Low-Variance Multitaper MFCC Features: A Case Study in Robust Speaker Verification

  title={Low-Variance Multitaper MFCC Features: A Case Study in Robust Speaker Verification},
  author={Tomi Kinnunen and Rahim Saeidi and Filip Sedlak and Kong-Aik Lee and Johan Sandberg and Maria Hansson and Haizhou Li},
  journal={IEEE Transactions on Audio, Speech, and Language Processing},
In speech and audio applications, short-term signal spectrum is often represented using mel-frequency cepstral coefficients (MFCCs) computed from a windowed discrete Fourier transform (DFT). Windowing reduces spectral leakage but variance of the spectrum estimate remains high. An elegant extension to windowed DFT is the so-called multitaper method which uses multiple time-domain windows (tapers) with frequency-domain averaging. Multitapers have received little attention in speech processing… CONTINUE READING
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