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SPEAKER CLUSTERING METHOD AND SPEAKER ADAPTATION METHOD BASED ON MODEL TRANSFORMATION, AND APPARATUS USING THE SAME
SPEAKER CLUSTERING METHOD AND SPEAKER ADAPTATION METHOD BASED ON MODEL TRANSFORMATION, AND APPARATUS USING THE SAME
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机译：基于模型变换的说话人聚类方法和说话人自适应方法，以及使用该方法的装置
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摘要
A speech recognition method and apparatus perform speaker clustering and speaker adaptation using average model variation information over speakers while analyzing the quantity variation amount and the directional variation amount. In the speaker clustering method, a speaker group model variation is generated based on the model variation between a speaker-independent model and a training speaker ML model. In the speaker adaptation method, the model in which the model variation between a test speaker ML model and a speaker group ML model to which the test speaker belongs which is most similar to a training speaker group model variation is found, and speaker adaptation is performed on the found model. Herein, the model variation in the speaker clustering and the speaker adaptation are calculated while analyzing both the quantity variation amount and the directional variation amount. The present invention may be applied to any speaker adaptation algorithm of MLLR and MAP.
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