Voice Recognition - MFCC

1. What is MFCC in speech recognition?
2. What is MFCC used for?
3. What are the MFCC features?
4. Why are MFCC so popular?

What is MFCC in speech recognition?

Mel-Frequency Cepstrum Coefficients (MFCC)

In the source-filter model of speech, MFCC are understood to represent the filter (vocal tract). The frequency response of the vocal tract is relatively smooth, whereas the source of voiced speech can be modeled as an impulse train.

What is MFCC used for?

MFCCs are commonly used as features in speech recognition systems, such as the systems which can automatically recognize numbers spoken into a telephone. MFCCs are also increasingly finding uses in music information retrieval applications such as genre classification, audio similarity measures, etc.

What are the MFCC features?

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. The detailed description of various steps involved in the MFCC feature extraction is explained below.

Why are MFCC so popular?

The MFCC technique is a most popular, has a huge achievement and extensively used in the speaker and speech recognition systems [35, 36]. It is based on a logarithmic scale and is able to estimates human auditory response in a better way than the other cepstral feature extraction techniques [37,38]. ...