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 'kurtosis', all require the 'mean' of the input vector to be precomputed. However, rather than compute the 'mean' 'inside' each function, it is expected that the 'mean' will be passed in as an argument. This means that if the user wishes to use all of these features, the mean is calculated only once, and then passed to any functions that require it.
This philosophy of 'cascading' features is followed throughout the library, for example with features that operate on the magnitude spectrum of a signal vector (e.g. 'irregularity'), the magnitude spectrum is not calculated 'inside' the respective function, instead, a pointer to the first element in an array containing the magnitude spectrum is passed in as an argument.
Hopefully this not only makes the library more efficient when computing large numbers of features, but also makes it more flexible because extraction functions can be combined arbitrarily (one can take the irregularility of the Mel Frequency Cepstral Coefficients for example).
A complete list of features can be found by viewing the header files, or reading the doxygen documentation, available with this package.
The latest source code release for LibXtract can be downloaded from https://github.com/jamiebullock/LibXtract/downloads.
To build the SWIG bindings SWIG is required. For the Python bindings, a Python install is required. For the Java bindings a Java install is required.
make install to build and install to
make install PREFIX=/somewhere/else to install to
LibXtract headers are documented using doxygen comments.
If you have doxygen installed, the LibXtract build system should automatically detect this during
configure and generate LaTeX and HTML documentation in the
doc directory when LibXtract is built with
The generated HTML documentation can then be viewed in a web browser by opening the file
Pre-generated documentation can be found on the LibXtract website
Copyright (C) 2012 Jamie Bullock
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