A speaker adaptation method is presented based on a piece wise linear mapping of spectral code vector space into the spectral vector space of an unknown speaker. Adaptation is performed by modifying the code vectors to give a better fit to input the spectral vectors, while maintaining the local continuity of distribution of the original code vectors. Two adaptation algorithms are presented: a minimum-distortion method which provides a monotonic nonincreasing distortion for the training data and a simplified method. These algorithms are investigated in terms of distortion performance and adaptation speed. Experimental results show that the method provides much higher adaptation speed than the LBG (Linde-Buzo-Gray) algorithm and that the distortion performance approaches that of the LBG algorithm as the size of the training data increases.
|ジャーナル||ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings|
|出版ステータス||Published - 1990 12月 1|
|イベント||1990 International Conference on Acoustics, Speech, and Signal Processing: Speech Processing 2, VLSI, Audio and Electroacoustics Part 2 (of 5) - Albuquerque, New Mexico, USA|
継続期間: 1990 4月 3 → 1990 4月 6
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