S. Aswin Shanmugam

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Signal processing based landmark detection is precise compared to HMM based alignment, primarily because the location of the landmark is not factored in the estimation of parameters. Acoustic cues for syllable boundaries are usually obtained by exploiting the inherent sonority characteristics of a syllable. As syllabification of the text is based on(More)
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. To copy otherwise, to republish, to post on servers or to redistribute to(More)
A statistical parametric speech synthesis system uses triphones, phones or full context phones to address the problem of co-articulation. In this paper, syllables are used as the basic units in the parametric synthesiser. Conventionally full context phones in a Hidden Markov Model (HMM) based speech synthesis framework are modeled with a fixed number of(More)
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