Hearing screening system suitable for rural old people

Abstract

The invention provides a hearing screening system suitable for rural old people, and belongs to the technical field of data processing, and the system comprises a data collection module which collects voice and determines a comprehensive data set; the equipment calibration module is used for determining an audio output parameter of the hardware equipment based on the hardware equipment characteristics in combination with the hardware equipment characteristics, and calibrating the hardware equipment; the parameter determination module is used for determining voice interaction parameters; the hearing test module is used for generating an audiogram; the preliminary judgment module is used for analyzing the audiogram and determining a preliminary judgment result; and the result determination module is used for selecting vocabularies from a preset vocabulary database and a dialect voice database, playing high-frequency audios corresponding to the vocabularies on the calibrated hardware equipment, obtaining user feedback and determining an optimization judgment result in combination with the vocabularies and the dialect voice database. The method has the advantages of individuation, accuracy and high efficiency, is low in cost, is especially suitable for hearing screening requirements of rural old people, and improves the universality and accuracy of screening.

Description

Technical Field

[0001] The present invention relates to the technical field of data processing, and in particular to a hearing screening system suitable for elderly people in rural areas. Background Art

[0002] As the population ages, hearing impairment among the elderly in rural areas is becoming increasingly prominent. However, due to limited medical resources in rural areas, the penetration rate of traditional hearing screening methods (such as professional audiometry equipment in hospitals) is low in rural areas, resulting in many elderly people being unable to detect hearing loss in time and take corresponding measures.

[0003] In recent years, hearing screening methods based on smart devices (such as smartphones and tablets) have gradually developed, and remote hearing assessment has been achieved through voice interaction, audio playback, user feedback, etc., reducing screening costs and improving accessibility. However, the existing technology still has many deficiencies in accuracy, applicability and user experience. The defects of the existing technology are: lack of equipment calibration, affecting test accuracy, not optimized for dialects, insufficient applicability, not fully combining user's visual and voice feedback, relying only on auditory feedback may result in misjudgment, environmental noise interference, affecting test stability, and high cost, making it difficult to mass produce or sell.

[0004] Therefore, the present invention provides a hearing screening system suitable for the elderly population in rural areas. Summary of the invention

[0005] The present invention provides a hearing screening system suitable for the elderly population in rural areas, which is used to collect and pre-process user information, extract features to form a comprehensive data set, calibrate audio output parameters according to hardware device characteristics, ensure that the device sound quality meets the standards, and optimize voice interaction according to the dialect speech synthesis model and hardware device calibration results. The judgment results are optimized in real time according to user feedback to ensure the accuracy of the evaluation. Compared with traditional screening methods, this system is personalized, precise and efficient, low-cost, and is particularly suitable for the hearing screening needs of the elderly population in rural areas, which improves the popularity and accuracy of screening.

[0006] The present invention provides a hearing screening system suitable for rural elderly people, comprising: Data collection module: obtains user information and collects user voice on the mini program interface based on preset technology, pre-processes and extracts features of the collected voice, and then determines a comprehensive data set based on voice text features and user information; Device calibration module: Analyzes the characteristics of the hardware devices used by users based on the comprehensive data set, determines the audio output parameters of the hardware devices based on the preset calibration algorithm and the characteristics of the hardware devices, and calibrates the hardware devices; Parameter determination module: determines the corresponding dialect voice library from the preset dialect voice synthesis model based on the voice text features, and determines the voice interaction parameters in combination with the audio output parameters of the hardware device; Hearing test module: Using calibrated hardware equipment and an optimized audio coding algorithm based on voice interaction parameters, standard test audio with preset national standard frequencies is played to the user's left and right ears respectively, while collecting the user's real-time feedback information on each frequency audio, and then generating an audiogram; Preliminary judgment module: Analyze the audiogram and determine the preliminary judgment result based on the preset hearing standard analysis results; Result determination module: If the volume is abnormal in the preliminary judgment result, select words from the preset vocabulary database and dialect voice library, play the high-frequency audio corresponding to the words on the calibrated hardware device, obtain user feedback, and determine the optimized judgment result based on the preliminary judgment result.

[0007] The present invention provides a hearing screening system suitable for rural elderly people, comprising: Curve analysis module: Determine the audiogram based on the preliminary judgment results and the optimized judgment results. At the same time, analyze the audiogram in combination with user information to determine the suspected hearing level test results.

[0008] The present invention provides a hearing screening system suitable for rural elderly people, a data acquisition module, comprising: Voice collection unit: real-time collection based on preset collection equipment and preset noise reduction technology; Preprocessing unit: preprocess the collected speech; Feature extraction unit: for the preprocessed speech, the Mel frequency cepstral coefficient is used to extract the characteristic parameters of the speech, and then form the speech text features; Comprehensive data set determination unit: Integrate the speech text features with the user's basic information to construct a comprehensive data set.

