期刊名称：International Journal of Computer Science & Technology
印刷版ISSN：2229-4333
电子版ISSN：0976-8491
出版年度：2012
卷号：3
期号：1Ver 3
出版社：Ayushmaan Technologies
摘要：In this paper the concept of Hidden Markov Model has been implemented and tested in noiseless environment for speech command recognition (speaker dependent) and convert a machine into intelligent machine which is responding to human speech and activating the operating system commands. Preprocessing, Feature Extraction and Recognition these three steps of Hidden Markov Model are used to complete this Automatic Speech Recognition System. Endpoint detection, Framing and Windowing of the speech signal include in first step preprocessing. Linear Predictive Coefficients, Cepstral analysis, Vector quantization includes in second step Feature Extraction and HMM based classifier used in last step Speech Command Recognition.
