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Review Papers | Electronics & Communication Engineering | India | Volume 4 Issue 9, September 2015 | Rating: 6.7 / 10 | Rate this Article

Review: MFCC & Multitaper MFCC Feature Extraction for Speaker Verification

Rupali G Shintri | S. K. Bhatia ^[3]

Abstract: In speech & audio applications, short-term signal spectrum is often represented using mel-freuency cepstral coefficient (MFCC) computed from a windowed discrete Fourier transform (DFT). Windowing reduces spectral leakage but variance of the spectrum estimate remains high. An extension to windowed DFT is called multitaper method which uses multiple time domain windows which are called as tapers with frequency domain averaging. Then detailed statistical analysis of MFCC bias & variance is done. For speaker verification the extracted feature is used to build a model using classifier (GMM), which implements likelihood ratio test to decide whether to accept or reject the speaker.

Keywords: Mel-frequency cepstral coefficient, multitaper, GMM, speaker verification, tapers

Edition: Volume 4 Issue 9, September 2015,

Pages: 1863 - 1865