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Methods, systems, and circuits for text independent speaker recognition with automatic learning features

机译:具有自动学习功能的文本无关的说话人识别方法,系统和电路

摘要

Embodiments provide a method and system of text independent speaker recognition with a complexity comparable to a text dependent version. The scheme exploits the fact that speech is a quasi-stationary signal and simplifies the recognition process based on this theory. The modeling allows the speaker profile to be updated progressively with the new speech sample that is acquired during usage time.
机译:实施例提供了具有与文本相关版本可比的复杂度的文本无关说话者识别的方法和系统。该方案利用了语音是准平稳信号这一事实,并简化了基于该理论的识别过程。通过建模,可以使用使用期间获取的新语音样本逐步更新说话者资料。

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