Audio Feature Extraction Java Library

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How to extract audio features in java? - Stack Overflow

https://stackoverflow.com/questions/4871291/how-to-extract-audio-features-in-java

The audio in any format is to be converted into pcm format and features like bandwidth, Zero Crossing Rate, Noise Frame Ratio, Pitch Strength and mel Frequency Cepctral Coefficients can be extracted from it. Then a data set is prepared using these features and then various audio classifiaction algoriths are applied to it.

JAUDIO: A FEATURE EXTRACTION LIBRARY

https://ismir2005.ismir.net/proceedings/2103.pdf

extract features from MPEG 1 audio rather than uncom-pressed audio. While it has a GUI front end, the GUI is geared towards visualization rather than controlling the feature extraction process (Pfeiffer et al. 2005). 3 DESIGN DECISIONS In order to address the issues introduced in Section 1, it was necessary to make a number of design decisions that

audio-feature-extraction · GitHub Topics · GitHub

https://github.com/topics/audio-feature-extraction

Java Implementation of the Sonopy Audio Feature Extraction Library by MycroftAI numpy scipy fft discrete-cosine-transform audio-processing dct fastfouriertransform mel-spectrogram powerspectrum audio-feature-extraction mfcc-features mfcc-extractor dct2 mfcc-algorithm rfft sonopy

Audio Features Extraction Framework - SourceForge

https://sourceforge.net/projects/afef/

Java framework based on jAudio feature extraction algorithms, but lightweight and easy for use. Support mp3, wav, aiff, aifc, au and snd files. Can extract 28 features. Categories Frameworks, Information Analysis, Analysis License GNU Library or Lesser General Public License version 3.0 (LGPLv3) Follow Audio Features Extraction Framework

A simple, portable, lightweight library of audio feature ...

https://pythonawesome.com/a-simple-portable-lightweight-library-of-audio-feature-extraction-functions/

LibXtract is a simple, portable, lightweight library of audio feature extraction functions. The purpose of the library is to provide a relatively exhaustive set of feature extraction primatives that are designed to be ‘cascaded’ to create a extraction hierarchies. For example, ‘variance’, ‘average deviation’, ‘skewness’ and ...

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