Multi-objective learning based speech enhancement method to increase speech quality and intelligibility for hearing aid device users

Publication date: February 2019Source: Biomedical Signal Processing and Control, Volume 48Author(s): Ying-Hui Lai, Wei-Zhong ZhengAbstractBackground noise is a critical issue for hearing aid device users; a common solution to address this problem is speech enhancement (SE). In recent times, a novel SE approach based on deep learning technology, called deep denoising autoencoder (DDAE), has been proposed. Previous studies show that the DDAE SE approach provides superior noise suppression capabilities and produces less distortion than any of the classical SE approaches in the case of processed speech. Motivated by the improved results using DDAE shown in previous studies, we propose the multi-objective learning-based DDAE (M-DDAE) SE approach in this study; in addition, we evaluated its spee...

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