Mel Frequency Discrete Wavelet Coefficients for Kannada Speech Recognition using PCA
نویسندگان
چکیده
In this paper, a new scheme for recognition of isolated words in kannada Language speech, based on the Discrete Wavelet Transform(DWT) and PCA has been proposed. First, the DWT of the speech is computed and then MFCC coefficients are calculated. For this, Principal Component Analysis procedure is applied for speech recognition. This paper also presents the comparative results with respect to the results given in [12] and the results are superior with respect to recognition accuracy. This novel method is applied to different wavelet families and the results have been discussed.
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تاریخ انتشار 2010