Article details

Research area
Text to speech

Location
In proceedings of ICASSP, Kyoto, Japan

Date
2012

Author(s)
Asaf Rendel, Alexander Sorin, Ron Hoory

Towards automatic phonetic segmentation for TTS

Synopsis:

Phonetic segmentation is an important step in the development of a concatenative TTS voice. This paper introduces a segmentation process consisting of two phases. First, forced alignment is performed using an HMM-GMM model. The resulting segmentation is then locally refined using an SVM based boundary model. Both the models are derived from multi-speaker data using a speaker adaptive training procedure. Evaluation results are obtained on the TIMIT corpus and on a proprietary single-speaker TTS corpus.

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