[0009] The present invention provides a hearing screening system suitable for rural elderly people, and a device calibration module, comprising: Hardware feature analysis unit: analyzes the comprehensive data set and, at the same time, obtains relevant features of the user using the hardware device in combination with the inherent parameters of the hardware device; Calibration algorithm application unit: based on a preset calibration algorithm, taking relevant features of the user when using the hardware device as input, and then determining several audio output parameters of the hardware device; Setting adjustment unit: adjust the audio output settings of the hardware device based on the audio output parameters; Calibration effect verification unit: plays preset standard test audio on the hardware device, and at the same time, collects user feedback to evaluate whether the calibrated audio output effect meets expectations. If it does not meet the expected effect, readjust the calibration parameters until the preset requirements are met.

[0010] The present invention provides a hearing screening system suitable for rural elderly people, a parameter determination module, comprising: Dialect voice library screening unit: performs semantic analysis and language recognition on the voice text features, determines the dialect category to which the user's voice belongs, and screens out the corresponding dialect voice library from the preset dialect speech synthesis model; Preliminary calculation unit: determines the voice interaction coefficient based on the dialect voice library and the audio output parameters of the hardware device combined with user-related parameters; The voice interaction parameters are determined based on the voice interaction coefficients and a preset coefficient-parameter database.

[0011] The present invention provides a hearing screening system suitable for rural elderly people, a preliminary calculation unit, comprising: Parameter determination subunit: analyzes the dialect speech database and determines a number of corresponding dialect-related parameters; Coefficient determination subunit: normalizes the dialect-related parameters, hardware device audio output parameters, and user-related parameters to determine the voice interaction coefficient:

[0012] in, is the dialect pronunciation complexity coefficient, is the dialect speech rate characteristic coefficient, is the dialect intonation richness coefficient, is the dialect vocabulary familiarity coefficient, is the dialect matching coefficient, To adapt the hardware volume parameters, is the hardware frequency response parameter, is the hardware audio distortion parameter, is the hardware audio delay parameter, is the user age influence coefficient, is the user's medical history influence coefficient, is the environmental noise interference parameter, is the voice interaction scenario coefficient.

[0013] The present invention provides a hearing screening system suitable for rural elderly people, and a hearing test module, comprising: Audio playback control unit: encodes the preset standardized digital audio according to the voice interaction parameters and the preset optimized audio encoding algorithm, encodes the standard test audio of the preset national standard frequency, and plays the encoded standard test audio to the left and right ears of the user respectively through the calibrated hardware device. During the playback process, the audio properties are adjusted according to the voice interaction parameters; Feedback information collection unit: while the audio is playing, the user's feedback information on each frequency audio is collected in real time through a preset method; Data sorting and curve generation unit: Analyze the collected feedback information to determine the user's feedback data at each frequency point of the preset national standard frequency, and convert the user's feedback data into an audiogram based on a preset data fitting algorithm.

[0014] The present invention provides a hearing screening system suitable for rural elderly people, and a preliminary judgment module, including: Curve feature extraction unit: extracts the features of the audiogram based on a preset analysis technique, and then determines several features of the audiogram; Judgment standard matching unit: compares the extracted curve features with the preset hearing judgment standards, and then generates a preliminary judgment result based on the comparison result.

[0015] The present invention provides a hearing screening system suitable for rural elderly people, and a result determination module, comprising: Vocabulary selection unit: When the preliminary judgment result shows that the volume is abnormal, the vocabulary suitable for high-frequency listening test is selected from the preset vocabulary database combined with the determined dialect voice library by using random sampling and semantic matching algorithm; Audio playback unit: performs audio synthesis on the selected words, generates corresponding high-frequency audio, and plays these high-frequency audio on the calibrated hardware device; Feedback acquisition unit: uses image recognition and speech recognition technology to obtain user feedback information on high-frequency audio; Optimization judgment unit: Analyzes the preliminary judgment result and the user's feedback information on the high-frequency audio based on a preset analysis algorithm to determine the optimization judgment result.

[0016] The present invention provides a hearing screening system suitable for rural elderly people, a curve analysis module, comprising: Audiogram generation unit: generates an audiogram based on the hearing data in the preliminary judgment results and the optimized judgment results by using data fitting and curve drawing algorithms; User information association unit: associates the generated test curve with the user information, and then adjusts the hearing test chart; Curve feature extraction unit: extract features from the adjusted audiometric test chart, match and analyze the extracted curve features with typical features in the preset disease feature library, and then determine several possible suspected hearing level test results in combination with the pattern recognition algorithm.

