Abstract: Review: MFCC & Multitaper MFCC Feature Extraction for Speaker Verification
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Open Access | Fully Refereed | Peer Reviewed

ISSN: 2319-7064

Downloads: 111

Review Papers | Electronics & Communication Engineering | India | Volume 4 Issue 9, September 2015

Review: MFCC & Multitaper MFCC Feature Extraction for Speaker Verification

Rupali G Shintri, S. K. Bhatia

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

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How to Cite this Article?

Rupali G Shintri, S. K. Bhatia, "Review: MFCC & Multitaper MFCC Feature Extraction for Speaker Verification", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=SUB158533, Volume 4 Issue 9, September 2015, 1863 - 1865

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