Solution of underdetermined speech separation problems by combining ICA and time-frequency masking methods (音声)
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概要
- 論文の詳細を見る
Blind source separation of speech signals has many potential applications. Toward practical applications, underdetermined problem attracts much interest. This paper proposes a new approach to solve underdetermined problem. There are three stages in the approach: 1) Separate mixtures into two independent parts; 2) Two time-frequency masks are then generated; 3) Conventional time-frequency masking method is applied to separate each source. Experimental results prove the effectiveness of the proposal. Compared with conventional methods, the proposal improyes signal-to-interference ratio by at least 4〜5dB in the same setup. The advantages of the proposed method are simple array configuration, low computation cost, and higher separation performance.
- 社団法人電子情報通信学会の論文
- 2007-09-21
著者
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Yang Fan
Signal Processing Lab. School Of Integrated Design Engineering Keio University
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Hamada Nozomu
Signal Processing Lab. School Of Integrated Design Engineering Keio University
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Hamada Nozomu
Signal Processing Lab. Graduate School Of Integrated Design Engineering Keio University
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