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Discriminating between voice and silence based on an adaptation of hidden Markov models, unsupervised.
Discriminating between voice and silence based on an adaptation of hidden Markov models, unsupervised.
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机译:基于无监督隐马尔可夫模型的自适应,在语音和静音之间进行区分。
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摘要
PRESENTED AN ADAPTATION HMM, LEVEL OF JUDGMENT, discriminatory, unmonitored, based classification CONVERSATION-SILENCE. DETERMINED THE REGIONS OF SILENCE AND CONVERSATION USING A POINTER END OF CONVERSATION OR OBTAINED FROM THE DEVICE SEGMENTATION RECONOCEDOR in a first step. Then the discriminatory PROCEDURE USED BY LEARNING A GPD OR ANY OTHER DISCRIMINATORY learning algorithm, in conjunction with HMM-BASED DEVICE RECONOCEDOR to increase the discrimination between silence and conversation.
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