息701、用于再次检测的控件、以及用于完成检测的控件等。其中，该提示信息701可以显示为：耳机贴合度检测结果，您当前佩戴的耳塞大小检测不合适，请更换；该用于指示各耳机的贴合度情况的文字信息可以为：贴合度不够。
进一步的，当用户更换耳塞，且手机接收到用户针对图7中的a所示的用于再次检测的控件的触发操作时，手机可以再次向耳机发送指示信息，并指示耳机执行S403所示的步骤，进而得到再次进行贴合度检测的检测结果。
S406、耳机在处于非播放状态的第三预设时间段内，采集预设的M-N组降噪参数所对应的M-N个第二降噪量。其中，该第二降噪量可以包括：L N+1(f)-L M(f)。
示例性的，耳机在检测到贴合度良好后的一段时间内，耳机保持非播放状态并继续获取M组降噪参数中剩余的降噪参数，如第N+1组降噪参数-第M组降噪参数分别对应的降噪量，得到第二降噪量。
可以理解的是，耳机中的M组降噪参数中的第1组-第N组降噪参数可以用于在S402所示的步骤中得到第一降噪量；该M组降噪参数中的第N+1组-第M组降噪参数可以用于在S406所示的步骤中进行得到第二降噪量。
其中，M可以大于2N，使得用户在图3中的b所示的界面中进行贴合度检测时，可以在进行贴合度检测前的处于非播放状态的第一预设时间段内，利用该M组降噪参数中的少部分的降噪参数进行一次降噪量的计算，并在贴合度检测合格后的处于非播放状态的第三预设时间段内，利用该M组降噪参数中剩余的降噪参数继续进行降噪量的计算。
这样，可以避免在贴合度检测前(或贴合度检测后)，利用全部的M组降噪参数进行降噪量计算时带来较长时间的停顿，给用户带来不好的使用体验，因此本申请实施例中将分段利用降噪参数进行降噪量计算。
可能的实现方式中，耳机也可以采用以下方式进行降噪参数适配。
一种实现中，在耳机接收到S401中手机发送的指示信息时，耳机可以在处于非播放状态的一段时间段内采集预设的M组降噪参数所对应的M个降噪量，进而利用该M个降噪量进行降噪参数适配，并在降噪参数适配结束后执行S403所示的步骤进行贴合度检测。
再一种实现中，在耳机接收到S401中手机发送的指示信息时，耳机执行S403所示的步骤进行贴合度检测，并在该贴合度检测通过后，在处于非播放状态的一段时间段内采集预设的M组降噪参数所对应的M个降噪量，进而利用该M个降噪量进行降噪参数适配。
可以理解的是，本申请实施例中对利用M组降噪参数进行降噪参数适配的方法，不做具体限定。
S407、根据获取的N个第一降噪量以及各第一降噪量对应的降噪参数和M-N个第二降噪量以及各第二降噪量对应的降噪参数，确定目标降噪参数。
示例性的，利用M组降噪参数对应的M组降噪量，确定目标降噪参数的方法可以为：耳机基于降噪带宽情况、低频反弹情况、以及高频反弹情况中的至少一种，确定目标降噪参数。示例性的，耳机可以分别计算该M组降噪量分别对应的带宽、低频反弹数值、以及高频反弹数值，进而从该M组降噪量中筛选出带宽满足带宽范围、低频反弹数值满足低频反弹单位、和/或高频反弹数值满足高频反弹范围的目标降噪量，进而得到该目标降噪量所对应的目标降噪参数。
可以理解的是，不同耳机中，该带宽范围、低频反弹范围、以及高频反弹范围的取值均可以不同，本申请实施例中对此不做限定。
可能的实现方式中，耳机中也可以设置有M组降噪参数与该M组降噪参数所对应的权重。在检测到M组降噪量中Q组降噪量均满足上述降噪带宽情况、低频反弹情况、以及高频反弹情况中的至少一种的情况下，耳机可以进一步的利用该Q组降噪量分别对应的权重，对Q组降噪参数进行加权处理，进而得到目标降噪参数。其中，Q 小于或等于M。
S408、耳机向手机发送检测适配结果。其中，检测适配结果用于表征耳机的贴合度良好，且已完成适配降噪参数。
可以理解的是，在S408之后用户此后每次佩戴耳机时，耳机将会利用该目标降噪参数进行降噪处理，避免重复进行降噪参数的匹配。这样，使得多数用户正常佩戴后即使不进行降噪参数适配也均能取得平均水准以上的降噪效果。当用户再次对耳机进行贴合度检测时，耳机将会重新进行目标降噪参数的计算。
