CN117376800A - Signal processing method, hearing aid device, and computer-readable storage medium - Google Patents
Signal processing method, hearing aid device, and computer-readable storage medium Download PDFInfo
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- 238000003672 processing method Methods 0.000 title claims abstract description 13
- 238000012074 hearing test Methods 0.000 claims abstract description 50
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- 238000000034 method Methods 0.000 claims abstract description 39
- 230000008447 perception Effects 0.000 claims abstract description 35
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- 238000012360 testing method Methods 0.000 claims description 42
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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
- H04R25/00—Deaf-aid sets, i.e. electro-acoustic or electro-mechanical hearing aids; Electric tinnitus maskers providing an auditory perception
- H04R25/50—Customised settings for obtaining desired overall acoustical characteristics
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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
- H04R2225/00—Details of deaf aids covered by H04R25/00, not provided for in any of its subgroups
- H04R2225/43—Signal processing in hearing aids to enhance the speech intelligibility
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Abstract
The embodiment of the application discloses a signal processing method, hearing aid equipment and a computer readable storage medium, which are applied to the hearing aid equipment, wherein the method comprises the following steps: performing pure-tone hearing test on a target object by adopting a key frequency band to obtain a first hearing threshold; acquiring the time domain resolution and the frequency domain resolution of the target object; acquiring an environmental audio signal of the pure-tone hearing test; acquiring a loudness perception curve of the key frequency band; the first hearing threshold is modified according to the environment audio signal, the loudness perception curve, the time domain resolution and the frequency domain resolution, and a second hearing threshold is obtained; and performing fitting operation on the hearing aid equipment according to the second hearing threshold.
Description
Technical Field
The present application relates to the technical field of hearing assistance devices, and in particular, to a signal processing method, a hearing assistance device, and a computer readable storage medium.
Background
In practical applications, professional hearing aid fitting equipment is generally used for assisting a hearing impaired person in fitting a fitted hearing aid according to the hearing loss condition of the hearing impaired person and the self-requirements of the hearing impaired person, so as to achieve better hearing aid effect.
During hearing aid testing, the hearing test of a user is aimed at, and corresponding hearing compensation meaning is carried out according to the result based on the hearing test, but currently, the current hearing test is simpler and coarser, so that the result reliability of the hearing test is lower, and the hearing aid testing and matching accuracy is lower, so that the problem of how to improve the hearing aid testing and matching accuracy is urgently solved.
Disclosure of Invention
The embodiment of the application provides a signal processing method, hearing aid equipment and a computer readable storage medium, which can ensure hearing test accuracy so as to improve hearing aid fitting accuracy.
In a first aspect, an embodiment of the present application provides a signal processing method, which is applied to a hearing device, including:
performing pure-tone hearing test on a target object by adopting a key frequency band to obtain a first hearing threshold;
acquiring the time domain resolution and the frequency domain resolution of the target object;
acquiring an environmental audio signal of the pure-tone hearing test;
acquiring a loudness perception curve of the key frequency band;
the first hearing threshold is modified according to the environment audio signal, the loudness perception curve, the time domain resolution and the frequency domain resolution, and a second hearing threshold is obtained;
And performing fitting operation on the hearing aid equipment according to the second hearing threshold.
In a second aspect, an embodiment of the present application provides a signal processing apparatus, applied to a hearing device, including: the device comprises an audiometric unit, a first acquisition unit, a second acquisition unit, a third acquisition unit, a correction unit and a verification unit, wherein,
the audiometric unit is used for performing pure-tone hearing test on the target object by adopting a key frequency band to obtain a first hearing threshold;
the first acquisition unit is used for acquiring the time domain resolution and the frequency domain resolution of the target object;
the second acquisition unit is used for acquiring the environment audio signal of the pure-tone hearing test;
the third obtaining unit is used for obtaining the loudness perception curve of the key frequency band;
the correction unit is used for correcting the first hearing threshold according to the environment audio signal, the loudness perception curve, the time domain resolution and the frequency domain resolution to obtain a second hearing threshold;
the fitting unit is used for performing fitting operation on the hearing aid equipment according to the second hearing threshold.
In a third aspect, embodiments of the present application provide a hearing assistance device comprising a processor, a memory, a communication interface, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the processor, the programs comprising instructions for performing the steps in the first aspect of embodiments of the present application.
In a fourth aspect, embodiments of the present application provide a computer-readable storage medium, where the computer-readable storage medium stores a computer program for electronic data exchange, where the computer program causes a computer to perform some or all of the steps as described in the first aspect of the embodiments of the present application.
