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The 2012 NIST Speaker Recognition Evaluation (SRE12) is part of an ongoing series that starts in 1996.
In this package, we implement speaker recognition protocols (both Male and Female) for the NIST SRE 2012. The file lists of the development set were designed by the I4U consortium during its participation to the competition. Special thanks to Rahim Saeidi for the good work. The file names were then normalized following the PRISM definition.
This package is automatically downloaded/used by xbob.spkrec.nist_sre12 to reproduce the results of Idiap Research Institute at SRE12. xbob.spkrec.nist_sre12 itself relies on xbob.spkrec, an open-source speaker recognition toolbox developed at Idiap. The list files can also be used independently as explained below.
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{\'{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} }The paper that described the development set used by the I4U consortium:
@inproceedings{Saedi_INTERSPEECH_2013, author = {Saeidi, Rahim and others}, month = {aug}, title = {I4U Submission to NIST SRE 2012: a large-scale collaborative effort for noise-robust speaker verification}, booktitle = {INTERSPEECH}, year = {2013}, location = {Lyon, France}, pdf = {to appear} }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.nist_sre12/xbob.db.nist_sre12-0.0.1a0.zip $ unzip xbob.db.nist_sre12-0.0.1a0.zip $ cd xbob.db.nist_sre12-0.0.1a0
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
You need to order the NIST SRE databases (Fisher, Switchboard, and Mixer):
http://www.ldc.upenn.edu/Catalog/CatalogEntry.jsp?catalogId=LDC2013S03
Please follow the instructions and the evaluation plan given by NIST:
http://www.nist.gov/itl/iad/mig/sre12.cfm
Depending on the release year, the data may need to be flatten and reorganized. Please, follow the file structure as appearing when running:
$ bin/bob_dbmanage.py nist_sre12 dumplist
Adding noise
In order to better represent the SRE12 evaluation set, 2 noisy versions (SNR=6dB and SNR=15dB) of the same segments were included to the development set. This can be done using FaNT:
http://dnt.kr.hsnr.de/download.html
Speech enhancement
The denoising of the audio signal can be done using QIO:
http://www1.icsi.berkeley.edu/Speech/papers/qio/
Using independently the file lists
The file lists of the development and evaluation sets are shipped with this package. They can be used independently, and can be found here:
$ cd xbob/db/nist_sre12/lists/
The file lists of the development set were prepared by the I4U consortium.
In case you need any help, please contact us.
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