Hearing aid audio distance segmentation method

Abstract

The invention discloses a hearing aid audio distance segmentation method, which comprises the following steps of: receiving audios through four groups of microphones of a signal receiving module, converting the received four groups of audios into digital signals, segmenting the digital signals according to time, analyzing and comparing the four groups of digital signals through a signal analysis module, and determining the audio distance of the hearing aid. According to the method, the high-frequency signals are compared, whether the high-frequency-band signals are attenuated or not is analyzed, when the difference of the high-frequency signals in the four groups of signals is irregular, it can be considered that the attenuation degree of the audio signals is low, and if the difference of the high-frequency signals in the four groups of signals is irregular, it can be considered that the attenuation degree of the audio signals is low. And when the differences of the high-frequency signals in the four groups of signals are the same pairwise, it can be considered that the attenuation degree of the audio signals is high, and the distinguishing signals are far signals, so that the distance of the sound can be clearly distinguished, and distortion of the processed sound caused by misjudgment of the processor is prevented.

Description

Technical Field

[0001] This invention discloses a method for audio distance segmentation in hearing aids, which belongs to the field of hearing aids. Background Technology

[0002] A hearing aid is an electronic device used to help people with hearing loss improve their hearing by amplifying sound signals, allowing users to hear sounds more clearly. The working principle of a hearing aid involves the collection, amplification, processing, and output of sound. During the amplification process, the hearing aid may include signal processing functions such as noise reduction and frequency adjustment to improve the clarity and audibility of the sound.

[0003] Existing hearing aids typically employ audio distance segmentation to distinguish sounds at different distances and perform corresponding amplification and noise reduction when picking up and processing sound. However, sound signals attenuate, and this attenuation is related to the propagation distance. Generally, as the propagation distance increases, the sound energy gradually decreases. This means that distant signals and near signals received by the hearing aid require different processing procedures. Existing hearing aids distinguish sound distance through spectrum analysis, but when distant sounds are louder than near sounds, they may misjudge the near sounds as having severe attenuation. This can easily lead to processor misjudgment, rendering the processing method inapplicable and ultimately causing sound distortion. Summary of the Invention

[0004] The technical problem that this invention aims to solve is that existing hearing aids cannot reliably determine the distance of sounds, which can easily lead to processor misjudgment, rendering the processing method inapplicable and ultimately causing sound distortion.

[0005] To achieve the above objectives, the present invention provides the following technical solution: A method for audio distance segmentation in hearing aids includes the following steps: S1. Audio is received through four microphones of the signal receiving module, and then the received audio is converted into digital signals, which are segmented according to time. S2. The signal analysis module analyzes and compares the four sets of digital signals, compares the same parts of each set of signals in the same period, and then compares the high-frequency signals between the same parts of the signals to analyze whether there is attenuation of the high-frequency signals. When the differences of the high-frequency signals in the four sets of signals are irregular, it can be considered that the audio signal attenuation is relatively light and the signal is a nearby signal. When the differences of the high-frequency signals in the four sets of signals are identical in pairs, it can be considered that the audio signal attenuation is relatively heavy and the signal is a distant signal. S3. The signal repair module eliminates noise in distant signals and repairs the attenuation loss of each segment of multiple signals into a single signal. The repaired signal is then input into the amplification selection module. The amplification selection module selects an appropriate amplification factor based on the fluctuation range of the signal for the near signal and amplifies the repaired near signal based on the fluctuation range of the signal. S4. The playback module converts all received audio signals into sound wave signals, and then plays the sound wave signals through the speaker.

[0006] As a preferred technical solution of the present invention, in step S1, the four microphones of the signal receiving module are symmetrically arranged on both sides of the human body. When the audio transmission is carried by the microphone in one direction, the two microphones on the side closer to the sound source first receive the sound wave signal. After a period of time, the two microphones on the side farther away from the sound source receive the sound wave signal. If the sound wave signal is heavily attenuated, then the four microphones will have two identical high-frequency signals generated.

[0007] As a preferred technical solution of the present invention, in step S2, after the signal analysis module receives four sets of digital signals at the same time, it compares the fluctuation frequency of the four sets of digital signals. After the parts with the same frequency in the four signals are matched one by one, the high frequencies of the different parts of the signals are arranged in order, and the high frequencies that exist alone in the signal are deleted. If two identical high frequency signals remain, it is determined that there is a high attenuation.

[0008] As a preferred technical solution of the present invention, in step S3, the signal repair module will eliminate the noise signal in the four groups of signals, and then compare the different high-frequency signal parts in pairs, and select the signal with weaker attenuation in the four groups of high-frequency signals to cover the signal with stronger attenuation.

