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Title
  • en Unsupervised Cross-Lingual Speaker Adaptation for HMM-Based Speech Synthes
Creator
    • en Oura, Keiichiro ja 大浦, 圭一郎 ja-Kana オオウラ, ケイイチロウ
    • en Wu, Yi-Jian ja Wu, Yi-Jian
    • en Yamagishi, Junichi
    • en King, Simon
    • en Wester, Mirjam
Description
  • Other en In the EMIME project, we are developing a mobile device that performs personalized speech-to-speech translation such that a user's spoken input in one language is used to produce spoken output in another language, while continuing to sound like the user's voice. We integrate two techniques, unsupervised adaptation for HMM-based TTS using a word-based large-vocabulary continuous speech recognizer and cross-lingual speaker adaptation for HMM-based TTS, into a single architecture. Thus, an unsupervised cross-lingual speaker adaptation system can be developed. Listening tests show very promising results, demonstrating that adapted voices sound similar to the target speaker and that differences between supervised and unsupervised cross-lingual speaker adaptation are small.
  • Other en 14-19 March 2010Dallas, TX, USA
Publisher en Institute of Electrical and Electronics Engineers
Date
    Issued2010
Language
  • eng
Resource Type conference paper
Version Type VoR
Identifier URI https://nitech.repo.nii.ac.jp/records/3415
Journal
  • en ICASSP 2010. IEEE International Conference on Acoustics, Speech and Signal Processing, 2010.
  • Page Start4594 Page End4597
File
Oaidate 2025-03-14