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This paper compares the feature sets extracted using time-frequency analysis approach and frequency-time analysis approach for text-independent speaker identification. Mel-Frequency Cepstral Coefficient (MFCC) feature set and Inverted Mel-Frequency Cepstral Coefficient (IMFCC) feature set are extracted using time-frequency analysis approach. Temporal Energy Sub-Band Cepstral Coefficient (TESBCC) feature set is extracted using frequency time analysis approach. Time-bandwidth product of MFCC filter bank and TESBCC filter bank has been compared. RV coefficient has been used to calculate the correlation between the feature sets.
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