Summary
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State Duration Modeling for HMM-Based Speech Synthesis Heiga ZEN Takashi MASUKO Keiichi TOKUDA Takayoshi YOSHIMURA Takao KOBAYASIH Tadashi KITAMURA Publication IEICE TRANSACTIONS on Information and Systems Vol.E90-D No.3 pp.692-693 Publication Date: 2007/03/01 Online ISSN: 1745-1361 DOI: 10.1093/ietisy/e90-d.3.692 Print ISSN: 0916-8532 Type of Manuscript: LETTER Category: Speech and Hearing Keyword: duration modeling, speech synthesis, hidden Markov model, Full Text: PDF(54.1KB)>>
Summary: This paper describes the explicit modeling of a state duration's probability density function in HMM-based speech synthesis. We redefine, in a statistically correct manner, the probability of staying in a state for a time interval used to obtain the state duration PDF and demonstrate improvements in the duration of synthesized speech. | ||||||||||
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