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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:

  1. 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}
    }
  2. 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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