| 摘要 |
PROBLEM TO BE SOLVED: To provide a learning method of a hidden Markov model(HMM) and a voice recognition system in which a voice model having a good recognition performance is generated. SOLUTION: The system is provided with a learning voice database 10 having voice data mixed with noise, a clean voice model 11 generated from learning voice data having no noise, a noise estimating section 12, which estimates noise included in the learning voice data and generates an estimated noise model 13, a model synthesizing section 14, which synthesizes the models 13 and 11, and an HMM learning processing section 16 which conducts an HMM learning using the synthesized voice model as an initial voice model 15 for the HMM learning. Then, noise included in the learning voice data is estimated, the model 13 is generated, the model 13 and the model 11 generated from the learning voice data having no noise, are synthesized and the HMM learning is conducted using the synthesized voice model as the model 15 of the learning.
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