Depth and breadth neural network combined speech enhancement algorithm of digital hearing aid

Abstract

The invention discloses a depth and breadth neural network combined speech enhancement algorithm of a digital hearing aid belonging to the speech signal processing technical field. The method comprises following steps: firstly, carrying out speech activity detection to noise contained speech signals; extracting features such as autocorrelation function maximum values and variances of frequency bands of the noise contained speech signals; building a two-value decision device by using a BP neural network; judging speech segments and noise segments; secondly, extracting MFCC and first level MFCC features; detecting noise types by a depth neural network, wherein the depth neural network is formed by cascading a learning vector quantization neural network and the BP neural network; finally, building a breadth neural network formed by connecting various networks in parallel; automatically selecting corresponding neural networks by the breadth neural network according to the noise types; removing the noises, thus obtaining the enhanced speech and improving the speech intelligibility of the hearing aid output speech. According to the algorithm, the training processes of the neural networks are finished offline; the complexity of the test algorithm of the trained networks is low; and therefore, the real timeliness is satisfied.

Description

technical field [0001] The invention belongs to the technical field of speech signal processing and relates to two key speech signal processing technologies of noise classification and speech enhancement in digital hearing aids. Background technique [0002] The transmission of information through voice is the most important, most effective, most commonly used and most convenient form of information exchange for human beings. However, for deaf and hearing-impaired patients, the inability to carry out normal voice communication will seriously affect their daily life. With the aging of the global social population becoming more and more obvious, the number of deaf and hearing-impaired patients is also increasing day by day, and the problem of hearing impairment is becoming more and more prominent. However, for most patients, wearing a suitable digital hearing aid can effectively improve their hearing status and greatly improve their hearing level. At present, there are many ...

AI Technical Summary

Problems solved by technology

Obviously, there is no speech enhancement algorithm that can adapt to all noise environments, which requires classifying the noise, and using different speech enhancement algorithms or models for different noises, so as to improve the adaptability of the algorithm, but the complexity of the algorithm will increase greatly

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