VOICE PARAMETER LEARNING APPARATUS AND METHOD THEREFOR, VOICE RECOGNITION APPARATUS AND VOICE RECOGNITION METHOD USING THEM, AND THEIR PROGRAM AND RECORDING MEDIUM

摘要

PROBLEM TO BE SOLVED: To provide a voice-parameter learning apparatus that does not depend on specific voice emphasis method.;SOLUTION: This voice-parameter learning apparatus includes a voice preprocessing section for adaptation, an acoustic model storage section, an adaptation parameter creating section, a voice preprocessing section for recognition, and a dispersion dynamic correcting section. The adaptation parameter creating section creates a dynamic dispersion adaptive parameter depending on a frame as a parameter for dispersion correction, and a static dispersion adaptive parameter independent of the frame. The voice preprocessing section for recognition creates a voice feature amount for each frame of an observation voice signal, and uncertainty showing variation in the voice feature amount. The dispersion dynamic correcting section receives the uncertainty of the voice feature amount, the adaptive parameter, and the acoustic model, and outputs the dispersion of the Gaussian distribution corrected with the adaptive parameter for each frame.;COPYRIGHT: (C)2009,JPO&INPIT