Presentation 2007/12/13
Distortion measure used for performance estimation of speech recognition system under noise conditions
Tomokazu HASHIMOTO, Takeshi YAMADA, Nobuhiko KITAWAKI,
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Abstract(in English) Recently, we have developed a method for estimating the recognition performance using the PESQ that is the distortion measure standardized by the ITU-T as Rec. P.862. This method can give an accurate estimate only when the estimator optimized for the noise reduction algorithm used is available. However, practically the single estimator that can be used for various noise reduction algorithms is required. This problem is caused by an inconsistency between the distortion value and the recognition performance. This paper describes the effectiveness of the modified PESQ developed to solve this problem.
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Keyword(in English) noisy speech recognition / performance estimation / distortion measure / artificial voice
Paper # NLC2007-36,SP2007-99
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Committee NLC
Conference Date 2007/12/13(1days)
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Registration To Natural Language Understanding and Models of Communication (NLC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Distortion measure used for performance estimation of speech recognition system under noise conditions
Sub Title (in English)
Keyword(1) noisy speech recognition
Keyword(2) performance estimation
Keyword(3) distortion measure
Keyword(4) artificial voice
1st Author's Name Tomokazu HASHIMOTO
1st Author's Affiliation Graduate School of Systems and Information Engineering, University of Tsukuba()
2nd Author's Name Takeshi YAMADA
2nd Author's Affiliation Graduate School of Systems and Information Engineering, University of Tsukuba
3rd Author's Name Nobuhiko KITAWAKI
3rd Author's Affiliation Graduate School of Systems and Information Engineering, University of Tsukuba
Date 2007/12/13
Paper # NLC2007-36,SP2007-99
Volume (vol) vol.107
Number (no) 405
Page pp.pp.-
#Pages 6
Date of Issue