Presentation 2005/12/14
Acoustic models for utterance variation in broadcast commentary and conversation
Shoei SATO, Kazuo ONOE, Shinich HOMMA, Akio KOBAYASHI, Toru IMAI,
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Abstract(in English) This paper investigates acoustic models for utterance variation and their units to improve recognition performance. Using a phoneme or a word as a unit of the variation, the models for utterance variation were trained for frequently observable variation. The variation models sharing HMMs among these models were also examined. The models trained for excitedly uttered words reduced 15% of key word erorrs in sports commentary. The models trained for rapidly pronounced reduced words 10% of word errors in conversational news. The results also showed dependence of the variation upon words.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Speech recognition / Acoustic model / Conversation / Utterance variation / Speech rate
Paper # NLC2005-62,SP2005-95
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Committee NLC
Conference Date 2005/12/14(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) Acoustic models for utterance variation in broadcast commentary and conversation
Sub Title (in English)
Keyword(1) Speech recognition
Keyword(2) Acoustic model
Keyword(3) Conversation
Keyword(4) Utterance variation
Keyword(5) Speech rate
1st Author's Name Shoei SATO
1st Author's Affiliation NHK Science and Techinical Research Laboratories()
2nd Author's Name Kazuo ONOE
2nd Author's Affiliation NHK Science and Techinical Research Laboratories
3rd Author's Name Shinich HOMMA
3rd Author's Affiliation NHK Science and Techinical Research Laboratories
4th Author's Name Akio KOBAYASHI
4th Author's Affiliation NHK Science and Techinical Research Laboratories
5th Author's Name Toru IMAI
5th Author's Affiliation NHK Science and Techinical Research Laboratories
Date 2005/12/14
Paper # NLC2005-62,SP2005-95
Volume (vol) vol.105
Number (no) 493
Page pp.pp.-
#Pages 6
Date of Issue