By adopting the embodiment of the application, the method has the following beneficial effects:
in the embodiment of the application, a key frequency band is adopted to perform pure-tone hearing test on a target object to obtain a first hearing threshold, the time domain resolution and the frequency domain resolution of the target object are obtained, the environment audio signal of the pure-tone hearing test is obtained, the loudness perception curve of the key frequency band is obtained, the first hearing threshold is modified according to the environment audio signal, the loudness perception curve, the time domain resolution and the frequency domain resolution to obtain a second hearing threshold, the hearing-aid equipment is subjected to fitting operation according to the second hearing threshold, and the actual hearing result, namely the first hearing threshold, is modified based on the hearing environment due to the influence of the hearing environment, so that the modified hearing result meets the actual condition better, and further, the hearing-aid equipment is subjected to verification operation according to the second hearing threshold, so that the hearing test accuracy can be ensured, and the hearing-aid fitting accuracy is improved.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic structural diagram of a hearing aid device according to an embodiment of the present application;
fig. 2 is a schematic flow chart of a signal processing method according to an embodiment of the present application;
fig. 3 is a schematic flow chart of another signal processing method according to an embodiment of the present application;
fig. 4 is a flow chart of yet another signal processing method according to an embodiment of the present application;
fig. 5 is a block diagram of functional units of a signal processing apparatus according to an embodiment of the present application.
Detailed Description
The following will describe in detail.
The terms "first," "second," "third," and "fourth" and the like in the description and in the claims and drawings are used for distinguishing between different objects and not necessarily for describing a particular sequential or chronological order. Furthermore, the terms "comprise" and "have," as well as any variations thereof, are intended to cover a non-exclusive inclusion. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those listed steps or elements but may include other steps or elements not listed or inherent to such process, method, article, or apparatus.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment may be included in at least one embodiment of the invention. The appearances of such phrases in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those of skill in the art will explicitly and implicitly appreciate that the embodiments described herein may be combined with other embodiments.
"plurality" means two or more. "and/or", describes an association relationship of an association object, and indicates that there may be three relationships, for example, a and/or B, and may indicate: a exists alone, A and B exist together, and B exists alone. The character "/" generally indicates that the context-dependent object is an "or" relationship.
In an embodiment of the present application, the hearing assistance device may include at least one of: hearing aid fitting devices, hearing aids, hearing aid devices, etc., are not limited herein.
In the embodiment of the application, MPO refers to the maximum sound output limit of the hearing aid device, and is the control of the maximum sound output capability of the hearing aid device.
In this embodiment, the loudness perception curve is a type of hearing characteristic of the user, and is used to represent subjective evaluation of the loudness of different sound pressure levels (pure tones) by the user (for example, for a pure tone of 70dB HL, for example, a key frequency band of 1000Hz, the subjective loudness of the user a may be "weak" and the subjective loudness of the user B may be "strong".
In this embodiment, the frequency domain resolution may be understood as a correlation between the decentration distance of the critical frequency band and the equal-loudness masking threshold of the corresponding band-stop filter, for example, taking the critical frequency band of 1000Hz as an example, the decentration distance is 10%, and the equal-loudness masking threshold is 40dB HL.
In this embodiment, the time domain resolution may be understood as a break-time perception threshold of narrow break-band noise corresponding to a critical frequency band, for example, taking a critical frequency band of 1000Hz as an example, the corresponding break-time perception threshold may be 10ms.
In this embodiment of the present application, the compression ratio, that is, the change required for increasing the input signal by one db, is expressed as input/output, that is, it is understood that the ratio of the dynamic range of the audio signal before compression to the dynamic range after compression is generally greater than 1, and the greater the value thereof, the smaller the gain obtained by representing the high volume input, specifically, if the compression ratio is equal to 1:1, the linear amplification is meant, and if the compression ratio is less than 1 (usually when the input volume is low), the (low sound level) expansion is meant. In practical applications, the compression technique is a selective sound amplification method, and the application of the compression technique to the hearing aid can relieve the problem of the re-vibration of the patient with impaired sensory nerves, so that the hearing aid can be used more comfortably in different noise environments. By way of illustration, through the compression technology of the hearing aid device, the user can adjust the amplification factors of input sounds with different intensities according to own preference, and then, the amplification factors of slight and tiny sounds are increased, so that the user can hear details of the sounds clearly, and meanwhile, the amplification factors of high-volume noise are suppressed, and the comfort of the user using the hearing aid device is improved.
Embodiments of the present application are described below with reference to the accompanying drawings.
First, a system architecture of a hearing aid device according to an embodiment of the present application will be described.
The present application also provides a hearing aid device 100, as shown in fig. 1, comprising at least one processor 110 and a memory 120, and may further comprise a communication interface 140 and a bus 130. Wherein the processor 110, the memory 120, and the communication interface 140 may communicate with each other via the bus 130. The communication interface 140 may transmit information. The processor 110 may invoke logic instructions in the memory 120 to perform the methods in embodiments of the present application.
Further, the logic instructions in the memory 120 described above may be implemented in the form of software functional units and may be stored in a computer readable storage medium when sold or used as a stand alone product.
The memory 120, as a computer-readable storage medium, may be configured to store a software program, a computer-executable program, such as program instructions or units corresponding to the methods in the embodiments of the present disclosure. The processor 110 executes functional applications and data processing, i.e. implements the methods of the embodiments described above, by running software programs, instructions or units stored in the memory 120.
Memory 120 may include a storage program area that may store an operating system, at least one application program required for functionality, and a storage data area; the storage data area may store data created according to the use of the hearing aid device 100, or the like. In addition, the memory 120 may include a high-speed random access memory, and may also include a nonvolatile memory. For example, a plurality of media capable of storing program codes, such as a usb disk, a removable hard disk, a read-only memory, a random access memory, a magnetic disk, or an optical disk, may be a transitory storage medium.
