Speaker adaptation for phoneme recognition

A procedure for the adaptation of a phonetic recognition system to a new speaker, is described. The reference for each phoneme(cepstrum of the autoregressive model) is transformed linearly in order to fit optimally the utterances of a new speaker. In a first step, samples uttered by the new speaker are mapped onto corresponding utterances (reference) through a dynamic comparison. In a second step, the linear transformation is computed through canonical correlation analysis of the samples. Experimental simulations provided satisfactory results.