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 subset of the english audio files (only 6561 files) belonging to 30 speakers. This subset is splitted 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.speaker_recognition.

The xbob.speaker_recognition 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 uncompressed it locally:

$ wget http://pypi.python.org/packages/source/x/xbob.voxforge/xbob.db.voxforge-0.0.1.zip
$ unzip xbob.db.voxforge-0.0.1.zip
$ cd xbob.db.voxforge

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