[0017] Compared with the prior art, the present invention has the following beneficial effects: By collecting and preprocessing speech, extracting features to form a comprehensive data set, calibrating audio output parameters according to hardware device characteristics to ensure that the device sound quality meets the standards, and optimizing voice interaction based on the dialect speech synthesis model and hardware device calibration results. Optimize judgment results in real time based on user feedback to ensure the accuracy of the assessment. Compared with traditional screening methods, this system is personalized, precise, efficient, and low-cost, and is particularly suitable for the hearing screening needs of rural elderly people, improving the popularity and accuracy of screening. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0019] Figure 1 It is a structural schematic diagram of a hearing screening system suitable for rural elderly people provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0020] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the drawings of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0021] Embodiment 1: The embodiment of the present invention provides a hearing screening system suitable for rural elderly people, such as Figure 1 As shown, including: The present invention provides a hearing screening system suitable for rural elderly people, comprising: Data collection module: obtains user information and collects user voice on the mini program interface based on preset technology, pre-processes and extracts features of the collected voice, and then determines a comprehensive data set based on voice text features and user information; Device calibration module: Analyzes the characteristics of the hardware devices used by users based on the comprehensive data set, determines the audio output parameters of the hardware devices based on the preset calibration algorithm and the characteristics of the hardware devices, and calibrates the hardware devices; Parameter determination module: determines the corresponding dialect voice library from the preset dialect voice synthesis model based on the voice text features, and determines the voice interaction parameters in combination with the audio output parameters of the hardware device; Hearing test module: Using calibrated hardware equipment and an optimized audio coding algorithm based on voice interaction parameters, standard test audio with preset national standard frequencies is played to the user's left and right ears respectively, while collecting the user's real-time feedback information on each frequency audio, and then generating an audiogram; Preliminary judgment module: Analyze the audiogram and determine the preliminary judgment result based on the preset hearing standard analysis results; Result determination module: If the volume is abnormal in the preliminary judgment result, select words from the preset vocabulary database and dialect voice library, play the high-frequency audio corresponding to the words on the calibrated hardware device, obtain user feedback, and determine the optimized judgment result based on the preliminary judgment result.

[0022] In this embodiment, the front-end interface of the system is a WeChat applet (high compatibility, no installation required); In this embodiment, the user information includes: age, gender, occupation, etc.

[0023] In this embodiment, the hardware equipment configuration (cost per person ≤ 100 yuan) includes: a smartphone (highly popular, not included in the cost), running test programs, data storage, calibration headphones (JBL C100SI) to ensure sound output accuracy, and a DIY soundproof box (foam + cotton cloth) to reduce environmental noise interference; In this embodiment, user feedback refers to the system collecting the user's response or perception of the audio test in real time during the hearing screening process to help the system evaluate the hearing condition and further optimize the audio output parameters. Feedback usually includes the user's perception of the audio playback (such as whether it can be heard clearly, whether the volume is moderate, whether it is clear, etc.), as well as the user's subjective evaluation (such as whether the audio is too loud, too quiet, whether it is clear, etc.). These feedback information is the key basis for adjusting the test audio and judging hearing health. Support the principle of "retreat ten and enter five, double confirmation" to ensure the accuracy of the test results.

[0024] In this embodiment, the preset national standard frequencies include: 500Hz, 1000Hz, 2000Hz, 3000Hz, 4000Hz, 5000Hz, 6000Hz, 7000Hz, 8000Hz and other frequencies that meet the national standards; In this embodiment, the audio coding algorithm refers to a series of technical means to improve audio quality, reduce distortion, and reduce the computing burden and transmission delay of the device by compressing, encoding and transmitting the audio signal. For the hearing screening system in the present invention, the algorithm can intelligently optimize the audio according to user feedback and device characteristics to ensure the best hearing test experience under different hardware devices and environmental conditions.

[0025] In this embodiment, the voice interaction parameters refer to the audio parameters that need to be adjusted according to the user's dialect characteristics, the audio output capabilities of the hardware device, and other user-related information (such as age, health status, etc.) in order to ensure smooth communication between the system and the user during the voice interaction process. These parameters include volume, frequency response, speech rate, intonation, etc. to optimize the audio quality and the user's auditory experience. For example, the system detects that the user is speaking Cantonese dialect and his hearing has declined to a certain extent. Based on this, the voice interaction parameters may adjust the volume to make it slightly louder, reduce the speech rate, and use a clear tone so that the user can more easily hear and understand the system prompts. The system will also adjust the frequency response of the audio according to the audio output characteristics of the hardware device to ensure that the played audio is more suitable for the user's hearing needs.

[0026] In this embodiment, the optimized judgment result is a hearing assessment result that is further adjusted and improved on the basis of the preliminary judgment by playing high-frequency audio and analyzing user feedback. It is more accurate than the preliminary judgment result, can eliminate misjudgment, and improve screening accuracy. For example: Assume that the preliminary judgment result is "The high-frequency hearing of the left ear is abnormal, please go to the hospital for reexamination in time", the system then plays the high-frequency audio and asks the user for feedback. If the user still cannot recognize the vocabulary in the high-frequency audio test, the optimized judgment result may be adjusted to "The high-frequency hearing loss of the left ear is serious, please go to the hospital for reexamination in time"; if the user can correctly identify it, the optimized judgment result may be changed to "The hearing of the left ear is normal."

[0027] The beneficial effects of the above technical solution are as follows: by collecting and preprocessing the user's gesture images and voice, extracting features to form a comprehensive data set, calibrating the audio output parameters according to the characteristics of the hardware device to ensure that the device sound quality meets the standards, and optimizing voice interaction according to the dialect speech synthesis model and the hardware device calibration results. The judgment results are optimized in real time based on user feedback to ensure the accuracy of the evaluation. Compared with traditional screening methods, this system is personalized, precise, efficient, and low-cost. It is especially suitable for the hearing screening needs of the elderly in rural areas, and improves the popularity and accuracy of screening.

[0028] Embodiment 2: The embodiment of the present invention provides a hearing screening system suitable for rural elderly people, which also includes: Curve analysis module: Determine the test curve based on the preliminary judgment results and the optimized judgment results. At the same time, analyze the test curve in combination with user information to determine the suspected hearing level test results.

