Method for reducing noise by using hearing threshold of impaired hearing

A hearing and noise reduction technology, applied in speech analysis, instruments, etc., can solve problems such as lack of pertinence and complexity, and achieve the effect of avoiding music noise

Inactive Publication Date: 2010-12-01
INST OF ACOUSTICS CHINESE ACAD OF SCI
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

The actual hearing loss is more complicated. Different hearing loss patients have different hearing thresholds. The same patient has d...

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  • Method for reducing noise by using hearing threshold of impaired hearing
  • Method for reducing noise by using hearing threshold of impaired hearing
  • Method for reducing noise by using hearing threshold of impaired hearing

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Embodiment Construction

[0059] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0060] Such as figure 1 and image 3 As shown, the invention is applied to digital hearing aids, multi-channel processing is performed on the signal, noise reduction and hearing compensation of the patient are processed in series, and the steps are as follows:

[0061] i. Sub-band: Weighted Overlap-added (WOLA) is used to analyze and process the input signal, divide the signal into N sub-bands, and perform other processing independently in each sub-band.

[0062] Suppose x(n) is a noisy speech signal, after passing through the WOLA analysis filter bank, the signal of each subband is expressed as:

[0063] X ~ k ( m ) = W K - kmR Σ r ...

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Abstract

The invention relates to a method for reducing a noise by using the hearing threshold of impaired hearing. The method comprises the following steps of: dividing an input speech signal into N subband signals, compensating the hearing, respectively reducing the noise of the subband signals, and comprehensively processing various paths of input subband signals into a path of output signals by a weighted stacking filter bank. The invention provides a generalized spectral subtraction method according to noise levels and hearing threshold adjustment parameters, wherein a posteriori signal-to-noise ratio is replaced by an a priori signal-to-noise ratio to adjust a gain function, so that musical noise generated by noise reduction can be effectively reduced. The noise reduction gain function is related to the signal-to-noise ratio, and is adjusted according to the noise levels and the hearing threshold of a patient; when the hearing threshold is high, the suppression to the noise is low, and speech distortion is reduced simultaneously; and when the hearing threshold is low, the suppression to the noise is increased so as to improve listening comfort, so that the method has pertinence to different hearing loss conditions and different noise conditions, and makes the suppression effect and the speech distortion relatively balanced.

Description

technical field [0001] The invention belongs to the field of speech signal processing, and in particular relates to a method for reducing noise by using the hearing threshold of impaired hearing. Adjusting the gain function parameters according to the noise level, hearing threshold or auditory masking threshold for noise reduction, the method is especially suitable for digital hearing aids, but Not limited to digital hearing aids, it can also be used in other equipment and fields where voice signals are polluted by noise, such as voice communication, assistive hearing equipment, telephones, etc. Background technique [0002] The ability of the hearing-impaired person to distinguish speech in an environment with background noise is greatly reduced, and the background noise will cause the listener's hearing fatigue and further reduce the remaining resolution. Therefore, noise reduction processing in digital hearing aids is a must. It is very necessary, and its main purpose is ...

Claims

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Application Information

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IPC IPC(8): G10L21/02G10L21/0216
Inventor 崔杰肖灵张云翼王玥孟晓辉
Owner INST OF ACOUSTICS CHINESE ACAD OF SCI
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