Voxforge Database Verification Protocols


Explain the particularities of the bob.db.voxforge.Database database.

(The original entry is located in /scratch/builds/bob/bob.db.voxforge/doc/guide.rst, line 18.)

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 bob.bio.spear.

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:

      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:

       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):

$ download_and_untar_voxforge.py --address PATH/TO/WAV/DIRECTORY


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.

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