[0009] A hearing aid audio distance segmentation system includes the following modules: The signal receiving module receives audio through four sets of microphones, then converts the four sets of audio into digital signals, which are segmented according to time. The signal analysis module analyzes and compares four sets of digital signals, comparing the same parts of each set of signals in the same period, and then comparing the high-frequency signals between the same parts to analyze whether there is attenuation in the high-frequency signals. The signal repair module eliminates noise from distant signals and repairs the attenuated parts of each of the multiple signals into a single signal. The repaired signal is then input into the amplification and selection module. The amplification selection module selects an appropriate amplification factor for the near-field signal based on the signal's fluctuation range, and amplifies the repaired near-field signal again based on the same amplification factor. The playback module converts all received audio signals into sound wave signals, which are then played through the speaker.

[0010] The beneficial effects achieved by this invention are as follows: This invention provides an audio distance segmentation method for hearing aids. This method analyzes and compares four sets of digital signals through a signal analysis module, compares the high-frequency signals, and analyzes whether there is attenuation in the high-frequency band signals. When the differences in the high-frequency signals among the four sets of signals are irregular, it can be considered that the audio signal attenuation is relatively light, and the signal to be distinguished is a near signal. When the differences in the high-frequency signals among the four sets of signals are identical in pairs, it can be considered that the audio signal attenuation is relatively heavy, and the signal to be distinguished is a far signal. In this way, the distance of the sound can be clearly distinguished, preventing the processor from misjudging and causing the processed sound distortion. Attached Figure Description

[0011] Figure 1 This is a block diagram of the present invention; Figure 2 This is a flowchart of the present invention. Detailed Implementation

[0012] The technical solutions in the embodiments of the present invention will be clearly and completely described below. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0013] Please see Figure 1-2 This invention provides a technical solution: a method for audio distance segmentation in hearing aids, comprising the following steps: S1. Audio is received through four microphones of the signal receiving module, and then the received audio is converted into digital signals, which are segmented according to time. S2. The signal analysis module analyzes and compares the four sets of digital signals, compares the same parts of each set of signals in the same period, and then compares the high-frequency signals between the same parts of the signals to analyze whether there is attenuation of the high-frequency signals. When the differences of the high-frequency signals in the four sets of signals are irregular, it can be considered that the audio signal attenuation is relatively light and the signal is a nearby signal. When the differences of the high-frequency signals in the four sets of signals are identical in pairs, it can be considered that the audio signal attenuation is relatively heavy and the signal is a distant signal. S3. The signal repair module eliminates noise in distant signals and repairs the attenuation loss of each segment of multiple signals into a single signal. The repaired signal is then input into the amplification selection module. The amplification selection module selects an appropriate amplification factor based on the fluctuation range of the signal for the near signal and amplifies the repaired near signal based on the fluctuation range of the signal. S4. The playback module converts all received audio signals into sound wave signals, and then plays the sound wave signals through the speaker.

[0014] As a preferred technical solution of the present invention, in step S1, the four microphones of the signal receiving module are symmetrically arranged on both sides of the human body. When the audio transmission is carried by the microphone in one direction, the two microphones on the side closer to the sound source first receive the sound wave signal. After a period of time, the two microphones on the side farther away from the sound source receive the sound wave signal. If the sound wave signal is heavily attenuated, then the four microphones will have two identical high-frequency signals generated. The human auditory system uses the volume and time differences between the two ears to determine the location of a sound, including its distance. Hearing aids simulate this binaural effect to help users determine the location of a sound source. When there is a significant difference in the signal attenuation intensity on the side closer to the sound source compared to the side farther away from the sound source, it can be determined that the sound has increased attenuation before it is received, resulting in an extremely unstable signal received by the hearing aid.

[0015] As a preferred technical solution of the present invention, in step S2, after the signal analysis module receives four sets of digital signals at the same time, it compares the fluctuation frequency of the four sets of digital signals. After the parts with the same frequency in the four signals are matched one by one, the high frequencies of the different parts of the signals are arranged in order, and the high frequencies that exist alone in the signal are deleted. If two identical high frequencies remain, it is determined that there is a high attenuation. When there are two identical high-frequency signals in each of the four microphones, the signal attenuation intensity received by the side closer to the sound source will be significantly different from that of the side farther away from the sound source. This is a characteristic of long-range sound signals. At this time, the two microphones on the side closer to the sound source receive the same signal, and the two microphones on the side farther away from the sound source also receive the same signal. This is how two identical sets of signals are generated.

[0016] As a preferred technical solution of the present invention, in step S3, the signal repair module will eliminate the noise signal in the four groups of signals, and then compare the different high-frequency signal parts in pairs, and select the signal with weaker attenuation in the four groups of high-frequency signals to cover the signal with stronger attenuation. The signal repair module can only repair the signal by taking the signals received by the two microphones on the side closest to the sound source. At this time, it can calculate the attenuation ratio of two identical sets of signals, calculate the true overall attenuation of the high-frequency signal, and then adjust the frequency of the high-frequency signal according to the calculated data. This reduces the difference between the attenuated signal and the sound source signal, thus achieving the signal repair effect.

