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このアイテムの引用には次の識別子を使用してください:
http://hdl.handle.net/10119/9580
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| タイトル: | Voice activity detection in a regularized reproducing kernel Hilbert space |
| 著者: | Lu, Xugang
Unoki, Masashi
Isotani, Ryosuke
Kawai, Hisashi
Nakamura, Satoshi |
| キーワード: | Statistical learning
reproducing kernel Hilbert space
voice activity detection |
| 発行日: | 2010-09 |
| 出版者: | International Speech Communication Association |
| 誌名: | Proceedings of INTERSPEECH 2010 |
| 開始ページ: | 3086 |
| 終了ページ: | 3089 |
| 抄録: | Voice activity detection (VAD) is used to detect whether the acoustic signal belongs to speech or non-speech clusters based on the statistical distribution of the acoustic features. Traditional VAD algorithms are applied in a linear transformed space without any constraint relating to the special characteristics speech or noise. As a result, the VAD algorithms are not robust to noise interference. Considering that speech is a special type of acoustic signal that only occupies a small fraction of the whole acoustic space, we proposed a new speech feature extraction method by giving constraints on the processing space as a reproducing kernel Hilbert space (RKHS). In the RKHS, we regarded the speech estimation as a functional approximation problem, and estimated the approximation function via a regularized framework in the RKHS. Under this framework, we could incorporate the nonlinear mapping functions in the approximation implicitly via a kernel function. The approximation function could capture the nonlinear and high-order statistical regularities of the speech. Our VAD algorithm is designed on the basis of the power energy in this regularized RKHS. Compared with a baseline and G.729B VAD algorithms, experimental results showed the promising advantages of our proposed algorithm. |
| Rights: | Copyright (C) 2010 International Speech Communication Association. Xugang Lu, Masashi Unoki, Ryosuke Isotani, Hisashi Kawai, and Satoshi Nakamura, Proceedings of INTERSPEECH 2010, 2010, 3086-3089. |
| URI: | http://hdl.handle.net/10119/9580 |
| 資料タイプ: | publisher |
| 出現コレクション: | b11-1. 会議発表論文・発表資料 (Conference Papers)
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このアイテムのファイル:
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記述 |
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| 15957-1.pdf | | 320Kb | Adobe PDF | 見る/開く |
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