Presentation 2015-03-02
An Approach Combining Organizationally Noise, SNR and Voice Activity Estimation
Masaru FUJIEDA, Takashi YAZU,
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Abstract(in English) In general, a noise suppression using a single microphone needs signal-to-noise ratio (SNR) in each time-frequency point, and calculation of SNR requires prior estimation of a noise. A noise estimation is performed based on the result of voice activity detection (VAD) or a processing similar to the VAD, such as calculation of speech presence probability, therefore the accuracy of VAD is crucially important. In this paper, the organized noise scene analysis (ONSA) is proposed. ONSA estimates a noise, SNR and a voice activity period by exchanging information on them each other. The proposal method applies to the simple VAD, which achieves performance equivalent compared with the conventional method standardized in ETSI.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Organized Noise Scene Analysis (ONSA) / Noise Suppression / Noise Estimation / SNR Estimation / VAD
Paper # EA2014-80,SIP2014-121,SP2014-143
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Committee EA
Conference Date 2015/2/23(1days)
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Registration To Engineering Acoustics (EA)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) An Approach Combining Organizationally Noise, SNR and Voice Activity Estimation
Sub Title (in English)
Keyword(1) Organized Noise Scene Analysis (ONSA)
Keyword(2) Noise Suppression
Keyword(3) Noise Estimation
Keyword(4) SNR Estimation
Keyword(5) VAD
1st Author's Name Masaru FUJIEDA
1st Author's Affiliation Corporate R&D Center, Old Electric Industry Co., Ltd.()
2nd Author's Name Takashi YAZU
2nd Author's Affiliation Corporate R&D Center, Old Electric Industry Co., Ltd.
Date 2015-03-02
Paper # EA2014-80,SIP2014-121,SP2014-143
Volume (vol) vol.114
Number (no) 473
Page pp.pp.-
#Pages 6
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