Abstract
A new technique of speaker adaptation for use in speaker-independent speech recognition systems is presented. The training data is used to build models (based on linear regression) of sounds. At recognition time, the models are used together with an incomplete set of sounds from a new speaker to estimate values for unheard sounds, which are used to adapt the speaker-independent models.
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