Based on the hearing aid device, the signal processing method provided by the following can be realized, and the method specifically comprises the following steps:
performing pure-tone hearing test on a target object by adopting a key frequency band to obtain a first hearing threshold;
acquiring the time domain resolution and the frequency domain resolution of the target object;
acquiring an environmental audio signal of the pure-tone hearing test;
acquiring a loudness perception curve of the key frequency band;
the first hearing threshold is modified according to the environment audio signal, the loudness perception curve, the time domain resolution and the frequency domain resolution, and a second hearing threshold is obtained;
and performing fitting operation on the hearing aid equipment according to the second hearing threshold.
In the embodiment of the application, a key frequency band is adopted to perform pure-tone hearing test on a target object to obtain a first hearing threshold, the time domain resolution and the frequency domain resolution of the target object are obtained, the environment audio signal of the pure-tone hearing test is obtained, the loudness perception curve of the key frequency band is obtained, the first hearing threshold is modified according to the environment audio signal, the loudness perception curve, the time domain resolution and the frequency domain resolution to obtain a second hearing threshold, the hearing-aid equipment is subjected to fitting operation according to the second hearing threshold, and the actual hearing result, namely the first hearing threshold, is modified based on the hearing environment due to the influence of the hearing environment, so that the modified hearing result meets the actual condition better, and further, the hearing-aid equipment is subjected to verification operation according to the second hearing threshold, so that the hearing test accuracy can be ensured, and the hearing-aid fitting accuracy is improved.
Referring to fig. 2, fig. 2 is a schematic flow chart of a signal processing method according to an embodiment of the present application, as shown in the drawing, applied to a hearing device, the signal processing method may include the following steps 201 to 206, where:
201. and performing pure-tone hearing test on the user by adopting the key frequency band to obtain a first hearing threshold.
202. And acquiring the time domain resolution and the frequency domain resolution of the target object.
203. And acquiring the environment audio signal of the pure-tone hearing test.
204. And acquiring a loudness perception curve of the key frequency band.
205. And correcting the first hearing threshold according to the environment audio signal, the loudness perception curve, the time domain resolution and the frequency domain resolution to obtain a second hearing threshold.
206. And performing fitting operation on the hearing aid equipment according to the second hearing threshold.
In the embodiment of the application, compared with the existing pure-tone audiometry, the method increases the tests of a) loudness perception, b) frequency domain resolution and c) time domain resolution of a user, meanwhile, the acoustic environment during audiometry is analyzed, compared with the traditional silence room audiometry, the acoustic environment is changed from the control (during audiometry) acoustic environment to the analysis acoustic environment, and the audiometry result is corrected according to the analysis result, so that the corrected hearing threshold is more in line with the actual environment, and the accuracy of the test and the matching of hearing-aid equipment is improved.
The order of steps 202-204 is not limited, and may be random, or may be based on user settings or system defaults.
In this embodiment of the present application, the critical frequency band may include one or more frequency bands, and the critical frequency band may be preset, for example, the critical frequency band is set based on experience. In a specific implementation, a pure tone hearing test can be performed on a user by adopting a specified standard and a key frequency band to obtain a first hearing threshold. The first hearing threshold may also correspond to a corresponding audiogram. The target object may be a designated user, and may be understood as a user who needs to perform a hearing aid test, or may be understood as a user who needs to perform a pure tone hearing test.
Wherein the first threshold may comprise at least one of: audiogram, audiogram (specific numerical values), and the like, without limitation. The second threshold may include at least one of: audiogram, audiogram (specific numerical values), and the like, without limitation.
Wherein, the specified standard can be preset. The specification criteria may include at least one of: ISO (2006) 168332:2006, ISO (2010) 8253:2010, and the like, without limitation herein. For example, a pure tone hearing test may be performed on critical bands based on ISO (2010) 8253:2010.
The time domain resolution and the frequency domain resolution of the target object are related to the personal characteristics, namely the time domain resolution and the frequency domain resolution are the personal characteristics of the user, and the measurement result is also influenced by the measurement environment. That is, in a specific implementation, the time domain resolution and the frequency domain resolution of the target object in the current environment can be obtained.
In the embodiment of the application, in the pure-tone hearing test process, the calibrated microphone may be used to synchronously collect the environmental audio signal, or the calibrated microphone may also be used to asynchronously collect the environmental audio signal. In practical applications, some noise exists in the environment, so that the measurement result is corrected based on the characteristics of the noise, and the corrected result is more accurate. The calibrated microphone may be pre-calibrated prior to performing step 201.
Furthermore, the method can provide more accurate evaluation results aiming at the time-frequency domain characteristics of noise in different environments, and plays a role in expanding the audiometric environment.
In practical application, a loudness sensing curve of a key frequency band can be obtained, namely, the loudness sensing curve can be obtained in the pure-tone hearing test process.
In a specific implementation, the loudness sensing curve may also be obtained based on big data statistics, for example, different sexes may correspond to different loudness sensing curves, for example, different age groups may correspond to different loudness sensing curves, for example, different professions may correspond to different loudness sensing curves, for example, different health states may correspond to different loudness sensing curves. In the hearing test process, the loudness sensing curve can be directly measured, the loudness sensing curve is obtained based on big data, and one or more of the conditions are fused with the loudness sensing curve to obtain the loudness sensing curve in the application.
