METHOD AND APPARATUS FOR ACOUSTIC MODEL ADAPTATION ALGORITHM USING CLOSED-FORM MAXIMUM LIKELIHOOD LINEAR SPECTRAL TRANSFORMATION AND SPEECH RECOGNITION USING VOICE MODEL MIXED WITH NOISE

摘要

PURPOSE: A voice model adaptive method, an apparatus thereof using ML-LST and a voice recognition method using a noise voice model are provided to reduce calculation cost by applying a closed-form algorithm in a process presuming a noise parameter. CONSTITUTION: A linear spectrum feature extractor(420) extracts a linear spectrum data about a feature vector. A cepstrum feature extractor(430) converts linear spectrum data into cepstrum data. An occupation probability calculation unit(440) presumes Gaussian occupation probability by using a clean voice model. A noises parameter estimation unit(460) presumes the noises parameter by using the clean noise model. A noise voice model generator(470) uses the noise parameter.