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A high-level toolkit for speaker recognition, build on top of ALIZE-Core.

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joanma100/LIA_RAL

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LIA_RAL

This package is part of the ALIZÉ project: http://alize.univ-avignon.fr

Welcome to LIA_RAL!

LIA_RAL is a set of utilities for Automatic Speaker Recognition developed at LIA, providing a high-level access to the ALIZÉ platform. All these utilities are based on the core ALIZE library, which is required in order to compile LIA_RAL.

LIA_RAL is an open project. Feel free to contact us to propose to work on it!

In order to use Support Vector Machines, the libsvm library is included in this package. For more information on libsvm, please refer to: http://www.csie.ntu.edu.tw/~cjlin/libsvm/

The Eigen library is also included into this package. For more information on Eigen, please refer to: http://eigen.tuxfamily.org

FAQ

What is needed to build and install the LIA_RAL library?

aclocal, autoconf, automake and libtool are required. This package also requires the core ALIZE library.

How to compile the LIA_RAL tools under Linux, Mac OS and Cygwin

Follow these four steps:

  1. Install the ALIZE library.
  2. Run, in this order:
    • aclocal
    • automake
    • autoconf
  3. Then run ./configure. By default, the ALIZE library is searched for in ../alize-core. It may be in a folder with a different name, depending on how you downloaded the library, or if you have decided to install it in a non-default location. If so, you can specify the absolute path by using the --with-alize=ABSOLUTE_PATH option.
  4. Finally, run make.

Note: At step 2, you may need to use automake --add-missing if the file compile cannot be found.

How to compile the LIA_RAL tools under Windows with Visual C++

Use the LIA_RAL.sln solution file. If your version of Visual Studio is newer than 2010, you just have to convert it using Visual studio tools.

I have problems compiling LIA_RAL

Please read this technote: http://alize.univ-avignon.fr/mediawiki/index.php/Main_Page

How to generate documentation

In a shell, in the main folder of LIA_RAL:

doxygen doxygen.cfg

Of course, you need to have doxygen installed.

How to compile LIA_RAL with multithreading enabled

Run ./configure with the option --enable-MT.

How to link with Lapack

Install LapackE then run ./configure with the option --enable-LAPACK.

Linking with the SPro library for the speaker detection server

LIA_RAL includes a server for remote speaker detection (in LIA_SpkDet/RemoteSpkDet). The server can be sent features, in order to train models and run tests. It can also optionally be sent audio, which it will parameterize. In order to do this, the server must be compiled with a link to the SPro library.

After downloading SPro 5 (https://gforge.inria.fr/projects/spro/), compile it according to the instructions in the package. If you are only going to use SPro for this purpose, there is no need to make install at the end, the compiled version can just stay in the distribution directory. If you install SPro somewhere else (by default, it installs in /usr/local/), then you need to copy the system.h file from the SPro distribution directory into the SPro include installation directory, since this file is needed for the compilation of SpkDetServer but not copied there by the SPro installation process.

Finally, use the --with-spro option when running configure for LIA_RAL. By default, it will look for SPro in ../spro. You can specify a different path if required (--with-spro=path).

Along with the speaker detection server, an example of a client is included. It is compiled with the rest of LIA_RAL, but it does not link with the ALIZE and LIA_RALlibraries and can be compiled completely independently.


For more information please refer to: http://alize.univ-avignon.fr/mediawiki/index.php/Main_Page

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A high-level toolkit for speaker recognition, build on top of ALIZE-Core.

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