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首页> 外文会议>2017 International Conference on Electrical, Electronics, Communication, Computer, and Optimization Techniques >Performance analysis of speech digit recognition using cepstrum and vector quantization
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Performance analysis of speech digit recognition using cepstrum and vector quantization

机译：使用倒谱和矢量量化的语音数字识别性能分析

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摘要

Speech recognition is a process to identify the speaker on the basis of individual information within the speech wave. Recent development has made the voice recognition in the security system. In this paper the implementation of speech digit recognition system is discussed. This technique is mainly used in person voice identification and control access like banking by telephone, voice dialing and database access services. The zero to nine digit utterances for speech data was collected. The speech digit recognition mainly involves two parts, one is the feature extraction and other one is the feature matching. The main approach is to isolate the speech recognition by Cepstrum and vector quantization. Cepstrum technique is used for feature extraction and vector quantization is used for feature matching. The result show that all digit gives good performance. The proposed speech digit recognition algorithm is implemented by using MATLAB software.
机译：语音识别是根据语音波中的个人信息识别说话者的过程。最近的发展已使语音识别在安全系统中。本文讨论了语音数字识别系统的实现。该技术主要用于人员语音识别和控制访问，例如通过电话进行银行业务，语音拨号和数据库访问服务。收集了语音数据的零到九位数的发音。语音数字识别主要包括两部分，一是特征提取，另一是特征匹配。主要方法是通过倒谱和矢量量化隔离语音识别。倒谱技术用于特征提取，矢量量化用于特征匹配。结果表明，所有数字均具有良好的性能。所提出的语音数字识别算法是使用MATLAB软件实现的。

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