Advanced Computing and Systems for Security by Rituparna Chaki & Agostino Cortesi & Khalid Saeed & Nabendu Chaki

Advanced Computing and Systems for Security by Rituparna Chaki & Agostino Cortesi & Khalid Saeed & Nabendu Chaki

Author:Rituparna Chaki & Agostino Cortesi & Khalid Saeed & Nabendu Chaki
Language: eng
Format: epub
ISBN: 9789811389696
Publisher: Springer Singapore


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Ek is the energy of kth filter.

Finally, a discrete cosine transform (DCT) of energies of a single frame is computed, resulting in a set of n real-valued Mel frequency cepstral coefficients [1, 3].

The last step of feature extraction is to calculate the DCT of energies for each frame.

Steps of extracting voice feature vector are enumerated below:Framing of the signal:

A set of equally spaced intersecting frames is obtained from a vector of recording samples.

Windowing the signal:

In preparation for FFT, to each frame a window (Gauss or Hamming) function is applied.



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