示例性的，在耳机计算得到目标降噪参数的情况下，耳机可以确定完成降噪参数匹配过程时，并向手机发送用于指示降噪参数匹配完成的指示信息；在手机接收到耳机发送的用于指示降噪参数匹配完成的指示信息，手机可以显示如图7中的b所示的界面。如图7中的b所示的界面，该界面中的用于指示贴合度检测结果的提示信息702可以显示为：耳机贴合度检测结果，您当前佩戴的耳塞大小检测合适，已为您配置个性化降噪参数；该用于指示各耳机的贴合度情况的文字信息可以为：贴合度良好，该界面中显示的其他内容可以与图7中的a所示的界面类似，在此不再赘述。
示例性的，图8为本申请实施例提供的一种耳机进行检测适配的示意图。图8中耳机分别采集第1组预置的ANC滤波器系数下耳机的频域降噪量至第N组预置的ANC滤波器系数下耳机的频域降噪量，然后进行耳塞贴合度检测，在耳塞贴合度检测良好的情况下，采集第N+1组预置的ANC滤波器系数下耳机的频域降噪量至第M组预置的ANC滤波器系数下耳机的频域降噪量。再然后耳机从获取的多个频域降噪量中选择最优降噪量，将最优降噪量对应的滤波器系数作为匹配的目标降噪参数。
需要说明的是，用户在平常使用耳机的过程中，耳机还可以依据算法检测噪声的泄露量，并依据泄露量对降噪参数做相应调整或者补偿。从而可以得到更好的降噪效果。
本申请实施例中，用户在检测选佩耳塞贴合度良好的同时，自动轮询多组降噪参数以完成降噪参数的适配，使得适配的降噪参数更符合用户的耳道特征，从而有助于增强降噪效果。这样，无需用户运行专门用于进行参数适配的程序，提高用户对于耳机的使用体验。
基于此，使得耳机可以在进行贴合度检测的过程中，可以实现根据耳机采集到的声音信号，自动匹配与用户的耳道特征适配的降噪参数，从而增强主动降噪耳机的降噪效果。
可能的实现方式中，在图4对应的实施例的基础上，不同的耳廓也将对降噪效果产生一定的影响。
示例性的，图9为本申请实施例提供的一种耳廓的示意图。如图9所示，耳廓901与耳廓902的尺寸存在较大差异，而作为接收外界声音信号的重要部位，不同的耳廓也将对声音信号的接收产生较大影响，进而对本申请实施例中的降噪效果产生影响。
示例性的，耳机中也可设置有：耳廓特征、耳道特征以及降噪参数之间的对应关系，在进行降噪过程中，电子设备也可以采集用户耳朵的图像，提取用户的耳廓特征，并基于耳廓特征与预设的耳道特征，进一步确定目标降噪参数。
基于此，使得耳机为不同耳道特征以及耳廓的用户，匹配合适的目标降噪参数，使耳机可以为不同用户带来较好的降噪效果。
方法二、耳机可以基于对耳道特征的分析，实时匹配与耳道特征相关的降噪参数。
示例性的，图10为本申请实施例提供的另一种贴合度检测以及降噪参数适配的流程示意图。如图10所示，该贴合度检测以及降噪参数适配可以包括如下步骤：
S1001、耳机获取指示信息。
S1002、在耳机接收到指示信息，且处于非播放状态的第一预设时间段内利用FF麦克风采集的第一声音信号、以及FB麦克风采集到的第二声音信号，得到第一声学传递路径。
其中，该指示信息、非播放状态以及第一预设时间段的描述可以参见S402所示的步骤，在此不再赘述。
本申请实施例中，该第一声学传递路径由于指示FF麦克风到FB麦克风之间的声学路径，或理解为噪声到人耳的声学传递路径；该第一声学传递路径也可以称为：初级声学路径、或第一传递函数等。
示例性的，图11为本申请实施例提供的一种声学传递路径的示意图。在图11对应的实施例中，任一耳机中可以包括FF麦克风、扬声器、以及FB麦克风，耳机可以实现将声音传递到耳膜。
如图11所示，X AC(t)可以为环境声音信号，第一声学传递路径可以为P A(s)。
可以理解的是，耳机可以基于预设的神经网络模型或其他方法等，确定第一声学传递路径，本申请实施例中对此不做限定。
S1003、在耳机处于播放状态的第二预设时间段内利用预置音频进行耳塞贴合度检测，得到贴合度检测结果；并且，利用扬声器输出的下行声音信号、以及FB麦克风采集到的第四声音信号得到第二声学传递路径，利用FF麦克风采集的第三声音信号、FB麦克风采集到的第四声音信号、以及扬声器输出的下行声音信号，得到第三声学传递路径。