In the embodiment of the application, the first hearing threshold can be modified according to the environmental audio signal, the time domain resolution, the frequency domain resolution and the loudness perception curve to obtain the second hearing threshold, and the actual hearing measurement result is modified by considering the hearing measurement environment, so that the modified hearing measurement result is more in line with the actual situation, thereby ensuring the hearing test accuracy and improving the hearing aid test and allocation accuracy.
In the embodiment of the application, a key frequency band is adopted to perform pure-tone hearing test on a target object to obtain a first hearing threshold, the time domain resolution and the frequency domain resolution of the target object are obtained, the environment audio signal of the pure-tone hearing test is obtained, the loudness perception curve of the key frequency band is obtained, the first hearing threshold is modified according to the environment audio signal, the loudness perception curve, the time domain resolution and the frequency domain resolution to obtain a second hearing threshold, the hearing-aid equipment is subjected to fitting operation according to the second hearing threshold, and the actual hearing result, namely the first hearing threshold, is modified based on the hearing environment due to the influence of the hearing environment, so that the modified hearing result meets the actual condition better, and further, the hearing-aid equipment is subjected to verification operation according to the second hearing threshold, so that the hearing test accuracy can be ensured, and the hearing-aid fitting accuracy is improved.
In one possible example, the step 205 of modifying the first hearing threshold according to the environmental audio signal, the loudness sensing curve, the time domain resolution, and the frequency domain resolution to obtain a second hearing threshold includes the steps of:
determining the gain factor from the first threshold; determining a compression ratio according to the gain coefficient, the time domain resolution, the frequency domain resolution and the loudness perception curve; and carrying out parameter adjustment on the first hearing threshold according to the compression ratio and the environmental audio signal to obtain the second hearing threshold.
In this embodiment of the present application, a mapping relationship between a preset hearing threshold and a gain coefficient may be stored in advance, and further, a gain coefficient corresponding to the first hearing threshold may be determined based on the mapping relationship.
Further, since the gain coefficient, the time domain resolution, the frequency domain resolution and the loudness perception curve are known, the ratio of the dynamic range of the audio signal of the pure-tone hearing test before compression to the dynamic range after compression can be determined, and the corresponding compression ratio can be obtained based on the gain coefficient, the time domain resolution, the frequency domain resolution and the loudness perception curve.
Furthermore, the parameters of the first hearing threshold can be adjusted according to the compression ratio and the environmental audio signal to obtain the second hearing threshold, and the actual hearing measurement result is corrected by considering the hearing measurement environment, so that the corrected hearing measurement result is more in line with the actual situation, thereby ensuring the hearing test accuracy and improving the hearing aid test and matching accuracy.
In one possible example, the above step, performing parameter adjustment on the first hearing threshold according to the compression ratio and the environmental audio signal to obtain the second hearing threshold, includes the following steps:
determining a noise volume and a test volume according to the environmental audio signal; determining a signal to noise ratio according to the noise volume and the test volume; and carrying out parameter adjustment on the first hearing threshold according to the signal-to-noise ratio, the noise volume and the compression ratio to obtain the second hearing threshold.
In this embodiment of the present application, considering that the environments are different, the measurement result of the hearing threshold is also changed, so that an environmental corresponding audio signal, that is, an environmental audio signal, may be collected, then the noise volume and the test volume are determined according to the environmental audio signal, the signal-to-noise ratio is calculated by using the noise volume and the test volume, that is, the signal-to-noise ratio=test volume/noise volume, and then the parameter adjustment is performed on the first hearing threshold according to the signal-to-noise ratio, the noise volume and the compression ratio according to the following formula, so as to obtain the second hearing threshold, which is specifically as follows:
where N represents the noise volume, T2 represents the second threshold, T1 represents the first threshold, and SNR represents the signal-to-noise ratio. k is a constant, k is larger than 1, k is related to compression ratios, and k corresponding to different compression ratios is different.
In a specific implementation, the initial value of k may be set to 10, and a mapping relationship between a preset compression ratio and an optimization coefficient may be stored in advance, and further, an optimization coefficient corresponding to an actual compression ratio may be determined based on the mapping relationship, which is specifically as follows: k2 =k1× (1+w), where k2 represents the constant after optimization, k1 represents the constant before optimization, and w represents the optimization coefficient, and the value range of the optimization coefficient may be preset, for example, the optimization coefficient is between-0.25 and 0.25.
Further, the frequency domain resolution may also be modified by the following formula, which is specifically as follows:
wherein ERB represents frequency domain resolution, f represents a central frequency band in a key frequency band, N represents noise volume, S represents test volume, T2 represents a second hearing threshold, a, b, c are constants, which can be preset or default, in specific implementation, a, b, c can be empirical values, for example, a, b, c can be obtained by big data analysis.
k is a constant, k is larger than 1, k is related to compression ratios, and k corresponding to different compression ratios is different.
