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HTK MFCC MATLAB

version 1.2.0.0 (307 KB) by Kamil Wojcicki
Mel frequency cepstral coefficient feature extraction that closely matches that of HTK's HCopy.

20.9K Downloads

Updated 19 Sep 2011

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Computes mel frequency cepstral coefficient (MFCC) features from a given speech signal. The speech signal is first preemphasised using a first order FIR filter with preemphasis coefficient. The preemphasised speech signal is subjected to the short-time Fourier transform analysis with a specified frame duration, frame shift and analysis window function. This is followed by magnitude spectrum computation, followed by filterbank design with M triangular filters uniformly spaced on the mel scale between lower and upper frequency limits. The filterbank is applied to the magnitude spectrum values to produce filterbank energies (FBEs). Log-compressed FBEs are then decorrelated using the discrete cosine transform to produce cepstral coefficients. Final step applies sinusoidal lifter to produce liftered MFCCs that closely match those produced by HTK. Demo scripts are included.

Cite As

Kamil Wojcicki (2021). HTK MFCC MATLAB (https://www.mathworks.com/matlabcentral/fileexchange/32849-htk-mfcc-matlab), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2010a
Compatible with any release
Platform Compatibility
Windows macOS Linux

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