[0017] A hearing aid audio distance segmentation system includes the following modules: The signal receiving module receives audio through four sets of microphones, then converts the four sets of audio into digital signals, which are segmented according to time. The signal analysis module analyzes and compares four sets of digital signals, comparing the same parts of each set of signals in the same period, and then comparing the high-frequency signals between the same parts to analyze whether there is attenuation in the high-frequency signals. The signal repair module eliminates noise from distant signals and repairs the attenuated parts of each of the multiple signals into a single signal. The repaired signal is then input into the amplification and selection module. The amplification selection module selects an appropriate amplification factor for the near-field signal based on the signal's fluctuation range, and amplifies the repaired near-field signal again based on the same amplification factor. The playback module converts all received audio signals into sound wave signals, which are then played through the speaker.

[0018] Specifically, this method first receives audio through four microphones of the signal receiving module, then converts the four audio signals into digital signals. The digital signals are segmented according to time, and the signal analysis module analyzes and compares the four digital signals, comparing the same parts of each signal in the same segment. Then, the high-frequency signals between the same parts are compared to analyze whether there is attenuation in the high-frequency signals. When the differences in the high-frequency signals in the four signals are irregular, the audio signal attenuation is considered to be light, and the signal is identified as a near signal. When the differences in the high-frequency signals in the four signals are identical in pairs, the audio signal attenuation is considered to be heavy, and the signal is identified as a distant signal. The signal repair module eliminates noise in the distant signal and repairs the missing attenuation parts of each segment into a single signal. The repaired signal is input into the amplification and selection module. The amplification and selection module selects an appropriate amplification factor for the near signal based on the signal fluctuation range and selects an appropriate amplification factor for the repaired near signal based on the signal fluctuation range. The playback module converts all received audio signals into sound wave signals, and then plays the sound wave signals through a speaker.

[0019] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A method for segmenting audio distance in a hearing aid, characterized in that, Includes the following steps: S1. Audio is received through four microphones of the signal receiving module, and then the received audio is converted into digital signals, which are segmented according to time. S2. The signal analysis module analyzes and compares the four sets of digital signals, compares the same parts of each set of signals in the same period, and then compares the high-frequency signals between the same parts of the signals to analyze whether there is attenuation of the high-frequency signals. When the differences of the high-frequency signals in the four sets of signals are irregular, it can be considered that the audio signal attenuation is relatively light and the signal is a nearby signal. When the differences of the high-frequency signals in the four sets of signals are identical in pairs, it can be considered that the audio signal attenuation is relatively heavy and the signal is a distant signal. S3. The signal repair module eliminates noise in distant signals and repairs the attenuation loss of each segment of multiple signals into a single signal. The repaired signal is then input into the amplification selection module. The amplification selection module selects an appropriate amplification factor based on the fluctuation range of the signal for the near signal and amplifies the repaired near signal based on the fluctuation range of the signal. S4. The playback module converts all received audio signals into sound wave signals, and then plays the sound wave signals through the speaker.

2. The hearing aid audio distance segmentation method according to claim 1, characterized in that: In step S1, the four microphones of the signal receiving module are symmetrically arranged on both sides of the human body. When the audio transmission is carried by the microphone in one direction, the two microphones on the side closer to the sound source first receive the sound wave signal. After a period of time, the two microphones on the side farther away from the sound source receive the sound wave signal. If the sound wave signal is heavily attenuated, then the four microphones will produce the same high-frequency signal in pairs.

3. The hearing aid audio distance segmentation method according to claim 1, characterized in that: In step S2, after the signal analysis module receives four sets of digital signals from the same period, it compares the fluctuation frequency of the four sets of digital signals. After the parts with the same frequency in the four signals are matched one by one, the high frequencies of the different parts of the signal are arranged in order, and the high frequencies that exist alone in the signal are deleted. If two identical high frequencies remain, it is determined that there is a high attenuation.

4. The hearing aid audio distance segmentation method according to claim 1, characterized in that: In step S3, the signal repair module will eliminate noise signals in the four groups of signals, then compare the different high-frequency signal parts in pairs, and select the weaker attenuated signal from the four groups of high-frequency signals to cover the stronger attenuated signal.

5. A hearing aid audio distance segmentation system based on claims 1-4, characterized in that: Includes the following modules: The signal receiving module receives audio through four sets of microphones, then converts the four sets of audio into digital signals, which are segmented according to time. The signal analysis module analyzes and compares four sets of digital signals, comparing the same parts of each set of signals in the same period, and then comparing the high-frequency signals between the same parts to analyze whether there is attenuation in the high-frequency signals. The signal repair module eliminates noise from distant signals and repairs the attenuated parts of each of the multiple signals into a single signal. The repaired signal is then input into the amplification and selection module. The amplification selection module selects an appropriate amplification factor for the near-field signal based on the signal's fluctuation range, and amplifies the repaired near-field signal again based on the same amplification factor. The playback module converts all received audio signals into sound wave signals, which are then played through the speaker.

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