[0029] In this embodiment, the test curve refers to an audio test response curve formed by gradually adjusting the audio output based on the preliminary judgment results and the optimized judgment results in the embodiment of the present invention, combined with the user's feedback and related parameters. This curve reflects the user's response to different frequencies, volumes and other parameters, helping the system to evaluate the user's hearing level and predict potential hearing problems. The test curve is generated based on user feedback data, and the system adjusts the audio playback process and combines audio characteristics (such as frequency response and volume changes) to judge the hearing condition.

[0030] Beneficial effects of the above technical solution: By analyzing the test curve, the system can more accurately identify the user's hearing impairment or suspected illness, such as hearing loss or specific frequency loss. Compared with the prior art, the present invention can dynamically adjust the test process in combination with the user's basic information and feedback, thereby improving the personalization and accuracy of screening. It is particularly suitable for the elderly population in rural areas, can effectively reduce environmental noise interference, optimize the test process, thereby improving the effect and accuracy of hearing screening, and ensuring early detection of potential hearing problems.

[0031] Embodiment 3: The embodiment of the present invention provides a hearing screening system suitable for rural elderly people, and a data collection module, including: Voice collection unit: real-time collection based on preset collection equipment and preset noise reduction technology; Preprocessing unit: preprocess the collected speech; Feature extraction unit: for the preprocessed speech, the Mel frequency cepstral coefficient is used to extract the characteristic parameters of the speech, and then form the speech text features; Comprehensive data set determination unit: Integrate the speech text features with the user's basic information to construct a comprehensive data set.

[0032] In this embodiment, the preprocessing includes: image preprocessing: converting the color image into a grayscale image to reduce the amount of data, then performing a noise reduction operation, using a median filter algorithm to remove salt and pepper noise in the image; finally performing a normalization process to make the image pixel values ​​within a uniform range, which is convenient for subsequent feature extraction. Speech preprocessing: pre-emphasize the collected speech to increase the energy of the high-frequency part; divide the speech signal into short frames through a frame splitting and windowing operation, and perform a windowing process to reduce spectrum leakage; then perform endpoint detection to accurately determine the start and end positions of the speech and remove the silent part.

[0033] The beneficial effects of the above technical solution are: the user's image and voice information is efficiently obtained through the data acquisition module. The system uses preset equipment and algorithms to collect and preprocess the user's gesture images, extract image features through convolutional neural networks, and perform noise reduction on the voice and extract Mel frequency cepstral coefficient features. The comprehensive data set determination unit integrates image features, voice features and user basic information to form a complete data set. This comprehensive data set provides an accurate basis for subsequent personalized evaluation and hardware optimization, improves the accuracy and efficiency of hearing screening, and is particularly suitable for rural elderly groups, and can better adapt to the individual differences of different users.

[0034] Embodiment 4: The embodiment of the present invention provides a hearing screening system suitable for rural elderly people, and a device calibration module, including: Hardware feature analysis unit: analyzes the comprehensive data set and, at the same time, obtains relevant features of the user using the hardware device in combination with the inherent parameters of the hardware device; Calibration algorithm application unit: based on a preset calibration algorithm, taking relevant features of the user when using the hardware device as input, and then determining several audio output parameters of the hardware device; Setting adjustment unit: adjust the audio output settings of the hardware device based on the audio output parameters; Calibration effect verification unit: plays preset standard test audio on the hardware device, and at the same time, collects user feedback to evaluate whether the calibrated audio output effect meets expectations. If it does not meet the expected effect, readjust the calibration parameters until the preset requirements are met.

[0035] In this embodiment, the preset calibration algorithm refers to a predetermined mathematical or logical method used in the present invention to adjust the audio output parameters of the hardware device. Its goal is to adjust the audio output of the device by calculation according to the relevant characteristics of the user when using the device (such as the inherent parameters of the hardware device, environmental noise, etc.) to ensure that the device can provide the best audio quality according to the personalized needs of the user (such as hearing characteristics, dialect differences, etc.). The preset calibration algorithm usually takes into account multiple factors, such as the frequency response of the device, the volume output range, the audio distortion, the delay, etc., to calculate the best audio output parameters and adjust the settings of the device to suit the user's hearing needs.

[0036] The beneficial effects of the above technical solution are: through the preset calibration algorithm, the audio output parameters are automatically adjusted according to the characteristics of the hardware device used by the user to ensure that the sound quality reaches the best level. The calibration effect verification unit monitors the standard test audio played in real time and further optimizes the parameters according to user feedback to ensure that the device output meets the expected standards. Compared with traditional technologies, this method is more flexible and accurate, especially in the rural elderly population, and can be optimized for different devices and hearing needs, improving user experience and screening efficiency.

[0037] Embodiment 5: The embodiment of the present invention provides a hearing screening system suitable for rural elderly people, and a parameter determination module, including: Dialect voice library screening unit: performs semantic analysis and language recognition on the voice text features, determines the dialect category to which the user's voice belongs, and screens out the corresponding dialect voice library from the preset dialect speech synthesis model; Preliminary calculation unit: determines the voice interaction coefficient based on the dialect voice library and the audio output parameters of the hardware device combined with user-related parameters; The voice interaction parameters are determined based on the voice interaction coefficients and a preset coefficient-parameter database.

