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KMID : 1022420100020010087
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Phonetics and Speech Sciences
2010 Volume.2 No. 1 p.87 ~ p.95
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Syllable-Level Smoothing of Model Parameters for HMM-Based Mixed-Lingual Text-to-Speech
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Yang Jong-Yeol
Kim Hong-Kook
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Abstract
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In this paper, we address issues associated with mixed-lingual text-to-speech based on context-dependent HMMs, where there are multiple sets of HMMs corresponding to each individual language. In particular, we propose smoothing techniques of synthesis parameters at the boundaries between different languages to obtain more natural quality of speech. In other words, mel-frequency cepstral coefficients (MFCCs) at the language boundaries are smoothed by applying several linear and nonlinear approximation techniques. It is shown from an informal listening test that synthesized speech smoothed by a modified version of
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KEYWORD
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Text-to-Speech, HTS, polyglot, mixed-lingual TTS, parameter smoothing
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