| 摘要 |
A noisy vector is extracted from a noisy speech, which is a clean speech on which a noise is superimposed. A noise parameter of the noise is estimated from the noisy vector. A prior distribution parameter of a clean vector of the clean speech is already stored. A joint Gaussian distribution parameter between the clean vector and the noisy vector is calculated by unscented transformation, from the noise parameter and the prior distribution parameter. A posterior distribution parameter of the clean vector is calculated by the joint Gaussian distribution parameter, from the noisy vector. By comparing the posterior distribution parameter with a standard pattern of each word previously stored, a word sequence of the noisy speech is output.
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