Articulatory control of HMM-based parametric speech synthesis driven by phonetic knowledge

Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH

Volumn , Issue , 2008, Pages 573-576

  Ling, Zhen Hua ^a   Richmond, Korin ^b   Yamagishi, Junichi ^b   Wang, Ren Hua ^a  

^a UNIVERSITY OF SCIENCE AND TECHNOLOGY OF CHINA   (China)

^b UNIVERSITY OF EDINBURGH   (United Kingdom)

Author keywords

Articulatory features; Hidden Markov model; Phonetic knowledge; Speech synthesis

Indexed keywords

ARTICULATORY FEATURES; GENERATION PROCESS; JOINT DISTRIBUTIONS; MAXIMUM LIKELIHOOD CRITERION; MODEL ADAPTATION; PHONETIC KNOWLEDGE; SPEAKING STYLES; SPEECH SYNTHESIS SYSTEM; SYNTHESIS TIME; SYNTHESIZED SPEECH; SYNTHETIC SPEECH; TARGET SPEECH;

CONTROL SYSTEM SYNTHESIS; HIDDEN MARKOV MODELS; LINGUISTICS; MAXIMUM LIKELIHOOD; QUALITY CONTROL; SPEECH SYNTHESIS;

SPEECH COMMUNICATION;

EID: 84867197177     PISSN: None     EISSN: 19909772     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (9)

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