Further, the compression ratio can be determined again when the frequency domain resolution is updated, the hearing threshold can be corrected again, and the like, different correction results can be obtained, the latest correction result can be used for completing the test, and the test can be completed based on the average value of the correction results.
Of course, in practical application, the MPO of the hearing aid device may also be calculated, and on the basis of guaranteeing the MPO, the compression ratio is calculated, and since the MPO, the gain coefficient, the time domain resolution, the frequency domain resolution and the loudness sensing curve are known, the ratio of the dynamic range of the audio signal of the pure-tone hearing test before compression to the dynamic range after compression may be determined, that is, the corresponding compression ratio may be obtained based on the MPO, the gain coefficient, the time domain resolution, the frequency domain resolution and the loudness sensing curve.
In one possible example, the first threshold comprises a first pure tone threshold of a left ear and a second pure tone threshold of a right ear of the target subject, further comprising the steps of:
determining an absolute value of a difference between the first pure tone threshold and the second pure tone threshold; when the absolute value is larger than a set value, the step of determining the gain coefficient according to the first hearing threshold comprises the following steps: smoothing the first hearing threshold to obtain a third hearing threshold; determining the gain factor from the third threshold; further, the step of performing parameter adjustment on the first hearing threshold according to the signal-to-noise ratio, the noise volume and the compression ratio to obtain the second hearing threshold may be implemented as follows: and carrying out parameter adjustment on the third hearing threshold according to the signal-to-noise ratio, the noise volume and the compression ratio to obtain the second hearing threshold.
Wherein, the set value can be preset, and the set value can be an empirical value.
In the embodiment of the application, the first pure tone threshold of the left ear of the target object and the second pure tone threshold of the right ear of the target object can be obtained through the first threshold, and the first pure tone threshold and the second pure tone threshold can be known in the pure tone hearing test process.
And then determining the absolute value of the difference between the first pure tone threshold and the second pure tone threshold, when the absolute value is larger than a set value, indicating that the difference between the two ears is larger, smoothing the first tone threshold to obtain a third tone threshold, determining a gain coefficient corresponding to the third tone threshold according to the mapping relation between the prestored preset tone threshold and the gain coefficient, and carrying out parameter adjustment on the third tone threshold according to the signal-to-noise ratio, the noise volume and the compression ratio to obtain the second tone threshold, wherein the specific formula can be referred to. Therefore, the hearing threshold difference between the two ears can be considered, the hearing threshold is smoothed, the hearing threshold difference between the two ears can be reduced after the hearing aid device is matched, and the user experience is improved.
Accordingly, a mapping relationship between a preset absolute value and a smoothing parameter may be preset, and the smoothing parameter may include at least one of the following: the smoothing algorithm, control parameters of the smoothing algorithm, etc., are not limited herein, and the control parameters of the smoothing algorithm are used to control the smoothing effect of the corresponding smoothing algorithm.
Then, a target smoothing parameter corresponding to the absolute value of the difference between the first pure tone threshold and the second pure tone threshold can be determined based on the mapping relation, and then the first tone threshold is smoothed based on the target smoothing parameter, so that the smoothing effect is closer to the actual situation, further, the difference of the tone thresholds between the two ears can be reduced after the hearing aid equipment is matched, and the user experience is improved.
In one possible example, the method further comprises the steps of:
and when the absolute value is smaller than or equal to the set value, the first hearing threshold is not subjected to smoothing processing, and the gain coefficient is directly determined according to the first hearing threshold.
In the embodiment of the application, when the absolute value is smaller than or equal to the set value, it is indicated that the difference of the hearing thresholds between the two ears is not very large, the first hearing threshold is not subjected to smoothing processing, but a gain coefficient is directly determined according to the first hearing threshold, a compression ratio is determined according to the gain coefficient, the time domain resolution, the frequency domain resolution and the loudness sensing curve, and parameter adjustment is performed on the first hearing threshold according to the compression ratio and the environmental audio signal to obtain the second hearing threshold.
In one possible example, a target algorithm is prestored in the hearing aid device, and the target algorithm includes an algorithm control parameter of the target algorithm; the step 206 of performing a fitting operation on the hearing assistance device according to the second hearing threshold may include the following steps:
Determining a target adjustment parameter according to the second hearing threshold; adjusting the algorithm control parameters according to the target adjustment parameters to obtain target algorithm control parameters; and controlling the hearing aid device to operate the target algorithm according to the target algorithm control parameter.
In the embodiment of the application, the target algorithm is prestored in the hearing-aid device, the target algorithm may include one or more algorithms, the target algorithm includes algorithm control parameters of the target algorithm, and the algorithm control parameters are used for controlling implementation effects, implementation rates and the like of the target algorithm. The target algorithm may include at least one of: noise reduction algorithms, howling prevention algorithms, directivity algorithms, and the like, are not limited herein. Different algorithms may correspond to different algorithm control parameters.
In this embodiment of the present application, a mapping relationship between a preset hearing threshold and an adjustment parameter may be stored in advance, and further, a target adjustment parameter of a second hearing threshold may be determined based on the mapping relationship, and an algorithm control parameter may be adjusted based on the target adjustment parameter to obtain a target algorithm control parameter, and further, the hearing assistance device is controlled to operate a target algorithm with the target algorithm control parameter. The method is equivalent to generating a refined gain coefficient by using a compression ratio, and then comprehensively adjusting parameters of each algorithm (including but not limited to noise reduction, howling prevention and directivity) by using a hearing evaluation result, namely a second hearing threshold, so that accurate compensation can be realized by using formula-based compensation, and the hearing test and matching accuracy is improved on the premise of ensuring the hearing test accuracy.
