首页> 外国专利> 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.

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。

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.
机译:提出了自适应HMM,审判级别,基于歧视,不受监控的分类“对话沉默”。在第一步中,使用对话结束或从设备细分接收器获得的沉默来确定沉默和对话的区域。然后,通过学习GPD或任何其他歧视性学习算法使用歧视性程序,并结合基于HMM的设备侦听器来增加沉默和对话之间的歧视性。

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