| 摘要 |
PROBLEM TO BE SOLVED: To accurately find an articulatory motion track in voicing from a given speech. SOLUTION: Vectors generated by adding parameters of a speed and acceleration to position parameters of articulation motion and a speech spectrum, a hidden Markov model (HMM) constituted as a dynamic model for the articulation motion, and linear functions for determining speech spectrums from articulation parameters as speech generation models by states of the HMM, are prepared. The speech spectrum of an input speech is compared with a speech spectrum pattern in an articulation-to-sound code book to select a plurality of pairs of articulation code parameters xC in the increasing order of distances, and the speech generation models, those xC, and the speech spectrum are used to determine the state series (q) maximizing the appearance probability of the speech spectrum. For the (q), an articulation parameter maximizing the appearance probability of the speech spectrum of the speech generation model is generated from the given speech signal. COPYRIGHT: (C)2003,JPO
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