In one possible example, the step 206 of performing a fitting operation on the hearing assistance device according to the second hearing threshold may include the following steps:
determining a target threshold level corresponding to the second threshold; determining a target test recipe corresponding to the target threshold level; and carrying out parameter configuration on the hearing aid equipment according to the target verification scheme.
In this embodiment of the present application, a mapping relationship between a preset hearing threshold and a hearing threshold level may be stored in advance, and further, a target hearing threshold level corresponding to the second hearing threshold may be determined based on the mapping relationship, and different hearing threshold levels may correspond to different test schemes, that is, a mapping relationship between a preset hearing threshold level and a test scheme may be stored in advance, and based on the mapping relationship, a target test scheme corresponding to the target hearing threshold level may be determined, and then, parameter configuration may be performed on hearing equipment according to the target test scheme, that is, different test schemes are set for different hearing thresholds, which is equivalent to compensation based on classification.
For example, as shown in fig. 3, after starting, a hearing test may be performed to obtain an audiogram, and then an audiogram may be adjusted based on ambient noise to inquire whether a full hearing test is performed, if yes, a multi-threshold test is performed to obtain a multi-dimensional hearing threshold, and if yes, an accurate compensation is required, if yes, a compensation based on a formula is output, and if no, a compensation based on a classification is output.
If the result of inquiring whether the full hearing test is performed is negative, filling the result of the multi-threshold test through priori knowledge.
The multi-threshold test is understood to be a multi-dimensional hearing test. The multi-threshold test is multi-dimensional hearing assessment, including a time domain resolution test, a frequency domain resolution test, a loudness perception curve test and the like, so that more complete hearing information can be presented to a user, and a more reliable test matching reference can be provided for a later test matching step. In consideration of different controllable degrees of laboratories and real life, in the embodiment of the application, partial or all multi-threshold test results can be filled based on environment monitoring and priori knowledge of big data, and certain effectiveness can be reserved while the time required for testing is reduced.
Based on the hearing evaluation result and the classification algorithm, the method can be a compensation scheme of N-1, so that extreme conditions caused by hearing evaluation errors and differences (such as existing algorithms, hardware parameters and the like) among different compensation devices can be avoided, and the test scheme has stronger universality.
Therefore, the embodiment of the application can provide a audiometric and test-fit scheme with lower requirements on audiometric environment, audiometric personnel and auxiliary hearing equipment, so that users who are not subjected to professional training can have enough capacity to perform accurate hearing assessment and test-fit.
In practical application, parameters such as noise reduction, filtering, wide Dynamic Range Compression (WDRC) and the like in hearing aid equipment can be utilized, so that the gain curve of the hearing aid equipment and professional hearing aid equipment can reach the same precision, the language intelligibility is improved, and accurate compensation is performed; the compensation scheme of N1 can be realized based on the hearing threshold grade corresponding to the hearing evaluation result, so that the test scheme has stronger universality and the test efficiency is ensured.
For further illustration, as shown in fig. 4, after the start, an audiogram, a subjective loudness (i.e., a loudness sensing curve), a time and frequency resolution are obtained, the audiogram is smoothed, a target gain and MPO are calculated, and then a compression ratio calculation and a parameter adjustment are performed based on the gain, the MPO, the subjective loudness, the time and frequency resolution.
Fig. 5 is a functional unit block diagram of a signal processing apparatus 500 according to an embodiment of the present application. The signal processing apparatus 500 is applied to a hearing aid device, and the signal processing apparatus 500 includes: an audiometric unit 501, a first acquisition unit 502, a second acquisition unit 503, a third acquisition unit 504, a correction unit 505, and a fitting unit 506, wherein,
The audiometric unit 501 is configured to perform a pure-tone hearing test on a target object by using a key frequency band to obtain a first hearing threshold;
the first obtaining unit 502 is configured to obtain a time domain resolution and a frequency domain resolution of the target object;
the second obtaining unit 503 is configured to obtain an environmental audio signal of the pure-tone hearing test;
the third obtaining unit 504 is configured to obtain a loudness sensing curve of the key frequency band;
the modification unit 505 is configured to modify the first hearing threshold according to the environmental audio signal, the loudness sensing curve, the time domain resolution, and the frequency domain resolution, so as to obtain a second hearing threshold;
the fitting unit 506 is configured to perform a fitting operation on the hearing assistance device according to the second hearing threshold.
In the embodiment of the application, a key frequency band is adopted to perform pure-tone hearing test on a target object to obtain a first hearing threshold, the time domain resolution and the frequency domain resolution of the target object are obtained, the environment audio signal of the pure-tone hearing test is obtained, the loudness perception curve of the key frequency band is obtained, the first hearing threshold is modified according to the environment audio signal, the loudness perception curve, the time domain resolution and the frequency domain resolution to obtain a second hearing threshold, the hearing-aid equipment is subjected to fitting operation according to the second hearing threshold, and the actual hearing result, namely the first hearing threshold, is modified based on the hearing environment due to the influence of the hearing environment, so that the modified hearing result meets the actual condition better, and further, the hearing-aid equipment is subjected to verification operation according to the second hearing threshold, so that the hearing test accuracy can be ensured, and the hearing-aid fitting accuracy is improved.
