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A two-step NMF based algorithm for single channel speech separation

  • Beihang University

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

Nonnegative Matrix Factorization (NMF) has become an increasingly popular method in the field of non-stationary speech denoising. However most NMF-based algorithms assume prior knowledge about the background noise, which is often not available in time-varying and mobile environments. In this paper, we propose a two-step NMF based speech-noise separation algorithm to address this issue. This algorithm takes the outcome of the first NMF separation as the dataset to train the basis vectors for the background noise, which will be used for the second-step NMF separation with fixed speech and noise basis vectors. Experimental results show that the proposed algorithm could achieve better results than other NMF algorithms for speech-noise separation.

源语言英语
主期刊名13th Annual Conference of the International Speech Communication Association 2012, INTERSPEECH 2012
1987-1990
页数4
出版状态已出版 - 2012
活动13th Annual Conference of the International Speech Communication Association 2012, INTERSPEECH 2012 - Portland, OR, 美国
期限: 9 9月 201213 9月 2012

出版系列

姓名13th Annual Conference of the International Speech Communication Association 2012, INTERSPEECH 2012
3

会议

会议13th Annual Conference of the International Speech Communication Association 2012, INTERSPEECH 2012
国家/地区美国
Portland, OR
时期9/09/1213/09/12

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