Voxforge Database Verification Protocols

Todo

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

(The original entry is located in /home/travis/build/bioidiap/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.spear.

bob.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:

   @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:

    @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 ./scripts/download_and_untar.sh that takes as input the path in which the data will be stored:

$ ./scripts/download_and_untar.sh PATH/TO/WAV/DIRECTORY

Documentation

• User’s Guide
  • The Database Interface
• Python API

Indices and tables

• Index
• Module Index
• Search Page