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 xbob.spkrec.
The xbob.spkrec 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:
The original paper presented at the NIST SRE 2012 workshop:
@inproceedings{Khoury_NISTSRE_2012, author = {Khoury, Elie and El Shafey, Laurent and Marcel, S{\'{e}}bastien}, month = {dec}, title = {The Idiap Speaker Recognition Evaluation System at NIST SRE 2012}, booktitle = {NIST Speaker Recognition Conference}, year = {2012}, location = {Orlando, USA}, organization = {NIST}, pdf = {http://publications.idiap.ch/downloads/papers/2012/Khoury_NISTSRE_2012.pdf} }Bob as the core framework used to run the experiments:
@inproceedings{Anjos_ACMMM_2012, author = {A. Anjos and L. El Shafey and R. Wallace and M. G\"unther and C. McCool and S. Marcel}, 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}, url = {http://publications.idiap.ch/downloads/papers/2012/Anjos_Bob_ACMMM12.pdf}, }
Installation
Just download this package and decompress it locally:
$ wget http://pypi.python.org/packages/source/x/xbob.db.voxforge/xbob.db.voxforge-0.0.1a2.zip $ unzip xbob.db.voxforge-0.0.1a2.zip $ cd xbob.db.voxforge-0.0.1a2
Use buildout to bootstrap and have a working environment ready for experiments:
$ python bootstrap $ ./bin/buildout
This also requires that bob (>= 1.2.0) is installed.
Getting the data
The data can be downloaded from its original URL (on Voxforge) and extracted by running download_and_untar.sh that takes as input the path in which the data will be stored:
$ ./download_and_untar.sh PATH/TO/WAV/DIRECTORY
In case you need a help, please contact us.
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