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Digital hearing aid voice noise elimination method

A technology for noise cancellation and hearing aids, applied in hearing aids, speech analysis, instruments, etc., can solve the problems of high computational complexity, failure to meet the real-time and power consumption requirements of digital hearing aids, etc.

Inactive Publication Date: 2016-03-09
GUANGZHOU UNIVERSITY
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AI Technical Summary

Problems solved by technology

However, most of these algorithms also have high computational complexity, which does not meet the requirements of digital hearing aids for real-time and power consumption constraints

Method used

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  • Digital hearing aid voice noise elimination method
  • Digital hearing aid voice noise elimination method
  • Digital hearing aid voice noise elimination method

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Embodiment Construction

[0065] The present invention will be further described below in conjunction with accompanying drawing and specific embodiment:

[0066] Such as figure 1 As shown, the digital hearing aid speech noise elimination method of the present invention mainly comprises the following steps:

[0067] S1. the sampling signal of input voice is divided into sub-bands and sub-frames to obtain each frame sub-band noise speech signal, which can be divided into sub-bands and then divided into frames, or can be divided into frames and then divided into sub-bands. In this embodiment, The order in which subbands are divided first and then frames are divided.

[0068] Splitting subbands includes the following steps:

[0069] The sampling frequency f of the speech signal input by the microphone s It is 16KHz. Due to the short-term stationarity of the voice signal, the length of a frame signal is 128 points, that is, 8ms. Set the sampling signal of the input speech as x(n), n represents a discret...

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Abstract

The invention relates to the technical field of voice signal processing and especially relates to a digital hearing aid voice noise elimination method. The method mainly comprises the following steps: S1) carrying out sub-band division and framing on sampled signals of input voice to obtain each frame of sub-band noise speech signal; S2) calculating a gain function of each frame of sub-band noise speech signal; S3) damping each frame of sub-band noise speech signal according to the gain function to obtain each frame of sub-band enhancing signal; and S4) enabling the sub-band enhancing signals to pass through synthesis filter banks and be added to obtain noise-reduced voice and then, outputting the noise-reduced voice. According to the method, computation complexity is reduced, and thus time delay and power consumption is reduced; and meanwhile, an improved algorithm enables signal-to-noise ratio of the noise-reduced voice to be improved by more than 5 dB, so that noise in the speech signals is effectively suppressed, intelligibility of the speech is improved and higher practical value is achieved.

Description

technical field [0001] The invention relates to the technical field of speech signal processing, in particular to a method for eliminating speech noise of a digital hearing aid. Background technique [0002] In digital hearing aids, the efficiency of noise reduction is critical for hearing loss patients. The signal-to-noise ratio of speech seriously affects the auditory cognition of patients with hearing loss. Compared with normal hearing people, they need a higher signal-to-noise ratio to understand the same speech. The noise reduction processing of speech in digital hearing aids can not only improve the audibility of speech for hearing-impaired patients, but also improve the intelligibility of speech for hearing-impaired patients. [0003] The traditional Wiener filtering noise elimination algorithm introduces the prior SNR when calculating the gain function, and uses the "direct decision" method to estimate the prior SNR, which effectively suppresses the noise in speech...

Claims

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Application Information

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IPC IPC(8): G10L21/0216H04R25/00
CPCG10L21/0216H04R25/505
Inventor 邹采荣汪家冬赵力王青云梁瑞宇
Owner GUANGZHOU UNIVERSITY
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