How to get frequencies from MFCC

1. How to extract features from MFCC?
2. What is the output of MFCC?
3. What does MFCC tell you?

How to extract features from MFCC?

The MFCC feature extraction technique basically includes windowing the signal, applying the DFT, taking the log of the magnitude, and then warping the frequencies on a Mel scale, followed by applying the inverse DCT.

What is the output of MFCC?

The output after applying MFCC is a matrix having feature vectors extracted from all the frames. In this output matrix the rows represent the corresponding frame numbers and columns represent corresponding feature vector coefficients [1-4]. Finally this output matrix is used for classification process.

What does MFCC tell you?

The mel frequency cepstral coefficients (MFCCs) of a signal are a small set of features (usually about 10-20) which concisely describe the overall shape of a spectral envelope. In MIR, it is often used to describe timbre.