Item type |
学術雑誌論文 / Journal Article(1) |
公開日 |
2008-12-16 |
タイトル |
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タイトル |
Speech Enhancement Based on Auto Gain Control |
キーワード |
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主題Scheme |
Other |
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主題 |
Auto gain control |
キーワード |
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主題Scheme |
Other |
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主題 |
directional microphone |
キーワード |
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主題Scheme |
Other |
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主題 |
spectral subtraction |
キーワード |
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主題Scheme |
Other |
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主題 |
speech enhancement |
キーワード |
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主題Scheme |
Other |
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主題 |
weighting function |
キーワード |
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主題Scheme |
Other |
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主題 |
Wiener gain |
資源タイプ |
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資源タイプ識別子 |
http://purl.org/coar/resource_type/c_6501 |
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資源タイプ |
journal article |
著者 |
Nagata, Yoshifumi
Fujioka, Toyota
Abe, Masato
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著者(機関) |
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値 |
Department of Computer and Information Science, Iwate University |
登録日 |
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日付 |
2008-12-16 |
書誌情報 |
IEEE Transactions on Audio Speech and Language Processing
巻 14,
号 1,
p. 177-190,
発行日 2006-01-01
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ISSN |
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収録物識別子タイプ |
ISSN |
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収録物識別子 |
1558-7916 |
Abstract |
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内容記述タイプ |
Other |
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内容記述 |
We propose a new method of speech enhancement based on auto gain control (AGC) using two channel inputs to deal with transient noises. Auto gain control is considered to be relatively ineffective for reducing noises that are superimposed on speech. Nevertheless, it offers advantages for addressing problems posed by musical noise and spectral distortion. This method combines two operations for obtaining accurate gain. One is spectral subtraction for two-channel input (2chSS); the other is self-offset of the noise with pre-whitening. This study also addresses a coherence based post-filter to reduce uncorrelated noise components among channels. The proposed method is evaluated in experiments across three noise conditions in which (i) impulsive noises, (ii) stationary car noise, and (iii) speech noise are present, respectively. Objective measures and spectrograms demonstrate marked improvements over other two-microphone based methods, but subjective preference tests reveal that the proposed method is less preferred than the equivalent of a nonprocessed signal in the case of stationary car noise (ii). The performance of the proposed method and the conventional 2chSS were even in the case of speech noise (iii). These results of subjective tests reflect some disadvantages of the AGC processing. Those drawbacks involve degradation of noise consistency in stationary noise conditions and residual noises in desired speech segments. Nevertheless, subjective tests in the case of noise (i) demonstrate that the proposed method is the most preferred among the methods compared here. The effectiveness of the proposed method is confirmed particularly for this noise condition. |
出版者 |
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出版者 |
IEEE |
権利 |
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権利情報 |
© 2006 IEEE |
DOI |
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関連タイプ |
isIdenticalTo |
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識別子タイプ |
DOI |
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関連識別子 |
10.1109/TSA.2005.854112 |
著者版フラグ |
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出版タイプ |
VoR |
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出版タイプResource |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |