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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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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.

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mfcc speech-processing mel-frequency-cepstral-coefficients

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