其中，该贴合度检测的方法可以参见S403所示的步骤中的描述，在此不再赘述。
本申请实施例中，该第二声学传递路径由于指示扬声器到FB麦克风之间的声学路径，或理解为扬声器发出的声音到人耳的声学路径，该第二声学传递路径也可以称为：次级声学路径、或第二传递函数等；该第三声学传递路径由于指示FB麦克风与耳道深处鼓膜参考点(ear-drum reference point，DRP)之间的声学路径，该第三声学传递路径也可以称为：第三传递函数。
如图11所示，第二声学传递路径可以为G A(s)；该第三声学传递路径可以为E A(s)。可以理解的是，耳机可以基于预设的神经网络模型或其他方法等，确定第二声学传递路径。例如耳机可以基于预设的耳机-耳道声学模型等，确定第三声学传递路径，本申请实施例中对此不做限定。可以理解的是，得到第一声学传递路径、第二声学传递路径以及第三声学传递路径的方法均不同。
可以理解的是，若两侧耳机的贴合度检测结果均表征贴合度良好的情况下，则耳机会执行S1004所示的步骤，继续进行耳机的降噪参数的获取步骤。
S1004、在两侧耳机的贴合度检测结果均表征贴合度良好的情况下，耳机利用第一声学传递路径、第二声学传递路径、和/或第三声学传递路径，计算得到目标降噪参数。
一种实现中，耳机中也可以设置有多组降噪参数，使得耳机可以利用第一声学传递路径、第二声学传递路径、和/或第三声学传递路径以及该多组降噪参数，计算该多组降噪参数分别对应的降噪量，并基于多个降噪量确定最优的目标降噪参数。
例如，耳机可以将第一声学传递路径、第二声学传递路径、和/或第三声学传递路径、FF麦克风采集到的第一声音信号以及FB麦克风采集到的第二声音信号输入至预设的神经网络模型中，计算不同降噪参数对应的降噪量，并输出降噪效果最好时对应的降噪参数，得到目标降噪参数。
可以理解的是，该多组降噪参数可以为与耳道特征无关(或相关)的降噪参数。在神经网络模型中，即使降噪参数与耳道特征无关，耳机也可以基于实时计算得到的多个声学传递路径，计算出当前场景下与耳道特征最为相关的目标降噪参数。
另一种实现中，耳机中可以设置有一组降噪参数，使得耳机可以利用第一声学传递路径、第二声学传递路径、和/或第三声学传递路径获取降噪量，并基于该降噪量对该一组降噪参数进行自适应调节，使得耳机可以得降噪效果较好的目标降噪参数。
示例性的，图12为本申请实施例提供的一种自适应调节的原理示意图。如图12所示，x可以为环境声音，x′可以为经过G′ A(s)估计的得到的信号值，W FF可以为前馈控制器(包含一组降噪参数)，e可以为x经过P A(s)得到的信号与x经过W FF降噪以及G A(s)后得到的信号之间的差值。耳机可以利用x′、e以及E A(s)，对前馈控制器中的降噪参数进行自适应调节，使得耳机可以输出降噪效果最好的目标降噪参数。
S1005、耳机向手机发送检测适配结果。其中，检测适配结果用于表征耳机的贴合度良好，且已完成适配降噪参数。
基于此，耳机可以通过获取的语音信号实时计算声学传递路径，并基于声学传递路径估计出目标降噪参数，进而基于目标降噪参数得到较好的降噪效果。
在图4以及图10对应的实施例的基础上，本申请实施例中描述的降噪参数适配方法不仅可以在耳机中实现；或者本申请实施例中描述的降噪参数适配方法也可以与耳机连接的电子设备中实现，即耳机可以将在不同时间段内获取的声音信号发送至电子设备，使得电子设备基于该耳机发送的声音信号执行本申请实施例中描述的降噪参数适配方法，进而将适配得到的目标降噪参数发送至耳机。
可以理解的是，本申请实施例中描述的界面仅作为一种示例，并不能构成对本申请实施例的限定。
上述主要从方法的角度对本申请实施例提供的方案进行了介绍。为了实现上述功能，其包含了执行各个功能相应的硬件结构和/或软件模块。本领域技术人员应该很容易意识到，结合本文中所公开的实施例描述的各示例的方法步骤，本申请能够以硬件或硬件和计算机软件的结合形式来实现。某个功能究竟以硬件还是计算机软件驱动硬件的方式来执行，取决于技术方案的特定应用和设计约束条件。专业技术人员可以对每个特定的应用来使用不同方法来实现所描述的功能，但是这种实现不应认为超出本申请的范围。