[0038] In this embodiment, the dialect category refers to which dialect the language spoken by the user belongs to. Each dialect has its own unique pronunciation, speaking speed, intonation and other characteristics. By performing semantic analysis and language recognition on the text features of the user's voice, the system can identify the user's dialect type, thereby selecting a suitable dialect voice library for subsequent processing. For example: suppose an elderly person in a rural area speaks Cantonese. Through voice recognition and semantic analysis, the system detects the characteristics of his voice text, such as specific vocabulary and pronunciation rules, and recognizes that the user is speaking the Cantonese dialect. Based on this, the system will filter out the Cantonese voice library from the preset dialect speech synthesis model for subsequent voice interaction processing.

[0039] The beneficial effects of the above technical solution are as follows: through the dialect voice library screening unit and the preliminary calculation unit, the user's dialect characteristics, hardware equipment parameters and user personal information are accurately combined to optimize the voice interaction effect. Compared with the prior art, the appropriate voice library is intelligently screened according to the user's dialect type to ensure the clarity and comprehensibility of the voice content. Further, by combining the voice interaction coefficient with the preset coefficient-parameter database, the voice interaction parameters are dynamically adjusted to enhance the personalization and adaptability of the audio output. Especially in rural elderly groups, the present invention can effectively reduce language barriers and environmental interference, improve the accuracy of screening and user experience, and ensure that the voice interaction process is more natural and smooth.

[0040] Embodiment 6: The embodiment of the present invention provides a hearing screening system suitable for rural elderly people, and the preliminary calculation unit includes: Parameter determination subunit: analyzes the dialect speech database and determines a number of corresponding dialect-related parameters; Coefficient determination subunit: normalizes the dialect-related parameters, hardware device audio output parameters, and user-related parameters to determine the voice interaction coefficient:

[0041] in, is the dialect pronunciation complexity coefficient, is the dialect speech rate characteristic coefficient, is the dialect intonation richness coefficient, is the dialect vocabulary familiarity coefficient, is the dialect matching coefficient, To adapt the hardware volume parameters, is the hardware frequency response parameter, is the hardware audio distortion parameter, is the hardware audio delay parameter, is the user age influence coefficient, is the user's medical history influence coefficient, is the environmental noise interference parameter, is the voice interaction scenario coefficient.

[0042] In this embodiment, the dialect-related parameters include: dialect pronunciation complexity coefficient, dialect speed characteristic coefficient, dialect intonation richness coefficient, dialect vocabulary familiarity coefficient, dialect matching coefficient, dialect pronunciation complexity coefficient: Acquisition method: By analyzing the pronunciation rules of a specific dialect, the number of phonemes required for pronunciation, the complexity of the pronunciation method, etc. can be calculated. With the help of phonetic analysis tools, the pronunciation characteristics of the dialect can be modeled to obtain its complexity score. For example: The phoneme combinations in some dialects are more complex and may require more tongue movements or breathing control; these dialects may have a higher pronunciation complexity coefficient. Dialect speed characteristic coefficient: Acquisition method: Analyze the typical speaking speed of the dialect through speech signal processing technology and calculate its average speaking speed under normal communication conditions. The speaking speed characteristics of the dialect can be obtained by analyzing the voice recordings of a large number of local dialect samples. For example: Some dialects have a faster speaking speed, such as some southern dialects, while some northern dialects may have a slower speaking speed. These differences will be reflected in the dialect speed characteristic coefficient. Dialect Intonation Richness Coefficient: Acquisition method: Analyze the intonation patterns in the dialect, especially the frequency and range of intonation changes. Information such as the pitch and rise and fall curves of the intonation can be extracted through speech analysis software. For example: Some dialects (such as Cantonese) have rich intonation changes, while the intonation of Mandarin is relatively single, so the intonation richness coefficient of Cantonese is higher. Dialect vocabulary familiarity coefficient: Acquisition method: Compare the commonness of the dialect vocabulary used by the user with the vocabulary familiarity of the standard language (such as Mandarin). Analyze the frequency of use of dialect vocabulary through the corpus to obtain vocabulary familiarity. For example: For an elderly person who speaks Cantonese, some vocabulary is more common in Cantonese, but may be less used in Mandarin, so his dialect vocabulary familiarity coefficient is higher. Dialect matching coefficient: Acquisition method: By identifying the dialect used by the user and matching it with the preset dialect library, the matching degree is calculated. The dialect matching coefficient reflects the degree of matching between the user's language and the dialect recognized by the system. For example: If the system detects that the user's pronunciation is highly consistent with the sample in a dialect library, then the dialect matching coefficient will be high, indicating that the system is more adaptable to the dialect.