In one possible example, in said modifying said first hearing threshold according to said environmental audio signal, said loudness perception curve, said time domain resolution and said frequency domain resolution, resulting in a second hearing threshold, said modifying unit 505 is specifically configured to:
determining the gain factor from the first threshold;
determining a compression ratio according to the gain coefficient, the time domain resolution, the frequency domain resolution and the loudness perception curve;
and carrying out parameter adjustment on the first hearing threshold according to the compression ratio and the environmental audio signal to obtain the second hearing threshold.
In one possible example, in said performing parameter adjustment on said first threshold according to said compression ratio and said environmental audio signal, to obtain said second threshold, said correction unit 505 is specifically configured to:
determining a noise volume and a test volume according to the environmental audio signal;
determining a signal to noise ratio according to the noise volume and the test volume;
and carrying out parameter adjustment on the first hearing threshold according to the signal-to-noise ratio, the noise volume and the compression ratio to obtain the second hearing threshold.
In one possible example, the first hearing threshold includes a first pure tone hearing threshold of a left ear and a second pure tone hearing threshold of a right ear of the target subject, and the signal processing apparatus 500 is further specifically configured to:
Determining an absolute value of a difference between the first pure tone threshold and the second pure tone threshold;
when the absolute value is greater than a set value, the correction unit 505 is specifically configured to:
smoothing the first hearing threshold to obtain a third hearing threshold;
determining the gain factor from the third threshold;
and performing parameter adjustment on the first hearing threshold according to the signal-to-noise ratio, the noise volume and the compression ratio to obtain the second hearing threshold, wherein the parameter adjustment comprises the following steps:
and carrying out parameter adjustment on the third hearing threshold according to the signal-to-noise ratio, the noise volume and the compression ratio to obtain the second hearing threshold.
In one possible example, the correction unit 505 is specifically configured to:
and when the absolute value is smaller than or equal to the set value, the first hearing threshold is not subjected to smoothing processing, and the gain coefficient is directly determined according to the first hearing threshold.
In one possible example, a target algorithm is prestored in the hearing aid device, and the target algorithm includes an algorithm control parameter of the target algorithm; in terms of the fitting operation of the hearing aid device according to the second hearing threshold, the fitting unit 506 is specifically configured to:
Determining a target adjustment parameter according to the second hearing threshold;
adjusting the algorithm control parameters according to the target adjustment parameters to obtain target algorithm control parameters;
and controlling the hearing aid device to operate the target algorithm according to the target algorithm control parameter.
In one possible example, in terms of the fitting operation of the hearing aid device according to the second hearing threshold, the fitting unit 506 is specifically configured to:
determining a target threshold level corresponding to the second threshold;
determining a target test recipe that is associated with the target threshold level;
and carrying out parameter configuration on the hearing aid equipment according to the target verification scheme.
The embodiment of the application also provides a computer storage medium, wherein the computer storage medium stores a computer program for electronic data exchange, and the computer program makes a computer execute part or all of the steps of any one of the above method embodiments, and the computer includes a hearing aid device.
Embodiments of the present application also provide a computer program product comprising a non-transitory computer-readable storage medium storing a computer program operable to cause a computer to perform some or all of the steps of any one of the methods described in the method embodiments above. The computer program product may be a software installation package, said computer comprising a hearing aid device.
It should be noted that, for simplicity of description, the foregoing method embodiments are all expressed as a series of action combinations, but it should be understood by those skilled in the art that the present application is not limited by the order of actions described, as some steps may be performed in other order or simultaneously in accordance with the present application. Further, those skilled in the art will also appreciate that the embodiments described in the specification are all preferred embodiments and that the acts and elements referred to are not necessarily required in the present application.
In the foregoing embodiments, the descriptions of the embodiments are emphasized, and for parts of one embodiment that are not described in detail, reference may be made to related descriptions of other embodiments.
In the several embodiments provided in this application, it should be understood that the disclosed apparatus may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, such as the above-described division of units, merely a division of logic functions, and there may be additional manners of dividing in actual implementation, such as multiple units or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, or may be in electrical or other forms.
The units described above as separate components may or may not be physically separate, and components shown as units may or may not be physical units, may be located in one place, or may be distributed over a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in each embodiment of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The integrated units described above, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable memory. Based on such understanding, the technical solution of the present application may be embodied in essence or a part contributing to the prior art or all or part of the technical solution in the form of a software product stored in a memory, including several instructions for causing a computer device (which may be a personal computer, a server or a network device, etc.) to perform all or part of the steps of the above-mentioned method of the various embodiments of the present application. And the aforementioned memory includes: a usb disk, a read-only memory, a random access memory, a removable hard disk, a magnetic disk, or an optical disk, or the like.
