Calculate the Standard Deviation of Fundamental Frequency (MFCC)

1. How to calculate MFCC using Matlab?
2. What does MFCC measure?
3. What are the 39 features of MFCC?

How to calculate MFCC using Matlab?

Extract MFCC from Frequency-Domain Audio

[audioIn,fs] = audioread("Rainbow-16-8-mono-114secs. wav"); win = hann(1024,"periodic"); S = stft(audioIn,"Window",win,"OverlapLength",512,"Centered",false); To extract the mel-frequency cepstral coefficients, call mfcc with the frequency-domain audio.

What does MFCC measure?

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.

What are the 39 features of MFCC?

So the 39 MFCC features parameters are 12 Cepstrum coefficients plus the energy term. Then we have 2 more sets corresponding to the delta and the double delta values. Next, we can perform the feature normalization. We normalize the features with its mean and divide it by its variance.