[0043] The beneficial effects of the above technical solution are as follows: by introducing a preliminary calculation unit, combining various dialect-related parameters, hardware device audio output parameters and user personalized information, the voice interaction coefficient is accurately calculated to optimize the audio interaction effect of hearing screening. Compared with the prior art, the present invention not only takes into account the complexity, speech speed, intonation and other characteristics of the dialect, but also integrates the performance of the hardware equipment (such as volume, frequency response, distortion, etc.) and the user's age, medical history and other factors, further improving the adaptability and accuracy of the system. Especially in the rural elderly population, the system can better adapt to individual differences and environmental noise, and provide a clearer and more adaptive voice interaction experience, thereby improving the accuracy of screening and user experience.

[0044] Embodiment 7: The embodiment of the present invention provides a hearing screening system suitable for rural elderly people, and a hearing test module, including: Audio playback control unit: encodes the preset standardized digital audio according to the voice interaction parameters and the preset optimized audio encoding algorithm, encodes the standard test audio of the preset national standard frequency, and plays the encoded standard test audio to the left and right ears of the user respectively through the calibrated hardware device. During the playback process, the audio properties are adjusted according to the voice interaction parameters; Feedback information collection unit: while the audio is playing, the user's feedback information on each frequency audio is collected in real time through a preset method; Data sorting and curve generation unit: Analyze the collected feedback information to determine the user's feedback data at each frequency point of the preset national standard frequency, and convert the user's feedback data into an audiogram based on a preset data fitting algorithm.

[0045] In this embodiment, the feedback conditions include: feedback rate (the ratio of the number of feedbacks to the number of playbacks), average feedback time, etc.

[0046] In this embodiment, the audiogram: the horizontal axis represents different test frequencies, and the vertical axis can be quantitative indicators such as feedback rate and feedback time, so as to intuitively show the hearing performance of the user's left and right ears at different frequencies. The generated audiogram provides an intuitive and accurate data visualization basis for subsequent hearing assessment.

[0047] In this embodiment, several features of the audiogram are determined: the trend of the curve is analyzed to determine whether it is rising, falling or stable; the slope of the curve is calculated to understand the rate of change in hearing; the peak and valley of the curve are determined to clarify the frequency points where the user's hearing performance is best and worst; the fluctuation of the curve is also analyzed to evaluate the stability of hearing. These features can reflect the changing trends and differences of the user's hearing in different frequency bands.

[0048] In this embodiment, the extracted curve features are compared with the preset hearing judgment standard. The preset judgment standard is based on a large amount of medical research data, clinical experience and industry standards. If the feedback rate of the curve in certain frequency bands is lower than a specific threshold, or the feedback time exceeds a certain range, it may be judged that there is a hearing problem in the frequency band; if the curve presents a specific shape, such as a sharp drop in the high frequency band, it may indicate high-frequency hearing loss. Through this matching method, it is possible to preliminarily judge whether the user's hearing in the left and right ears is normal, as well as the type and degree of possible hearing problems; In this embodiment, a preliminary judgment result is generated based on the comparison result. If the audiogram shows that the user's feedback in each frequency band is within the normal range, the preliminary judgment result is normal hearing; if there is abnormal feedback in some frequency bands, the abnormal frequency range and possible hearing problems will be clearly pointed out, such as "the hearing in the left ear 2000Hz - 4000Hz frequency band is suspected to be reduced." The preliminary judgment result is presented in a clear and easy-to-understand way, providing a clear direction and basis for the subsequent test process and result determination.

[0049] Embodiment 8: The embodiment of the present invention provides a hearing screening system suitable for rural elderly people, and the preliminary judgment module includes: Curve feature extraction unit: extracts the features of the audiogram based on a preset analysis technique, and then determines several features of the audiogram; Judgment standard matching unit: compares the extracted curve features with the preset hearing judgment standards, and then generates a preliminary judgment result based on the comparison result.

[0050] In this embodiment, the preliminary judgment result is the hearing assessment result obtained by the system in the first stage of the user's hearing screening, based on the user's feedback on the standardized digital audio and the preset judgment rules. It is a preliminary analysis of the hearing screening, and further testing is required to confirm the final conclusion. For example, if a user cannot correctly repeat what he hears when the standardized digital audio is played, the system may make a preliminary judgment result of "abnormal high-frequency hearing in the left ear" or "normal hearing".

[0051] The beneficial effects of the above technical solution are: optimizing the hearing assessment process through the preliminary judgment module, adjusting the assessment in real time according to individual feedback, improving the accuracy of the assessment and user experience, and it is especially suitable for the elderly population in rural areas.

[0052] Embodiment 9: The embodiment of the present invention provides a hearing screening system suitable for rural elderly people, and the result determination module includes: Vocabulary selection unit: When the preliminary judgment result shows that the volume is abnormal, the vocabulary suitable for high-frequency listening test is selected from the preset vocabulary database combined with the determined dialect voice library by using random sampling and semantic matching algorithm; Audio playback unit: performs audio synthesis on the selected words, generates corresponding high-frequency audio, and plays these high-frequency audio on the calibrated hardware device; Feedback acquisition unit: uses image recognition and speech recognition technology to obtain user feedback information on high-frequency audio; Optimization judgment unit: Analyzes the preliminary judgment result and the user's feedback information on the high-frequency audio based on a preset analysis algorithm to determine the optimization judgment result.