本申请实施例可以根据上述方法示例对实现降噪参数适配方法的电子设备进行功能模块的划分，例如可以对应各个功能划分各个功能模块，也可以将两个或两个以上的功能集成在一个处理模块中。上述集成的模块既可以采用硬件的形式实现，也可以采用软件功能模块的形式实现。需要说明的是，本申请实施例中对模块的划分是示意性的，仅仅为一种逻辑功能划分，实际实现时可以有另外的划分方式。
如图13所示为本申请实施例提供的一种耳机的结构示意图，图13所示的耳机1300包括处理模块1301；处理模块1301，用于获取环境声音信号；处理模块1301，用于确定环境声音信号在预设的多组降噪参数下分别对应的降噪量，得到多个降噪量；其中，多组降噪参数为多个耳道特征分别对应的降噪参数；处理模块1301，还用于从多个降噪量中确定目标降噪量；处理模块1301，还用于利用目标降噪量对应的目标降噪参数进行降噪处理。
可选的，耳机1300还包括通信模块1302，通信模块1302用于与电子设备建立通信连接，实现数据的发送和接收步骤。其中，该通信模块1302可以是接口或接口电路。
如图14所示为本申请实施例提供的一种芯片的结构示意图。芯片1400包括一个或两个以上(包括两个)处理器1401、通信线路1402和通信接口1403，可选的，芯片1400还包括存储器1404。
在一些实施方式中，存储器1404存储了如下的元素：可执行模块或者数据结构，或者他们的子集，或者他们的扩展集。
上述本申请实施例描述的方法可以应用于处理器1401中，或者由处理器1401实现。处理器1401可能是一种集成电路芯片，具有信号的处理能力。在实现过程中，上述方法的各步骤可以通过处理器1401中的硬件的集成逻辑电路或者软件形式的指令完成。上述的处理器1401可以是通用处理器(例如，微处理器或常规处理器)、数字信号处理器(digital signal processing，DSP)、专用集成电路(application specific integrated circuit，ASIC)、现成可编程门阵列(field-programmable gate array，FPGA)或者其他可编程逻辑器件、分立门、晶体管逻辑器件或分立硬件组件，处理器1401可以实现或者执行本申请实施例中的公开的各方法、步骤及逻辑框图。
结合本申请实施例所公开的方法的步骤可以直接体现为硬件译码处理器执行完成，或者用译码处理器中的硬件及软件模块组合执行完成。其中，软件模块可以位于随机存储器、只读存储器、可编程只读存储器或带电可擦写可编程存储器(electrically erasable programmable read only memory，EEPROM)等本领域成熟的存储介质中。该存储介质位于存储器1404，处理器1401读取存储器1404中的信息，结合其硬件完成上述方法的步骤。
处理器1401、存储器1404以及通信接口1403之间可以通过通信线路1402进行通信。
在上述实施例中，存储器存储的供处理器执行的指令可以以计算机程序产品的形式实现。其中，计算机程序产品可以是事先写入在存储器中，也可以是以软件形式下载并安装在存储器中。
本申请实施例还提供一种计算机程序产品包括一个或多个计算机指令。在计算机上加载和执行计算机程序指令时，全部或部分地产生按照本申请实施例的流程或功能。 计算机可以是通用计算机、专用计算机、计算机网络或者其他可编程装置。计算机指令可以存储在计算机可读存储介质中，或者从一个计算机可读存储介质向另一计算机可读存储介质传输，例如，计算机指令可以从一个网站站点、计算机、服务器或数据中心通过有线(例如同轴电缆、光纤、数字用户线(digital subscriber line，DSL)或无线(例如红外、无线、微波等)方式向另一个网站站点、计算机、服务器或数据中心进行传输。计算机可读存储介质可以是计算机能够存储的任何可用介质或者是包括一个或多个可用介质集成的服务器、数据中心等数据存储设备。例如，可用介质可以包括磁性介质(例如，软盘、硬盘或磁带)、光介质(例如，数字通用光盘(digital versatile disc，DVD))、或者半导体介质(例如，固态硬盘(solid state disk，SSD))等。
