DSP Implementation of Voice Recognition Using Dynamic Time Warping Algorithm

F. Muzaffar, B. Mohsin, F. Naz, F. Jawed
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引用次数: 15

Abstract

Voice recognition is a process of an automatic system to perceive speech. The paper discusses voice recognition using cepstral analysis and DTW of a set of five words. The software model was designed using DSP block library in Simulink. The developed model provide us with the necessary tools to record, filter, and analyze different voice samples and compare them with the archived sample. The paper concludes with discussion about the implementation of the speech recognition algorithm on a DSP processor. The algorithm was implemented on the target DSP via embedded target for TI DSP toolbox and real time workshop (RTW).
基于动态时间扭曲算法的语音识别DSP实现
语音识别是一个自动系统感知语音的过程。本文讨论了用倒谱分析和对一组5个词的DTW进行语音识别的方法。软件模型采用Simulink中的DSP块库进行设计。开发的模型为我们提供了必要的工具来记录、过滤和分析不同的语音样本,并将它们与存档样本进行比较。最后讨论了语音识别算法在DSP处理器上的实现。该算法通过TI DSP工具箱和实时车间(RTW)的嵌入式目标在目标DSP上实现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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