Presentation 2001/4/13
Noise suppression with high speech quality based on weighted noise estimation and MMSE STSA
Masanori Kato, Akihiko Sugiyama, Masahiro Serizawa,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) A noise suppression algorithm with high speech quality based on weighted noise estimation and MMSE STSA is proposed. The proposed algorithm continuously updates the estimated noise by weighted noisy speech in accordance with an estimated SNR. The spectral gain is modified with the estimated SNR so that it can better utilize the improvement in noise estimation. Subjective evaluation results show that five-grade mean opinion scores of the new algorithm with and without a speech codec are improved by as much as 0.35 and 0.40 respectively, compared with either the original MMSE STSA or the EVRC noise suppression algorithm.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Noise Suppression / Speech Enhancement / Noise Estimation / Short Time Spectral Amplitude
Paper # DSP2001-8,IE2001-8,MI2001-8
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Committee IE
Conference Date 2001/4/13(1days)
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Registration To Image Engineering (IE)
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Noise suppression with high speech quality based on weighted noise estimation and MMSE STSA
Sub Title (in English)
Keyword(1) Noise Suppression
Keyword(2) Speech Enhancement
Keyword(3) Noise Estimation
Keyword(4) Short Time Spectral Amplitude
1st Author's Name Masanori Kato
1st Author's Affiliation NEC Multimedia Research Laboratories()
2nd Author's Name Akihiko Sugiyama
2nd Author's Affiliation NEC Multimedia Research Laboratories
3rd Author's Name Masahiro Serizawa
3rd Author's Affiliation NEC Multimedia Research Laboratories
Date 2001/4/13
Paper # DSP2001-8,IE2001-8,MI2001-8
Volume (vol) vol.101
Number (no) 19
Page pp.pp.-
#Pages 8
Date of Issue