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
(8)
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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