- Wavelet Transform: The toolbox provides different functions like ‘wavedec’ for discrete wavelet transform (DWT) and ‘cwt’ for continuous wavelet transform (CWT). For speech processing, DWT is commonly used due to its efficiency and ability to localize features in time.
- Feature Extraction: Make use of functions like ‘appcoef’ and ‘detcoef’ for extracting the approximation and detail coefficients from wavelet decomposition respectively. These coefficients can then be used to calculate statistical features like energy and entropy.
- https://www.mathworks.com/help/wavelet/ref/wavedec.html
- https://www.mathworks.com/help/audio/ug/sequential-feature-selection-for-audio-features.html
- https://www.mathworks.com/help/wavelet/ref/appcoef.html
- https://www.mathworks.com/help/wavelet/ref/detcoef.html
- https://www.mathworks.com/help/audio/ref/mfcc.html
- https://www.mathworks.com/help/matlab/ref/cellfun.html