本申请实施例提供一种电子设备，该电子设备可以执行上述任一种降噪参数适配方法。
本申请实施例还提供一种计算机可读存储介质。上述实施例中描述的方法可以全部或部分地通过软件、硬件、固件或者其任意组合来实现。计算机可读介质可以包括计算机存储介质和通信介质，还可以包括任何可以将计算机程序从一个地方传送到另一个地方的介质。存储介质可以是可由计算机访问的任何目标介质。
作为一种可能的设计，计算机可读介质可以包括紧凑型光盘只读储存器(compact disc read-only memory，CD-ROM)、RAM、ROM、EEPROM或其它光盘存储器；计算机可读介质可以包括磁盘存储器或其它磁盘存储设备。而且，任何连接线也可以被适当地称为计算机可读介质。例如，如果使用同轴电缆，光纤电缆，双绞线，DSL或无线技术(如红外，无线电和微波)从网站，服务器或其它远程源传输软件，则同轴电缆，光纤电缆，双绞线，DSL或诸如红外，无线电和微波之类的无线技术包括在介质的定义中。如本文所使用的磁盘和光盘包括光盘(CD)，激光盘，光盘，数字通用光盘(digital versatile disc，DVD)，软盘和蓝光盘，其中磁盘通常以磁性方式再现数据，而光盘利用激光光学地再现数据。
上述的组合也应包括在计算机可读介质的范围内。以上，仅为本申请的具体实施方式，但本申请的保护范围并不局限于此，任何熟悉本技术领域的技术人员在本申请揭露的技术范围内，可轻易想到变化或替换，都应涵盖在本申请的保护范围之内。因此，本申请的保护范围应以权利要求的保护范围为准。

Claims (13)

  1. 一种降噪参数适配方法，其特征在于，所述方法包括：
    第一电子设备获取环境声音信号；
    所述第一电子设备确定所述环境声音信号在预设的多组降噪参数下分别对应的降噪量，得到多个降噪量；其中，所述多组降噪参数为多个耳道特征分别对应的降噪参数；
    所述第一电子设备从所述多个降噪量中确定目标降噪量；
    所述第一电子设备利用所述目标降噪量对应的目标降噪参数进行降噪处理。
  2. 根据权利要求1所述的方法，其特征在于，所述第一电子设备获取环境声音信号，包括：
    所述第一电子设备接收到来自第二电子设备的第一指示信息；所述第一指示信息用于指示对所述第一电子设备进行降噪参数适配以及对耳塞进行贴合度检测；
    响应于所述第一指示信息，所述第一电子设备获取所述环境声音信号。
  3. 根据权利要求2所述的方法，其特征在于，所述方法还包括：
    所述第一电子设备对所述耳塞进行贴合度检测；
    所述第一电子设备获取环境声音信号，包括：在所述第一电子设备确定所述耳塞贴合度检测通过的情况下，所述第一电子设备获取所述环境声音信号。
  4. 根据权利要求2所述的方法，其特征在于，所述多组降噪参数包括：第一组降噪参数以及第二组降噪参数，所述环境声音信号包括：第一环境声音信号以及第二环境声音信号，所述多个降噪量包括第一降噪量以及第二降噪量；所述第一电子设备确定所述环境声音信号在预设的多组降噪参数下分别对应的降噪量，得到多个降噪量，包括：
    所述第一电子设备确定所述第一环境声音信号在所述第一组降噪参数下的降噪量，得到所述第一降噪量；
    所述第一电子设备确定所述第二环境声音信号在所述第二组降噪参数下的降噪量，得到所述第二降噪量。
  5. 根据权利要求4所述的方法，其特征在于，所述第一电子设备确定所述第一环境声音信号在所述第一组降噪参数下的降噪量，得到所述第一降噪量之后，所述方法还包括：
    所述第一电子设备对所述耳塞进行贴合度检测；
    所述第一电子设备确定所述第二环境声音信号在所述第二组降噪参数下的降噪量，得到所述第二降噪量，包括：在所述第一电子设备确定所述耳塞贴合度检测通过的情况下，所述第一电子设备确定所述第二环境声音信号在所述第二组降噪参数下的降噪量，得到所述第二降噪量。
