Presentation 1998/12/11
Robust acoustic models by mixing distributions with various precision
Masaru Takano,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) In this report, new acoustic models made by mixing probabilistic distributions with various precision are proposed. The proposed models can prevent phonetic confusion among precise phonetic models caused by acoustic variations in spontaneous speech, while keeping the advantage of precise model that can deal with acoustic variations caused by phonetic environment. Distributions in the proposed models are taken from both precise cotext-dependent(CD)model and another rough model, such as context-independent model. By using distributions from rough model, a model can match acoustic features which don't fit the precise model because of variations due to spontaneity. Experiments on spontaneous speech for hotel reservation task indicated that some of the proposed models can reduce error rate with CD model by around 1/10.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) spontaneous speech / context-dependent model / context-independent model / robustness / continuous mixture density / precision / speech recognition
Paper # NLC98-51,SP98-115
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Conference Information
Committee NLC
Conference Date 1998/12/11(1days)
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Paper Information
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) Robust acoustic models by mixing distributions with various precision
Sub Title (in English)
Keyword(1) spontaneous speech
Keyword(2) context-dependent model
Keyword(3) context-independent model
Keyword(4) robustness
Keyword(5) continuous mixture density
Keyword(6) precision
Keyword(7) speech recognition
1st Author's Name Masaru Takano
1st Author's Affiliation ATR Interpreting Telecommunications Research Laboratories()
Date 1998/12/11
Paper # NLC98-51,SP98-115
Volume (vol) vol.98
Number (no) 461
Page pp.pp.-
#Pages 8
Date of Issue