[0053] In this embodiment, random sampling: the algorithm randomly selects a number of words from a preset vocabulary database to ensure coverage of diverse listening test scenarios to avoid bias; In this embodiment, the semantic matching algorithm: the algorithm selects those words that are most easily understood by users of the dialect based on the user's dialect voice library and the semantic features of the voice. This ensures that the user can hear clearly and recognize the words in the test, thereby accurately assessing their listening level. For example: suppose that the preset vocabulary library contains multiple commonly used words, such as "apple", "banana", "television", etc. When it is detected that the user's volume is abnormal, the system will randomly extract a word (such as "apple") from the vocabulary library, and according to the user's dialect characteristics (for example, the dialect of a certain region will have specific pronunciation habits), select the audio form that conforms to the dialect for playback (such as the pronunciation of "apple" may have different intonations or timbres).

[0054] In this embodiment, the preset analysis algorithm is a set of rules or models set in advance in the system to analyze the user's feedback information and preliminary judgment results, so as to further optimize the results of the hearing screening. This algorithm combines the user's feedback on high-frequency audio to analyze whether the user can successfully hear these high-frequency audios, and adjusts the final judgment results based on the feedback information. For example: Suppose the user feedback "cannot hear" during audio playback, and the feedback image shows that the user's eye reaction does not show a normal hearing reaction (such as no "hearing" action). In this case, the preset analysis algorithm will combine the preliminary judgment results (such as the volume is too low) and image feedback, and believe that the user may have more serious hearing problems. The system then uses this result as an optimized judgment result, prompting further hearing screening or medical intervention.

[0055] The beneficial effects of the above technical solution are as follows: by introducing the result determination module, the high-frequency hearing test process is optimized, and the appropriate high-frequency vocabulary can be intelligently selected according to the preliminary judgment results, and personalized adaptation can be performed in combination with the user's dialect characteristics. Compared with the prior art, the present invention adopts random sampling and semantic matching algorithms to ensure that the vocabulary selection is more accurate and in line with the user's language habits. The accuracy of the hearing test is further optimized by playing high-frequency audio through audio synthesis and calibration equipment, and obtaining user feedback in combination with image and speech recognition technology. The system is particularly effective in rural elderly groups, reducing the impact of dialects and environmental noise on test results, and providing a more accurate and personalized hearing screening experience.

[0056] Embodiment 10: The embodiment of the present invention provides a hearing screening system suitable for rural elderly people, and a curve analysis module, including: Audiogram generation unit: generates an audiogram based on the hearing data in the preliminary judgment results and the optimized judgment results by using data fitting and curve drawing algorithms; User information association unit: associates the generated test curve with the user information, and then adjusts the hearing test chart; Curve feature extraction unit: extract features from the adjusted audiometric test chart, match and analyze the extracted curve features with typical features in the preset disease feature library, and then determine several possible suspected hearing level test results in combination with the pattern recognition algorithm.

[0057] In this embodiment, the preset disease feature library is determined based on the regional health management platform connected to the New Rural Cooperative Medical Care Database; In this embodiment, several possible suspected hearing level test results are determined, including: a high-frequency steep drop → noise-induced hearing loss, a flat drop → otitis media; The beneficial effects of the above technical solution are as follows: by introducing a curve analysis module, combined with data fitting and pattern recognition algorithms, the audiometry chart can be accurately adjusted, and suspected symptoms can be quickly identified by matching with a preset disease feature library. Compared with the prior art, the present invention can combine the user's personalized information (such as age, medical history, etc.) to generate a more accurate audiometry chart, thereby improving the accuracy of screening. Through feature extraction and pattern recognition, the system can effectively identify potential hearing problems, especially for the elderly population in rural areas, reduce environmental interference, improve the efficiency and diagnostic level of hearing screening, and provide a reliable basis for early detection of hearing impairment.

[0058] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A hearing screening system suitable for rural elderly people, characterized in that: include: Data collection module: obtains user information and collects user voice on the mini program interface based on preset technology, preprocesses and extracts features of the collected voice, and then determines a comprehensive data set based on voice text features and user information; Device calibration module: Analyzes the characteristics of the hardware devices used by users based on the comprehensive data set, determines the audio output parameters of the hardware devices based on the preset calibration algorithm and the characteristics of the hardware devices, and calibrates the hardware devices; Parameter determination module: determines the corresponding dialect voice library from the preset dialect voice synthesis model based on the voice text features, and determines the voice interaction parameters in combination with the audio output parameters of the hardware device; Hearing test module: Using calibrated hardware equipment and an optimized audio coding algorithm based on voice interaction parameters, standard test audio with preset national standard frequencies is played to the user's left and right ears respectively, while collecting the user's real-time feedback information on each frequency audio, and then generating an audiogram; Preliminary judgment module: Analyze the audiogram and determine the preliminary judgment result based on the preset hearing standard analysis results; Result determination module: If the volume is abnormal in the preliminary judgment result, select words from the preset vocabulary database and dialect voice library, play the high-frequency audio corresponding to the words on the calibrated hardware device, obtain user feedback, and determine the optimized judgment result based on the preliminary judgment result.

2. A hearing screening system suitable for rural elderly people according to claim 1, characterized in that: Also includes: Curve analysis module: compares the audiogram based on the preliminary judgment results and the optimized judgment results. At the same time, the audiogram is analyzed in combination with user information to determine the suspected hearing level test results.

