Sciweavers

INTERSPEECH
2010

Speaker and language adaptive training for HMM-based polyglot speech synthesis

13 years 6 months ago
Speaker and language adaptive training for HMM-based polyglot speech synthesis
This paper proposes a technique for speaker and language adaptive training for HMM-based polyglot speech synthesis. Language-specific context-dependencies in the system are captured using CAT with cluster-dependent decision trees. Acoustic variations caused by speaker characteristics are handled by CMLLR-based transforms. This framework allows multi-speaker/multi-language adaptive training and synthesis to be performed. Experimental results show that the proposed technique achieves better synthesis performance than both speaker-adaptively trained language-dependent and languageindependent models.
Heiga Zen
Added 18 May 2011
Updated 18 May 2011
Type Journal
Year 2010
Where INTERSPEECH
Authors Heiga Zen
Comments (0)