Presentation 2004/12/14
Multi-Channel Estimation of the Power Spectral Density of Noise for Mixtures of Non-Stationary Signals
Wolfgang HERBORDT, Satoshi NAKAMURA, Walter KELLERMANN,
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Abstract(in English) The proposed paper deals with the estimation of the power spectral density (PSD) of noise for mixtures of non-stationary wideband signals exploiting sparseness in the time-frequency domain. The proposed method is applied to realize a beam former-plus-post filter structure for noise-robust speech recognition. Experiments with a small-scale 4-sensor microphones array show that interfering speech and music can be suppressed by 13 dB for an average signal-to-noise ratio of 0 dB without impairing the quality of the desired speech signal and without introducing 'musical noise'. This noise suppression is reflected by the improvement of the word accuracy of a connected-digit speech recognizer.
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Keyword(in English) Noise estimation / microphone arrays / beam forming / speech recognition
Paper # NLC2004-76,SP2004-116
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Committee SP
Conference Date 2004/12/14(1days)
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Registration To Speech (SP)
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Multi-Channel Estimation of the Power Spectral Density of Noise for Mixtures of Non-Stationary Signals
Sub Title (in English)
Keyword(1) Noise estimation
Keyword(2) microphone arrays
Keyword(3) beam forming
Keyword(4) speech recognition
1st Author's Name Wolfgang HERBORDT
1st Author's Affiliation ATR Spoken Language Translation Research Laboratories()
2nd Author's Name Satoshi NAKAMURA
2nd Author's Affiliation ATR Spoken Language Translation Research Laboratories
3rd Author's Name Walter KELLERMANN
3rd Author's Affiliation Telecommunications Laboratory, University Erlangen-Nuremberg
Date 2004/12/14
Paper # NLC2004-76,SP2004-116
Volume (vol) vol.104
Number (no) 542
Page pp.pp.-
#Pages 6
Date of Issue