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:
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} }
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