Those of ordinary skill in the art will appreciate that all or a portion of the steps in the various methods of the above embodiments may be implemented by a program that instructs associated hardware, and the program may be stored in a computer readable memory, which may include: flash disk, read-only memory, random access memory, magnetic or optical disk, etc.
The foregoing has outlined rather broadly the more detailed description of embodiments of the present application, wherein specific examples are provided herein to illustrate the principles and embodiments of the present application, the above examples being provided solely to assist in the understanding of the methods of the present application and the core ideas thereof; meanwhile, as those skilled in the art will have modifications in the specific embodiments and application scope in accordance with the ideas of the present application, the present description should not be construed as limiting the present application in view of the above.
Claims (10)
1. A signal processing method, characterized by being applied to a hearing aid device, comprising:
performing pure-tone hearing test on a target object by adopting a key frequency band to obtain a first hearing threshold;
acquiring the time domain resolution and the frequency domain resolution of the target object;
acquiring an environmental audio signal of the pure-tone hearing test;
acquiring a loudness perception curve of the key frequency band;
The first hearing threshold is modified according to the environment audio signal, the loudness perception curve, the time domain resolution and the frequency domain resolution, and a second hearing threshold is obtained;
and performing fitting operation on the hearing aid equipment according to the second hearing threshold.
2. The method of claim 1 wherein said modifying said first threshold based on said ambient audio signal, said loudness perception curve, said time-domain resolution, and said frequency-domain resolution to obtain a second threshold comprises:
determining the gain factor from the first threshold;
determining a compression ratio according to the gain coefficient, the time domain resolution, the frequency domain resolution and the loudness perception curve;
and carrying out parameter adjustment on the first hearing threshold according to the compression ratio and the environmental audio signal to obtain the second hearing threshold.
3. The method of claim 2, wherein said parameter adjusting said first threshold based on said compression ratio and said ambient audio signal to obtain said second threshold comprises:
determining a noise volume and a test volume according to the environmental audio signal;
determining a signal to noise ratio according to the noise volume and the test volume;
And carrying out parameter adjustment on the first hearing threshold according to the signal-to-noise ratio, the noise volume and the compression ratio to obtain the second hearing threshold.
4. The method of claim 3, wherein the first threshold comprises a first pure tone threshold of a left ear and a second pure tone threshold of a right ear of the target subject, the method further comprising:
determining an absolute value of a difference between the first pure tone threshold and the second pure tone threshold;
when the absolute value is greater than a set value, the determining the gain factor according to the first hearing threshold includes:
smoothing the first hearing threshold, including the first pure tone hearing threshold of the left ear and the first pure tone hearing threshold of the right ear, to obtain a third hearing threshold;
determining the gain factor from the third threshold;
and performing parameter adjustment on the first hearing threshold according to the signal-to-noise ratio, the noise volume and the compression ratio to obtain the second hearing threshold, wherein the parameter adjustment comprises the following steps:
and carrying out parameter adjustment on the third hearing threshold according to the signal-to-noise ratio, the noise volume and the compression ratio to obtain the second hearing threshold.
5. The method of claim 4, wherein the method further comprises:
And when the absolute value is smaller than or equal to the set value, the first hearing threshold is not subjected to smoothing processing, and the gain coefficient is directly determined according to the first hearing threshold.
6. The method according to any one of claims 1 to 5, wherein a target algorithm is stored in the hearing aid device in advance, the target algorithm including an algorithm control parameter of the target algorithm; said fitting operation of said hearing device according to said second hearing threshold comprises:
determining a target adjustment parameter according to the second hearing threshold;
adjusting the algorithm control parameters according to the target adjustment parameters to obtain target algorithm control parameters;
and controlling the hearing aid device to operate the target algorithm according to the target algorithm control parameter.
7. The method of any of claims 1-5, wherein said fitting the hearing device according to the second hearing threshold comprises:
determining a target threshold level corresponding to the second threshold;
determining a target test recipe that is associated with the target threshold level;
and carrying out parameter configuration on the hearing aid equipment according to the target verification scheme.
8. A signal processing apparatus for use in a hearing assistance device, the apparatus comprising: the device comprises an audiometric unit, a first acquisition unit, a second acquisition unit, a third acquisition unit, a correction unit and a verification unit, wherein,
The audiometric unit is used for performing pure-tone hearing test on the target object by adopting a key frequency band to obtain a first hearing threshold;
the first acquisition unit is used for acquiring the time domain resolution and the frequency domain resolution of the target object;
the second acquisition unit is used for acquiring the environment audio signal of the pure-tone hearing test;
the third obtaining unit is used for obtaining the loudness perception curve of the key frequency band;
the correction unit is used for correcting the first hearing threshold according to the environment audio signal, the loudness perception curve, the time domain resolution and the frequency domain resolution to obtain a second hearing threshold;
the fitting unit is used for performing fitting operation on the hearing aid equipment according to the second hearing threshold.
9. A hearing device comprising a processor, a memory for storing one or more programs and configured to be executed by the processor, the programs comprising instructions for performing the steps in the method of any of claims 1-7.
10. A computer-readable storage medium, characterized in that a computer program for electronic data exchange is stored, wherein the computer program causes a computer to perform the method according to any one of claims 1-7.
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