.. vim: set fileencoding=utf-8 : .. @author: Manuel Guenther .. @date: Tue Aug 26 09:42:18 CEST 2014 .. _bob.db.voxforge: ========================================== Voxforge Database Verification Protocols ========================================== .. todolist:: Speaker recognition protocol on the Voxforge Database ===================================================== `Voxforge`_ offers a collection transcribed speech for use with **Free** and **Open Source Speech Recognition Engines**. In this package, we design a speaker recognition protocol that uses a **small subset of the english audio files** (only 6561 files) belonging to **30 speakers** randomly selected. This subset is split into three equivalent parts: Training (10 speakers), Development (10 speakers) and Test (10 speakers) sets. This package serves as a toy example of speaker recognition database while testing :ref:`bob.bio.spear `. :ref:`bob.bio.spear ` is developed at Idiap_ during its participation to the `NIST SRE 2012 evaluation`_. If you use this package and/or its results, please cite the following publications: 1. The original paper presented at the NIST SRE 2012 workshop: .. code-block:: latex @inproceedings{Khoury_NISTSRE_2012, author = {Khoury, Elie and El Shafey, Laurent and Marcel, S\'ebastien}, title = {The Idiap Speaker Recognition Evaluation System at NIST SRE 2012}, booktitle = {NIST Speaker Recognition Conference}, year = {2012}, month = dec, location = {Orlando, USA}, organization = {NIST}, pdf = {http://publications.idiap.ch/downloads/papers/2012/Khoury_NISTSRE_2012.pdf} } 2. Bob_ as the core framework used to run the experiments: .. code-block:: latex @inproceedings{Anjos_ACMMM_2012, author = {Anjos, Andr\'e and El Shafey, Laurent and Wallace, Roy and G\"unther, Manuel and McCool, Christopher and Marcel, S\'ebastien}, title = {Bob: a free signal processing and machine learning toolbox for researchers}, year = {2012}, month = oct, booktitle = {20th ACM Conference on Multimedia Systems (ACMMM), Nara, Japan}, publisher = {ACM Press}, pdf = {http://publications.idiap.ch/downloads/papers/2012/Anjos_Bob_ACMMM12.pdf} } Getting the data ---------------- The original data can be downloaded directly from Voxforge_, or by running ``download_and_untar_voxforge.py`` which takes as input the path in which the data will be stored (using ``VOXFORGE_DATABSE`` as default): .. code-block:: sh $ download_and_untar_voxforge.py --address PATH/TO/WAV/DIRECTORY .. note:: Running this script requires this package to be installed. If you are using an installation strategy (such as ``pip``), the directory, where the script is placed, might differ. Documentation ------------- .. toctree:: :maxdepth: 2 guide py_api Indices and tables ------------------ * :ref:`genindex` * :ref:`modindex` * :ref:`search` .. _bob: https://www.idiap.ch/software/bob .. _voxforge: http://www.voxforge.org .. _nist sre 2012 evaluation: http://www.nist.gov/itl/iad/mig/sre12.cfm .. _idiap: http://www.idiap.ch