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常用的说话人识别方法有模板匹配法、统计建模法、联接主义法(即人工神经网络实现)。考虑到数据量、实时性以及识别率的问题，采用基于矢量量化和隐马尔可夫模型(HMM)相结合的方法。 　　说话人识别的系统主要由语音特征矢量提取单元(前端处理)、训练单元、识别单元和后处理单元组成， -Commonly used methods of speaker recognition template matching method, statistical modeling method, and connection method (ie, artificial neural networks). Taking into account the amount of data, real-time as well as the recognition rate of the problem, based on vector quantization and Hidden Markov Model (HMM) method of combining. Speaker recognition system mainly by the voice feature vector extraction unit (front-end treatment), training modules, identification and post-treatment unit modules,

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基于Linux上的DirectFB简介，提供的功能，支持的API，应用方案，市场分析等等。日文版-DirectFB on Linux-based introduction to the functions provided to support the API, applications, market analysis and so on. Japanese version

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并行AVS实时编解码器设计与实现 介绍了一种并行AVS实时编码器的设计，它包括音视频数据输入、音视频编码、传输流系统复用器、输出和控制部分，其 中重点介绍了视频编码器和传输流系统复用器的设计和实现。实验结果证明，实现标清AVS实时编码器是可行的。-Parallel real-time codec AVS Design and Implementation of AVS introduce a parallel real-time encoder design, which includes audio and video data entry, audio and video encoding, transport stream multiplexer system, the output and control parts, which focuses on video encoding and Transport Stream Multiplexer System Design and Implementation. Experimental results show that AVS realize SDTV real-time encoder is feasible.

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