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Unit Selection based speech synthesis systems (USS) require accurate labeling of units. Accurate segmentation of speech waveforms manually is a laborious task. Syllable-based systems for Indian languages use a group delay based approach for semi-automatic segmentation of speech waveforms into syllables. This performance of the group delay based algorithm is poor when the syllables contain fricatives,...
Most unit selection synthesisers sound quite natural when the database consists of a number of realisations of the same sound unit from a large number of contexts. A common problem observed with these synthesisers is unexpected prosody when a new context is presented in the text. The objective of this paper is to address this issue and select appropriate units that are relevant to a specific context...
This paper describes ways to improve prosody modeling in syllable-based concatenative speech synthesis systems for two Indian languages, namely Hindi and Tamil, within the unit selection paradigm. The syllable is a larger unit than the diphone and contains most of the coarticulation information. Although syllable-based synthesis is quite intelligible compared to diphone based systems, naturalness...
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