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Science / Speech synthesis / Speech recognition / Assistive technology / Articulatory synthesis / Speech organ / Hidden Markov model / Voice / HTK / Phonetics / Linguistics / Computational linguistics


INTERSPEECHHMM-based Text-to-Articulatory-Movement Prediction and Analysis of Critical Articulators Zhen-Hua Ling1 , Korin Richmond2 , Junichi Yamagishi2 1
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Document Date: 2010-11-09 07:30:24

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City

Chiba / /

Country

Japan / United Kingdom / China / /

Currency

USD / /

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Facility

Prentice Hall / Ludwig-Maximilian University / University of Science / University of Edinburgh / /

IndustryTerm

potential applications / neural network / parameter generation algorithms / /

Organization

Cambridge University Engineering Department / University of Science and Technology of China / iFLYTEK Speech Lab / Prediction for Critical Articulators In / University of Edinburgh / Prediction / Ludwig-Maximilian University / Munich / Acoustical Society of America / Engineering and Physical Sciences Research Council / National Nature Science Foundation of China / /

Person

D. Povey / V / Phil Hoole / Junichi Yamagishi / Korin Richmond / Hua Ling / /

Position

speaker / model / ” IEEE Trans / /

Product

Altec XT1 Speakers / /

PublishedMedium

the Speech Communication journal / /

Technology

speech recognition / MLPG algorithm / X-ray / neural network / text-to-speech / Speech parameter generation algorithms / Technology of China / /

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