期刊名称：International Journal of Computer Science Issues
印刷版ISSN：1694-0784
电子版ISSN：1694-0814
出版年度：2011
卷号：8
期号：6
出版社：IJCSI Press
摘要：Security is an essential part of human life. In this era security is a huge issue that is reliable and efficient if it is unique by any mean. Voice recognition is one of the security measures that are used to provide protection to humans computerized and electronic belongings by his voice. In this paper voice sample is observed with MFCC for extracting acoustic features and then used to trained HMM parameters through forward backward algorithm which lies under HMM and finally the computed log likelihood from training is stored to database. It will recognize the speaker by comparing the log value from the database against the PIN code. It is implemented in Matlab 7.0 environment and showing 86.67% results as correct acceptance and correct rejections with the error rate of 13.33%.
关键词：Voice recognition; Mel Frequency Cepstral coefficients; Hidden Markov Modeling; Forward Backward algorithm; Fast Fourier Transform; Discrete Cosine Transform; K;mean algorithm.
