Presentation 2006/12/14
Noise Detection with Multi-class AdaBoost
Nobuyuki MIYAKE, Tetsuya TAKIGUCHI, Yasuo ARIKI,
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Abstract(in English) A noise signal decreases speech recognition rate. Therefore, noise reduction is important, and it needs to estimate the noise signal. However, estimating noise is difficult when the noise happens suddenly in a speech. We proposed the method for detecting and identifying the noise in a speech, where it happens suddenly. Its effectiveness is confirmed at SNR -5~5dB for the noise duration time 200ms.
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Keyword(in English) noise detection / AdaBoost / Multi-class
Paper # NLC2006-30,SP2006-86
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Conference Information
Committee SP
Conference Date 2006/12/14(1days)
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Paper Information
Registration To Speech (SP)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Noise Detection with Multi-class AdaBoost
Sub Title (in English)
Keyword(1) noise detection
Keyword(2) AdaBoost
Keyword(3) Multi-class
1st Author's Name Nobuyuki MIYAKE
1st Author's Affiliation Department of Computer and System Engineering, Kobe University()
2nd Author's Name Tetsuya TAKIGUCHI
2nd Author's Affiliation Department of Computer and System Engineering, Kobe University
3rd Author's Name Yasuo ARIKI
3rd Author's Affiliation Department of Computer and System Engineering, Kobe University
Date 2006/12/14
Paper # NLC2006-30,SP2006-86
Volume (vol) vol.106
Number (no) 443
Page pp.pp.-
#Pages 6
Date of Issue