Speech Enhancement Algorithm Based on Sound Source Localization and Scene Matching for Binaural Digital Hearing Aids

Abstract

At present, the speech enhancement algorithm in binaural digital hearing aids is mainly based on adaptive beamforming algorithm. This algorithm strongly depends on the environment. And the enhancement performance is not satisfactory, which makes it difficult for hearing loss people to get high intelligibility and comfort speech. To solve this problem, a binaural speech enhancement algorithm based on sound source localization and scene matching is proposed in this paper. First, the spatial information of sound source is extracted by the sound source localization algorithm based on head-related transfer function and Gaussian mixture model classifier with Gammatone filter decomposition. Second, noise in different directions from the speaker is removed by spatial filter. Third, the type of noise in the same direction from the speaker is recognized by the scene recognition algorithm based on multi-feature and weighted minimum distance classifier. Finally, according to the type of noise, the optimal speech enhancement method is chosen to remove this noise. Experiment results show that the proposed algorithm has better robustness, better speech enhancement performance and lower complexity than the contrast algorithm.