10. A voice recognition method comprising: storing a suppression coefficient representing an amount of noise suppression and an adaptation coefficient representing an amount of adaptation which is generated on the basis of a predetermined noise and is synthesized to a clean acoustic model generated on the basis of a voice which does not include noise, in a manner to relate the suppression coefficient with the adaptation coefficient to each other; estimating noise from an input signal; suppressing a portion of the noise specified by a suppression amount specified on the basis of the suppression coefficient, among from the noise estimated, from the input signal; generating an adapted acoustic model which is noise-adapted, by synthesizing the noise model, which is generated on the basis of the estimated noise in accordance with an amount of adaptation specified on the basis of the adaptation coefficient, to the clean acoustic model; and recognizing voice on the basis of the noise-suppressed input signal and the generated adapted acoustic model.
10. A voice recognition method comprising: storing a suppression coefficient representing an amount of noise suppression and an adaptation coefficient representing an amount of adaptation which is generated on the basis of a predetermined noise and is synthesized to a clean acoustic model generated on the basis of a voice which does not include noise, in a manner to relate the suppression coefficient with the adaptation coefficient to each other; estimating noise from an input signal; suppressing a portion of the noise specified by a suppression amount specified on the basis of the suppression coefficient, among from the noise estimated, from the input signal; generating an adapted acoustic model which is noise-adapted, by synthesizing the noise model, which is generated on the basis of the estimated noise in accordance with an amount of adaptation specified on the basis of the adaptation coefficient, to the clean acoustic model; and recognizing voice on the basis of the noise-suppressed input signal and the generated adapted acoustic model. 14. The voice recognition method according to claim 10 , comprising: determining a class to which the estimated noise belongs; storing a noise identifier representing a noise type, a suppression coefficient and an adaptation coefficient, in a manner to relate them to each other; suppressing a portion of noise specified by a suppression amount specified on the basis of a suppression coefficient which is related to a noise identifier corresponding to the determined type of the noise among from the estimated noise, from the input signal; and generating an adapted acoustic model which is noise-adapted, on the basis of synthesizing with a noise model generated on the basis of the estimated noise, in accordance with an amount of adaptation specified on the basis of an adaptation coefficient which is related to a noise identifier corresponding to the determined type of the noise, with respect to the clean acoustic model.