A Wavelet Based Approach for Speaker Identification from Degraded Speech

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Provided by: International Journal of Communication Networks and Information Security
Topic: Enterprise Software
Format: PDF
In this paper, the authors present a robust speaker identification method from degraded speech signals. This method is based on the Mel-Frequency Cepstral Coefficients (MFCCs) for feature extraction from the degraded speech signals and the wavelet transform of these signals. It is known that the MFCCs based speaker identification method is not robust enough in the presence of noise and telephone degradations. So, the feature extraction from the wavelet transform of the degraded signals adds more speech features from the approximation and detail components of these signals which assist in achieving higher identification rates.
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