| 摘要 |
PROBLEM TO BE SOLVED: To provide a voice estimating method and a voice recognition method which are robustly operated even of a voice signal inputted in noises or a voice signal in which noise is mixed on a communication line. SOLUTION: The voice estimating method includes a step for segmenting an input acoustic signal by short-time segments, an acoustic analyzing step for performing a short time frequency analysis, an element estimating step for estimating elements required for voice estimation, and a voice estimating step for estimating a voice by using elements obtained in the element estimating step. Concretely, the input acoustic signal is segmented by short-time segments, and short-time frequency analysis is performed, and spectrum envelopes of voice held in a code book for voice recognition are utilized as knowledge to generate sound models, and spectrum information obtained by the short-time frequency analysis is regarded as a probability density function, and maximum posteriori probability estimation is used to estimate mixed weight values, and it is judged that the existence supposition of elements generating the sound model having the maximum weight value at each time has the maximum likelihood, and these elements are outputted.
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