  6. 根据权利要求2或5所述的方法，其特征在于，所述第一电子设备为耳机，所述耳机包括前馈麦克风以及后馈麦克风，所述第一电子设备对所述耳塞进行贴合度检测，包括：
    所述第一电子设备播放预置音频；
    所述第一电子设备利用所述前馈麦克风采集所述预置音频对应的第三声音信号， 以及利用所述后馈麦克风采集所述预置音频对应的第四声音信号；
    所述第一电子设备利用所述第三声音信号对所述第四声音信号进行噪声抑制处理，得到目标声音信号；
    所述第一电子设备基于所述第三声音信号以及所述目标声音信号，得到声音变化量；
    所述第一电子设备基于所述声音变化量对所述耳塞进行贴合度检测；其中，所述耳塞贴合度检测通过，包括：所述声音变化量小于预设阈值。
  7. 根据权利要求6所述的方法，其特征在于，所述耳机还包括：扬声器，所述第一电子设备确定所述环境声音信号在预设的多组降噪参数下分别对应的降噪量，得到多个降噪量，包括：
    所述第一电子设备基于第一传递函数、第二传递函数和/或第三传递函数，确定所述环境声音信号在所述预设的多组降噪参数下分别对应的降噪量，得到所述多个降噪量；
    其中，所述第一传递函数用于指示从所述前馈麦克风到所述后馈麦克风之间声音的传递路径，所述第二传递函数用于指示从所述扬声器到所述后馈麦克风之间声音的传递路径，所述第三传递函数用于指示从所述后馈麦克风到耳道深处骨膜参考点之间声音的传递路径。
  8. 根据权利要求6或7所述的方法，其特征在于，所述多组降噪参数中的任一组降噪参数中包括：用于对所述前馈麦克风中采集的声音信号进行降噪的降噪参数、和/或用于对所述后馈麦克风中采集的声音信号进行降噪的降噪参数。
  9. 根据权利要求2-8任一项所述的方法，其特征在于，所述第一电子设备利用所述目标降噪量对应的目标降噪参数进行降噪处理之后，所述方法还包括：
    所述第一电子设备向所述第二电子设备发送第二指示信息；其中，所述第二指示信息用于指示所述第二电子设备显示提示信息；所述提示信息用于提示所述第一电子设备完成所述降噪参数适配。
  10. 根据权利要求1所述的方法，其特征在于，所述目标降噪量为所述多个降噪量中满足预设带宽范围、预设低频反弹范围和/或预设高频反弹范围的降噪量。
  11. 根据权利要求1所述的方法，其特征在于，所述环境声音信号的声音强度大于第一阈值，且所述环境声音信号的声音强度小于第二阈值。
  12. 一种电子设备，包括存储器、处理器以及存储在所述存储器中并可在所述处理器上运行的计算机程序，其特征在于，所述处理器执行所述计算机程序时，使得所述电子设备执行如权利要求1-11中任一项所述的方法。
  13. 一种计算机可读存储介质，所述计算机可读存储介质存储有计算机程序，其特征在于，所述计算机程序被处理器执行时，使得计算机执行如权利要求1-11中任一项所述的方法。
PCT/CN2023/071385 2022-02-28 2023-01-09 降噪参数适配方法和装置 WO2023160286A1 (zh)

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CN113299264A (zh) * 2021-05-21 2021-08-24 北京安声浩朗科技有限公司 主动降噪方法、装置、耳机、可读存储介质及电子设备
WO2021227696A1 (zh) * 2020-05-14 2021-11-18 华为技术有限公司 一种主动降噪方法及装置
CN113676804A (zh) * 2020-05-14 2021-11-19 华为技术有限公司 一种主动降噪方法及装置
CN113891205A (zh) * 2021-09-18 2022-01-04 恒玄科技(上海)股份有限公司 一种补偿耳机泄漏的主动降噪方法、装置及耳机
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