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Speech parameter generation algorithms for HMM-based speech synthesis

Tokuda, K. ; Yoshimura, T. ; Masuko, T. ; Kobayashi, T. ; Kitamura, T.

2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100), 2000, Vol.3, p.1315-1318 vol.3

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Título:
Speech parameter generation algorithms for HMM-based speech synthesis
Autor: Tokuda, K. ; Yoshimura, T. ; Masuko, T. ; Kobayashi, T. ; Kitamura, T.
Assuntos: Cepstral analysis ; Character generation ; Computer science ; Context modeling ; Hidden Markov models ; Interpolation ; Runtime ; Speech synthesis
É parte de: 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100), 2000, Vol.3, p.1315-1318 vol.3
Descrição: This paper derives a speech parameter generation algorithm for HMM-based speech synthesis, in which the speech parameter sequence is generated from HMMs whose observation vector consists of a spectral parameter vector and its dynamic feature vectors. In the algorithm, we assume that the state sequence (state and mixture sequence for the multi-mixture case) or a part of the state sequence is unobservable (i.e., hidden or latent). As a result, the algorithm iterates the forward-backward algorithm and the parameter generation algorithm for the case where the state sequence is given. Experimental results show that by using the algorithm, we can reproduce clear formant structure from multi-mixture HMMs as compared with that produced from single-mixture HMMs.
Editor: IEEE
Idioma: Inglês

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