What features to extract from wavelet transform for acoustic scene classification.

Question

Khandakar Rashid 2019-9-6

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https://ww2.mathworks.cn/matlabcentral/answers/479175-what-features-to-extract-from-wavelet-transform-for-acoustic-scene-classification

回答： jibrahim 2019-9-6

Hi all,

I am working on classifying different tasks happening in a construction site from the ambient sounds. I have extracted some time-domain, frequency-domain, and cepstral-domain (e.g., MFCC, PLPCC) features from the audio. MFCC, and PLPCC are working great till now. Now I would like to try out some features from wavelet transform. I have never used wavelets before, and finding it a little hard to decide on which wavelet family and deconstruction level to use. Another thing is, how the final feature space is designed based on wavelet transforms. I mean, what type of time varying features are important for details and approximations? Any expert opinion will be highly appriciated.

I am attaching a sample 20 second audio waveform and spectrogram for reference if it helps.