SPEECH RECOGNITION DEVICE AND SPEECH RECOGNITION METHOD

摘要

PROBLEM TO BE SOLVED: To provide a speech recognition device by which a user does not utter specific contents is not and which uses a speaker normalization processing capable of speedingly performing normalization into individual features of a speaker without requiring an on-line 'non-teacher'. SOLUTION: Featured values such as LPC cepstrum coefficients are extracted with the speech digitalized by A/D conversion as input signals (S10). Then, frequency axis conversion is conducted for the featured value such as the LPC cepstrum in order to normalize the effect caused by the individuality of the length of the vocal track of the uttering person (S30). Then, a matching is conducted between the featured values of the inputted speech that is frequency axis converted and the acoustic model featured values beforehand learned from plural speakers (S50). After that, the inputted utterings are made as teacher's signals based on the recognition result computed in the S50 and optimum conversion coefficients are obtained (S60). Then, smoothing is conducted for the conversion coefficients to absorb dispersion caused by the speakers and the phonemes and new updated frequency axis conversion coefficients are obtained (S70).