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Mel Frequency Cepstral Coefficients (MFCCs) are a feature widely used in automatic speech and speaker recognition. They were introduced by Davis and Mermelstein in the 1980s, and have been state-of-the-art ever since. In this project, we have implemented MFCC feature extraction in Matlab.

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Name		Name	Last commit message	Last commit date
Latest commit History 5 Commits
README.md		README.md
dct.m		dct.m
filter_bank.png		filter_bank.png
filter_bank_energy.m		filter_bank_energy.m
formula.m		formula.m
frame.m		frame.m
mel.m		mel.m
plot_energy.m		plot_energy.m
plots_filter.m		plots_filter.m
sample.wav		sample.wav
window.m		window.m

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MFCC

Implemenation of MFCC in matlab

File Description

dct.m - Function to Computer Discrete Cosine Transform.
filter_bank_energy.m - Computes the final cepstral coefficients.
formula.m - Helper function to compute Mel filter bank.
frame.m - Divides the singnal into frames of 25ms. Here you can input your sound file.
mel.m - Computes Mel filter bank.
plots_filter.m - Plots Mel filter bank.
window.m - Applies Hanning window to the given frames.

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Mel Frequency Cepstral Coefficients (MFCCs) are a feature widely used in automatic speech and speaker recognition. They were introduced by Davis and Mermelstein in the 1980s, and have been state-of-the-art ever since. In this project, we have implemented MFCC feature extraction in Matlab.

mfcc speech-processing mel-frequency-cepstral-coefficients

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