PRISM: Promoting Robustness in Speaker Modeling.This project is funded by US IARPA under the BEST program.

Description in Czech
Projekt PRISM v programu IARPA-BEST (využití vědy a technologií v biometrii) se věnuje zvyšování robustnosti v modelování mluvčího. Tento projekt je financován vládní agenturou USA, IARPA.

Keywords
speech recognition, robustness, speaker verification, speaker recognition, error reduction

English

Burget Lukáš, doc. Ing., Ph.D. - principal person responsible
Kajarekar Sachin, Msc. - fellow researcher
Shriberg Elisabeth - fellow researcher

Department of Computer Graphics and Multimedia
- responsible department (25.2.2010 - not assigned)
Speech Data Mining Research Group BUT Speech@FIT
- internal (25.2.2010 - 30.12.2011)
Intelligence Advanced Research Projects Activity
- client (25.2.2010 - 30.12.2011)
Department of Computer Graphics and Multimedia
- beneficiary (25.2.2010 - 30.12.2011)

KOCKMANN, M. Subspace modeling of prosodic features for speaker verification. Brno: 2012. 122 p.
Detail

FERRER, L.; BURGET, L.; PLCHOT, O.; SCHEFFER, N. A Unified Approach for Audio Characterization and its Application to Speaker Recognition. Proceedings of Odyssey 2012, The Speaker and Language Recognition Workshop. Singapur: International Speech Communication Association, 2012. p. 317-323. ISBN: 978-981-07-3093-2.
Detail

GLEMBEK, O.; BURGET, L.; BRÜMMER, N.; PLCHOT, O.; MATĚJKA, P. Discriminatively Trained i-vector Extractor for Speaker Verification. In Proceedings of Interspeech 2011. Proceedings of Interspeech. Florence: International Speech Communication Association, 2011. no. 8, p. 137-140. ISBN: 978-1-61839-270-1. ISSN: 1990-9772.
Detail

BURGET, L.; PLCHOT, O.; CUMANI, S.; GLEMBEK, O.; MATĚJKA, P.; BRÜMMER, N. Discriminatively Trained Probabilistic Linear Discriminant Analysis for Speaker Verification. In Proceedings of the 2011 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011. Praha: IEEE Signal Processing Society, 2011. p. 4832-4835. ISBN: 978-1-4577-0537-3.
Detail

LEI, Y.; BURGET, L.; FERRER, L.; GRACIARENA, M.; SCHEFFER, N. Towards Noise-Robust Speaker Recognition Using Probabilistic Linear Discriminant Analysis. Proc. International Conference on Acoustics, Speech, and Signal P. Kyoto: IEEE Signal Processing Society, 2012. p. 4253-4256. ISBN: 978-1-4673-0044-5.
Detail

KOCKMANN, M.; FERRER, L.; BURGET, L.; SHRIBERG, E.; ČERNOCKÝ, J. Recent Progress in Prosodic Speaker Verification. Proceedings of the 2011 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011. Praha: IEEE Signal Processing Society, 2011. p. 4556-4559. ISBN: 978-1-4577-0537-3.
Detail

FERRER, L.; BRATT, H.; BURGET, L.; ČERNOCKÝ, J.; GLEMBEK, O.; GRACIARENA, M.; LAWSON, A.; LEI, Y.; MATĚJKA, P.; PLCHOT, O.; SCHEFFER, N. Promoting robustness for speaker modeling in the community: the PRISM evaluation set. Proceedings of SRE11 Analysis Workshop in 2011. Atlanta, Georga: 2011. p. 1-7.
Detail

KOCKMANN, M.; FERRER, L.; BURGET, L.; ČERNOCKÝ, J. iVector Fusion of Prosodic and Cepstral Features for Speaker Verification. Proceedings of Interspeech 2011. Proceedings of Interspeech. Florence: International Speech Communication Association, 2011. no. 8, p. 265-268. ISBN: 978-1-61839-270-1. ISSN: 1990-9772.
Detail

Responsibility: Burget Lukáš, doc. Ing., Ph.D.