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  • 标题:Speech Recognition and Verification Using MFCC & VQ
  • 本地全文:下载
  • 作者:Mr. Kashyap Patel ; Dr. R. K. Prasad
  • 期刊名称:International Journal of Advanced Research In Computer Science and Software Engineering
  • 印刷版ISSN:2277-6451
  • 电子版ISSN:2277-128X
  • 出版年度:2013
  • 卷号:3
  • 期号:5
  • 出版社:S.S. Mishra
  • 摘要:Speaker Recognition software using MFCC (Mel Frequency Cepstral Co-efficient) and vector quantization has been designed, developed and tested satisfactorily for male and female voice. In this paper the ability of HPS (Harmonic Product Spectrum) algorithm and MFCC for gender and speaker recognition is explored. HPS algorithm can be used to find the pitch of the speaker which can be used to determine gender of the speaker. In this algorithm the speech signals for male and female ware recorded in .wav(dot wav) file at 8 KHz sampling rate and then modified. This modified wav file for speech signal was processed using MATLAB software for computing and plotting the autocorrelation of speech signal. The software reliably computes the pitch of male and female voice. The MFCC algorithm and vector quantization algorithm is used for speech recognition process. By using Autocorrelation technique and FFT pitch of the signal is calculated which is used to identify the true gender. In this paper the quality and testing of speaker recognition and gender recognition system is completed and analysed.
  • 关键词:Autocorrelation; Signal; Voice command; Pitch; MFCC; Vector quantization ;K-Mean Algorithm; ;Euclidean distance
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