MATLAB Answers

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

20 ビュー (過去 30 日間)
Khandakar Rashid
Khandakar Rashid 2019 年 9 月 6 日
回答済み: jibrahim 2019 年 9 月 6 日
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.


jibrahim 2019 年 9 月 6 日
Hi Khandakar,
This example in Audio Toolbox might be of interst to you:
In addition to mel spectrograms, it also showcases wavelet scattering.

その他の回答 (0 件)

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by