Title :
Adaptive Training for Hidden Semi-Markov Model
Author :
Yamagishi, Junichi ; Kobayashi, Takao
Author_Institution :
Interdisciplinary Graduate Sch. of Sci. & Eng., Tokyo Inst. of Technol., Japan
fDate :
March 18-23, 2005
Keywords :
hidden Markov models; maximum likelihood estimation; regression analysis; speech intelligibility; speech synthesis; HSMM adaptive training technique; MLLR adaptation; acoustic variability normalization; canonical model state duration distributions; hidden semi-Markov models; maximum likelihood linear regression; speaker difference normalization; speaker independent training; speech synthesis system; synthesized speech intelligibility; synthesized speech naturalness; Acoustical engineering; Adaptation model; Databases; Hidden Markov models; Loudspeakers; Maximum likelihood linear regression; Power system modeling; Probability distribution; Speech synthesis; System testing;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2005. Proceedings. (ICASSP '05). IEEE International Conference on
Print_ISBN :
0-7803-8874-7
DOI :
10.1109/ICASSP.2005.1415126