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Speaker-adpatation methods using selective linear prediction

When multi-template methods are used for a speaker-independent speech recognition system, the speaker-adaptation is useful to reduce the calculation time and the incorrect recognition rate. As one of the simplest and the most stable methods, we developed a new speaker-adaptation method using selective linear prediction (SLP) to realize the frequency expansion. In this system, the frequency expansion ratios of a few vowels are estimated first, then the reference speech patterns are modified based on them, and their modified patterns are used for the continuous DP (Dynamic Programming) matching to recognize the candidate words. We applied it to recognize connected digits using the reference speech patterns spoken by another speaker and achieved a remarkable improvement of the correct recognition rate.