EUROSPEECH '89
First European Conference on Speech Communication and Technology

Paris, France
September 27-29, 1989

Noise Reduction of Speech by Neural Networks and Vector Quantization

Kazuo Nakata, Akihiko Sugiura

Faculty of Technology, Tokyo University of Agriculture and Technology, Koganei-Shi, Tokyo, Japan

In order to reduce the effects of noise mixed with a speech, a method of noise reduction is proposed. The method is composed of a combination of neural networks and vector quantization. A multi-stage neural networks is proposed. Each stage has a small number of output categories, and its performances are evaluated. The scheme is effective for noise reduction in the range of SNR better than 0 dB» and developed to be practicable by the introduction of reject and re-try process.

Full Paper

Bibliographic reference.  Nakata, Kazuo / Sugiura, Akihiko (1989): "Noise reduction of speech by neural networks and vector quantization", In EUROSPEECH-1989, 1633-1636.