Presentation 2002/7/18
Reducing Noise Mixed with Speech Sound by Applying Image Processing Techniques to the Spectrogram : Separation of speech sound form noise within a car
Kensaku ASAHI, Yuji SAGAWA, Noboru SUGIE,
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Abstract(in English) Speech recognition systems have come to be used widely. When surrounding noises disturb a speech recognition system, considerable reduction in the recognition rate is inevitable. We have to develop noise reduction methods so that any speech recognition system can be used in realistic environments. We propose a novel method for reducing the noise. The reduction is achieved by applying image processing techniques to the corresponding spectrograms. Experiments were conducted on speech sounds contaminated with noises. The performances were evaluated by the cross correlation measure and compared with other methods. The proposed method was much superior to other methods.
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Keyword(in English) Noise in a car / Spectrogram / Image Processing / Noise reduction / Speech Recognition
Paper # ITS2002-19
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Committee ITS
Conference Date 2002/7/18(1days)
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Registration To Intelligent Transport Systems Technology (ITS)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Reducing Noise Mixed with Speech Sound by Applying Image Processing Techniques to the Spectrogram : Separation of speech sound form noise within a car
Sub Title (in English)
Keyword(1) Noise in a car
Keyword(2) Spectrogram
Keyword(3) Image Processing
Keyword(4) Noise reduction
Keyword(5) Speech Recognition
1st Author's Name Kensaku ASAHI
1st Author's Affiliation Department of Electrical and Electronic Engineering, Graduate School of Science and Technology, Meijo University()
2nd Author's Name Yuji SAGAWA
2nd Author's Affiliation Department of Information Sciences, Faculty of Science and Technology, Meijo University
3rd Author's Name Noboru SUGIE
3rd Author's Affiliation Department of Information Sciences, Faculty of Science and Technology, Meijo University
Date 2002/7/18
Paper # ITS2002-19
Volume (vol) vol.102
Number (no) 233
Page pp.pp.-
#Pages 6
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