A Context Clustering Technique for Average Voice Models

@inproceedings{Yamagishi2003ACC,
  title={A Context Clustering Technique for Average Voice Models},
  author={Junichi Yamagishi and Masatsune Tamura and Takashi Masuko and Keiichi Tokuda and Takao Kobayashi},
  year={2003}
}
This paper describes a new context clustering technique for average voice model, which is a set of speaker independent speech synthesis units. In the technique, we first train speaker dependent models using multi-speaker speech database, and then construct a decision tree common to these speaker dependent models for context clustering. When a node of the decision tree is split, only the context related questions which are applicable to all speaker dependent models are adopted. As a result… CONTINUE READING
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