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Continuity metric for unit selection based text-to-speech synthesis

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3 Author(s)
Lakkavalli, V.R. ; Dept. of Electr. Eng., Indian Inst. of Sci., Bangalore, India ; Arulmozhi, P. ; Ramakrishnan, A.G.

A new method based on unit continuity metric (UCM) is proposed for optimal unit selection in text-to-speech (TTS) synthesis. UCM employs two features, namely, pitch continuity metric and spectral continuity metric. The methods have been implemented and tested on our test bed called MILE-TTS and it is available as web demo. After verification by a self selection test, the algorithms are evaluated on 8 paragraphs each for Kannada and Tamil by native users of the languages. Mean-opinion-score (MOS) shows that naturalness and comprehension are better with UCM based algorithm than the non-UCM based ones. The naturalness of the TTS output is further enhanced by a new rule based algorithm for pause prediction for Tamil language. The pauses between the words are predicted based on parts-of-speech information obtained from the input text.

Published in:

Signal Processing and Communications (SPCOM), 2010 International Conference on

Date of Conference:

18-21 July 2010