Presentation 2011-12-19
Phoneme Recognition based on AF-HMMs with Optimal State Configuration
Narpendyah W. ARIWARDHANI, Yurie IRIBE, Kouichi KATSURADA, Tsuneo NITTA,
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Abstract(in English) Speeh recognition based on one-model of articulatory movement HMMs that are commonly applied to both speech recognition (SR) and speech synthesis (SS) is described. In a SR module, speaker-invariant HMMs are applied to recognize articulatory feature (AF) sequence. This paper focuses on our approaches in designing an optimal state configuration for accurate phoneme recognizer based on articulatory movement. We consider several strategies to improve Articulatory Feature (AF) based phoneme recognition and compare its performance. In the experiments on Japanese Newspaper Article Sentences (JNAS) utterances, the approach of separating short vowel and long vowel in 5-states HMM triphone models provides higher accuracy compared to other approaches.
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Keyword(in English) Automatic speech recognition / Hidden Markov Model (HMM) / Articulatory Feature (AF) / One-model SR and SS
Paper # NLC2011-39,SP2011-84
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Committee NLC
Conference Date 2011/12/12(1days)
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Registration To Natural Language Understanding and Models of Communication (NLC)
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Phoneme Recognition based on AF-HMMs with Optimal State Configuration
Sub Title (in English)
Keyword(1) Automatic speech recognition
Keyword(2) Hidden Markov Model (HMM)
Keyword(3) Articulatory Feature (AF)
Keyword(4) One-model SR and SS
1st Author's Name Narpendyah W. ARIWARDHANI
1st Author's Affiliation Graduate School of Engineering, Toyohashi University of Technology()
2nd Author's Name Yurie IRIBE
2nd Author's Affiliation Graduate School of Engineering, Toyohashi University of Technology
3rd Author's Name Kouichi KATSURADA
3rd Author's Affiliation Graduate School of Engineering, Toyohashi University of Technology
4th Author's Name Tsuneo NITTA
4th Author's Affiliation Graduate School of Engineering, Toyohashi University of Technology
Date 2011-12-19
Paper # NLC2011-39,SP2011-84
Volume (vol) vol.111
Number (no) 364
Page pp.pp.-
#Pages 6
Date of Issue