A speaker adaptation technique for mrhsmm-based style control of synthetic speech

Takashi Nose, Yoichi Kato, Takao Kobayashi

研究成果: Conference contribution

15 被引用数 (Scopus)

抄録

This paper describes a speaker adaptation technique for style control based on multiple regression hidden semi-Markov model (MRHSMM). In the MRHSMM-based style control technique, when available training data is very small. the resultant model would produce unnatural sounding speech. To overcome this problem, we propose a model adaptation technique for MRHSMM, which is similar to the MLLR adaptation technique used in speech recognition and speech synthesis. We formulate the model adaptation problem for MRHSMM based on a linear transformation framework and derive re-estimation formulas for transformation matrices in ML sense. We also describe the results of subjective evaluation tests.

本文言語English
ホスト出版物のタイトル2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07
ページIV833-IV836
DOI
出版ステータスPublished - 2007 8 6
外部発表はい
イベント2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07 - Honolulu, HI, United States
継続期間: 2007 4 152007 4 20

出版物シリーズ

名前ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
4
ISSN(印刷版)1520-6149

Conference

Conference2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07
国/地域United States
CityHonolulu, HI
Period07/4/1507/4/20

ASJC Scopus subject areas

  • ソフトウェア
  • 信号処理
  • 電子工学および電気工学

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