The invention belongs to the
speech recognition technical filed and relates to a
speech recognition method and
system. The method includes the following steps that: speech signals are acquired; analog-
digital conversion is performed on the speech signals, so that corresponding speech digital signals can be generated; preprocessing is performed on the speech digital signals, and speech feature parameters are extracted according to corresponding preprocessing results, and a
time sequence of extracting the speech feature parameters is utilized to construct a corresponding feature sequence; the speech feature parameters are matched with speech models in a
template library, and the feature sequence is decoded according to
a search algorithm, and therefore, a corresponding recognition result can be generated. According to the
speech recognition method and
system of the invention, time-domain GFCC (gammatone frequency
cepstrum coefficient) features are extracted to replace frequency-domain MFCC (
mel frequency cepstrum coefficient) features, and DCT conversion is adopted, and therefore, computation quantity can be reduced, and computation speed and robustness can be improved; and the mechanism of weighted
finite state transformation is adopted to construct a decoding model, and
smoothing and compression
processing of the model is additionally adopted, and therefore, decoding speed can be increased.