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Speech Recognition Based on Efficient DTW Algorithm and Its DSP Implementation

机译:基于高效DTW算法及其DSP实现的语音识别

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The present voice recognition has achieved high recognition accuracy in theory and the laboratory condition, but many speech recognition algorithms are realize on PC. A system platform with DSP core can realize real-time speech processing algorithms, and in cost, power consumption and volume has the advantages of PC did not own, and has a good application prospect. This paper emphasis on how to realize speech recognition in DSP and its whole hardware and software technological process, and analyzed the program with CCS's self-contained process analysis tools Profile. In order to improve the recognition rate, a high performance DTW algorithm which differ from the traditional DTW algorithm is used. So real-time control is achieved and obtain a high recognition rate.
机译:目前的语音识别在理论和实验室条件下实现了高识别准确性,但是在PC上实现了许多语音识别算法。具有DSP核心的系统平台可以实现实时语音处理算法,并且成本,功耗和卷具有PC本身的优势,并具有良好的应用前景。本文强调如何在DSP及其整个硬件和软件技术过程中实现语音识别,并分析了CCS的独立流程分析工具配置文件的程序。为了提高识别率,使用了与传统的DTW算法不同的高性能DTW算法。因此实现了实时控制并获得了高识别率。

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