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Some Basic Audio Features - File Exchange - MATLAB Central
https://www.mathworks.com/matlabcentral/fileexchange/19236-some-basic-audio-features#:~:text=The%20provided%20Matlab%20code%20computes%20some%20of%20the,to%20be%20used%20for%20classifying%20the%20given%20classes.
Extract audio features - MATLAB extract - MathWorks
https://www.mathworks.com/help/audio/ref/audiofeatureextractor.extract.html
features — Extracted audio featuresvector | matrix | 3-D array. Extracted audio features, returned as an L -by- M -by- N array, where: L –– Number of feature vectors (hops) M –– Number of features extracted per analysis window. N –– …
Sequential Feature Selection for Audio Features - …
https://www.mathworks.com/help/audio/ug/sequential-feature-selection-for-audio-features.html
steThreshold = 0.015; idxVec = 1:fs; tic while toc < 20 % Read in a frame of audio from your device. audioIn = deviceReader (); % Write the audio into a the buffer. write (audioBuffer,audioIn); % While 200 ms of data is unused, continue this …
Streamline audio feature extraction - MATLAB
https://www.mathworks.com/help/audio/ref/audiofeatureextractor.html
MATLAB® automatically optimizes the queued calculations by minimizing the number of passes through the data. If you have Parallel Computing Toolbox™, you can spread the calculations across multiple machines. The audio data is …
Some Basic Audio Features - File Exchange - MATLAB …
https://www.mathworks.com/matlabcentral/fileexchange/19236-some-basic-audio-features
The features are calculated in a two-step way: In particular, the following audio features and respective statistics are extracted for each audio segment: Features Statistics Energy Entropy Standard Deviation (std) Signal Energy Std by Mean (average) Ratio Zero Crossing Rate Std Spectral Rolloff Std Spectral Centroid Std
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