Using MFCC to an ANN Speech Recognition System

1. How is MFCC used in speech recognition?
2. Can neural networks be used for speech recognition?
3. What is MFCC used for?

How is MFCC used in speech recognition?

MFCC are popular features extracted from speech signals for use in recognition tasks. 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.

Can neural networks be used for speech recognition?

Neural networks are very powerful for recognition of speech. There are various networks for this process. RNN, LSTM, Deep Neural network and hybrid HMM-LSTM are used for speech recognition.

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.