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Research on intelligent speech signal processing using vector quantization

机译:基于矢量量化的智能语音信号处理研究

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摘要

A speaker recognition system based on vector quantization technique is presented in this thesis. For the purpose of field application, exponential noise reduction method in time domain is investigated. For speaker recognition among large population, 3 approaches are proposed to decrease the time of matching at recognition phase and that of learning at registration phase dramatically A speech indexing system for search based on speaker's information is demonstrated finally.
机译:本文提出了一种基于矢量量化技术的说话人识别系统。出于现场应用的目的,研究了时域指数降噪方法。针对大量人群的说话人识别问题,提出了3种减少说话人识别阶段匹配时间和注册阶段学习时间的方法。最后,提出了一种基于说话人信息的语音索引系统。

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