3. A hearing screening system suitable for rural elderly people according to claim 1, characterized in that: Data acquisition module, including: Voice collection unit: real-time collection based on preset collection equipment and preset noise reduction technology; Preprocessing unit: preprocess the collected speech; Feature extraction unit: for the preprocessed speech, the Mel frequency cepstral coefficient is used to extract the characteristic parameters of the speech, and then form the speech text features; Comprehensive data set determination unit: Integrate image features, voice and text features with basic information of users to construct a comprehensive data set.

4. The hearing screening system suitable for rural elderly people according to claim 1, characterized in that: Equipment calibration module, include: Hardware feature analysis unit: analyzes the comprehensive data set and, at the same time, obtains relevant features of the user using the hardware device in combination with the inherent parameters of the hardware device; Calibration algorithm application unit: based on a preset calibration algorithm, taking relevant features of the user when using the hardware device as input, and then determining several audio output parameters of the hardware device; Setting adjustment unit: adjust the audio output settings of the hardware device based on the audio output parameters; Calibration effect verification unit: plays preset standard test audio on the hardware device, and at the same time, collects user feedback to evaluate whether the calibrated audio output effect meets expectations. If it does not meet the expected effect, readjust the calibration parameters until the preset requirements are met.

5. The hearing screening system suitable for rural elderly people according to claim 1, characterized in that: The parameter determination module includes: Dialect voice library screening unit: performs semantic analysis and language recognition on the voice text features, determines the dialect category to which the user's voice belongs, and screens out the corresponding dialect voice library from the preset dialect speech synthesis model; Preliminary calculation unit: determines the voice interaction coefficient based on the dialect voice library and the audio output parameters of the hardware device combined with the user-related parameters; The voice interaction parameters are determined based on the voice interaction coefficients and a preset coefficient-parameter database.

6. A hearing screening system suitable for rural elderly people according to claim 5, characterized in that: Preliminary computing unit, including: Parameter determination subunit: analyzes the dialect speech database and determines a number of corresponding dialect-related parameters; Coefficient determination subunit: normalizes the dialect-related parameters, hardware device audio output parameters, and user-related parameters to determine the voice interaction coefficient: in, is the dialect pronunciation complexity coefficient, is the dialect speech rate characteristic coefficient, is the dialect intonation richness coefficient, is the dialect vocabulary familiarity coefficient, is the dialect matching coefficient, To adapt the hardware volume parameters, is the hardware frequency response parameter, is the hardware audio distortion parameter, is the hardware audio delay parameter, is the user age influence coefficient, is the user's medical history influence coefficient, is the environmental noise interference parameter, is the voice interaction scenario coefficient.

7. The hearing screening system suitable for rural elderly people according to claim 1, characterized in that: Listening test modules include: Audio playback control unit: encodes the preset standardized digital audio according to the voice interaction parameters and the preset optimized audio encoding algorithm, encodes the standard test audio of the preset national standard frequency, and plays the encoded standard test audio to the left and right ears of the user respectively through the calibrated hardware device. During the playback process, the audio properties are adjusted according to the voice interaction parameters; Feedback information collection unit: while the audio is playing, the user's feedback information on each frequency audio is collected in real time through a preset method; Data sorting and curve generation unit: Analyze the collected feedback information to determine the user's feedback data at each frequency point of the preset national standard frequency, and convert the user's feedback data into an audiogram based on a preset data fitting algorithm.

8. The hearing screening system suitable for rural elderly people according to claim 1, characterized in that: The preliminary judgment module includes: Curve feature extraction unit: extracts the features of the audiogram based on a preset analysis technique, and then determines several features of the audiogram; Judgment standard matching unit: compares the extracted curve features with the preset hearing judgment standards, and then generates a preliminary judgment result based on the comparison result.

9. The hearing screening system suitable for rural elderly people according to claim 1, characterized in that: The result determination module includes: Vocabulary selection unit: When the preliminary judgment result shows that the volume is abnormal, the vocabulary suitable for high-frequency listening test is selected from the preset vocabulary database combined with the determined dialect voice library by using random sampling and semantic matching algorithm; Audio playback unit: performs audio synthesis on the selected words, generates corresponding high-frequency audio, and plays these high-frequency audio on the calibrated hardware device; Feedback acquisition unit: uses image recognition and speech recognition technology to obtain user feedback information on high-frequency audio; Optimization judgment unit: Analyzes the preliminary judgment result and the user's feedback information on the high-frequency audio based on a preset analysis algorithm to determine the optimization judgment result.

10. The hearing screening system suitable for rural elderly people according to claim 2, characterized in that: Curve analysis module, including: Audiogram generation unit: generates an audiogram based on the hearing data in the preliminary judgment results and the optimized judgment results by using data fitting and curve drawing algorithms; User information association unit: associates the generated test curve with the user information, and then adjusts the hearing test chart; Curve feature extraction unit: extract features from the adjusted audiometric test chart, match and analyze the extracted curve features with typical features in the preset disease feature library, and then determine several possible suspected hearing level test results in combination with the pattern recognition algorithm.

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