Feature extraction for sound classification

1. What is feature extraction in audio?
2. Which algorithm is best for audio classification?
3. How to extract MFCC features?
4. How do I extract audio features in Matlab?

What is feature extraction in audio?

Audio feature extraction is a necessary step in audio signal processing, which is a subfield of signal processing. It deals with the processing or manipulation of audio signals. It removes unwanted noise and balances the time-frequency ranges by converting digital and analog signals.

Which algorithm is best for audio classification?

Convolutional Neural Networks (CNNs) have proven very effective in image classification and show promise for audio.

How to extract 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.

How do I extract audio features in Matlab?

Call extract to extract the audio features from the audio signal. features = extract(aFE,audioIn); Use info to determine which column of the feature extraction matrix corresponds to the requested pitch extraction.