5. A speech processing device comprising: a reverberation suppression unit configured to generate dereverberated speech for each acoustic environment from acquired speech on the basis of reverberation component data of each acoustic environment; a feature quantity calculation unit configured to calculate a feature quantity of the dereverberated speech; and a speech recognition unit configured to calculate a likelihood of an utterance state string from the feature quantity for each acoustic environment and selects an utterance state string on the basis of the likelihood, wherein the reverberation component data is data indicating a contribution of a reverberation component given by correction reverberation characteristics obtained through predetermined filter processing for a predetermined reverberation characteristic, and a correction factor for use in the filter processing is set such that a likelihood which is calculated from a feature quantity of corrected speech obtained through the filter processing for the speech of each acoustic environment is higher than a likelihood calculated from a feature quantity of the speech of each acoustic environment.
5. A speech processing device comprising: a reverberation suppression unit configured to generate dereverberated speech for each acoustic environment from acquired speech on the basis of reverberation component data of each acoustic environment; a feature quantity calculation unit configured to calculate a feature quantity of the dereverberated speech; and a speech recognition unit configured to calculate a likelihood of an utterance state string from the feature quantity for each acoustic environment and selects an utterance state string on the basis of the likelihood, wherein the reverberation component data is data indicating a contribution of a reverberation component given by correction reverberation characteristics obtained through predetermined filter processing for a predetermined reverberation characteristic, and a correction factor for use in the filter processing is set such that a likelihood which is calculated from a feature quantity of corrected speech obtained through the filter processing for the speech of each acoustic environment is higher than a likelihood calculated from a feature quantity of the speech of each acoustic environment. 6. The speech processing device according to claim 5 , wherein an acoustic model for use in calculating the likelihood is a model representing an appearance probability of an utterance state by a linear combination of a normal distribution of a feature quantity, and for calculating the correction factor, the correction factor is updated such that the likelihood is made higher using a gradient of the likelihood with respect to the correction factor.