Presentation 2002/12/13
Unsupervised Language Model Adaptation for Lecture Speech Recognition
Hiroaki NANJO, Tatsuya KAWAHARA, Atsushi YAMADA, Kiyotaka UCHIMOTO,
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Abstract(in English) This paper addresses speaker adaptation of language model in large vocabulary spontaneous speech recognition. In spontaneous speech, the expression and pronunciation of words vary a lot depending on the speaker and topic. Therefore, we present unsupervised methods of language model adaptation to a specific speaker by (1) making direct use of the initial recognition result for generating an enhanced model, and (2) selecting similar texts for adaptation utterance by utterance. We also investigate the pronunciation variation modeling and its adaptation in the same framework. It is confirmed that all proposed adaptation methods and their combinations reduced the perplexity and word error rate in transcription of real lectures.
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Keyword(in English) automatic speech recognition / spontaneous speech / lecture speech / language model / unsupervised adaptation
Paper # NLC2002-75
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Committee NLC
Conference Date 2002/12/13(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) Unsupervised Language Model Adaptation for Lecture Speech Recognition
Sub Title (in English)
Keyword(1) automatic speech recognition
Keyword(2) spontaneous speech
Keyword(3) lecture speech
Keyword(4) language model
Keyword(5) unsupervised adaptation
1st Author's Name Hiroaki NANJO
1st Author's Affiliation Graduate School of Informatics, Kyoto University()
2nd Author's Name Tatsuya KAWAHARA
2nd Author's Affiliation Graduate School of Informatics, Kyoto University
3rd Author's Name Atsushi YAMADA
3rd Author's Affiliation Advanced Software Technology & Mechatronics Research Institute of KYOTO (ASTEM):Comunications Research Laboratory
4th Author's Name Kiyotaka UCHIMOTO
4th Author's Affiliation Comunications Research Laboratory
Date 2002/12/13
Paper # NLC2002-75
Volume (vol) vol.102
Number (no) 528
Page pp.pp.-
#Pages 6
Date of Issue