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Isolated Word Speech Rcogniton Based on HRSF and Improved DTW Algorithm

机译:基于HRSF和改进DTW算法的孤立词语音认知

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摘要

The paper introduces an isolated word speech recognition system in which the speech signal is acquired in real time, Half Raised-Sine function is applied to the MFCC parameters of the audio files, and improved DTW algorithm is implemented. Experimental results show that compared the conventional DTW with the improved DTW algorithm, the latter can obtain a better recognition rate and faster response time.
机译:本文介绍了一个隔离的单词语音识别系统,其中,实时获取语音信号,将半升高的正弦函数应用于音频文件的MFCC参数,并实现了改进的DTW算法。实验结果表明,与改进的DTW算法比较了传统的DTW,后者可以获得更好的识别率和更快的响应时间。

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