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Project detail
Duration: 05.03.2012 — 04.11.2016
Funding resources
Neveřejný sektor - Přímé kontrakty - smluvní výzkum, neveřejné zdroje- whole funder (2012-03-05 - 2016-11-04)
On the project
The Babel Program will develop agile and robust speech recognition technology that can be rapidly applied to any human language in order to provide effective search capability for analysts to efficiently process massive amounts of real-world recorded speech. Today's transcription systems are built on technology that was originally developed for English, with markedly lower performance on non-English languages. These systems have often taken years to develop and cover only a small subset of the languages of the world. Babel intends to demonstrate the ability to generate a speech transcription system for any new language within one week to support keyword search performance for effective triage of massive amounts of speech recorded in challenging real-world situations.
Description in CzechCílem Babel programu je vyvinout agilní a robustní technologii pro rozpoznávání řeči, která může být rychle aplikována na jakoukoli mluvenou řeč, tak aby poskytla účinnou vyhledávací kapacitu analytikům pro efektivní zpracování záznamů velmi objemných souborů dat spontánní řeči.
Keywordsspeech recognition, speaker recognition, language recognition, LVCSR, feature extraction, acoustic modelling, neural-network
Default language
English
People responsible
Andrla Petr, Ing. - fellow researcherCipr Tomáš, Ing. - fellow researcherKesiraju Santosh, Ph.D. - fellow researcherNovotný Ondřej, Ing., Ph.D. - fellow researcherOndel Lucas Antoine Francois, Mgr., Ph.D. - fellow researcherSkála František, Ing. - fellow researcherVeselý Karel, Ing., Ph.D. - fellow researcherMatějka Pavel, Ing., Ph.D. - principal person responsible
Units
Department of Computer Graphics and Multimedia - beneficiary (2011-05-20 - 2016-11-04)Raytheon BBN Technologies Corp- client (2011-05-20 - 2016-11-04)
Results
VESELÝ, K.; KARAFIÁT, M.; GRÉZL, F.; JANDA, M.; EGOROVA, E. The Language-Independent Bottleneck Features. Proceedings of IEEE 2012 Workshop on Spoken Language Technology. Miami: IEEE Signal Processing Society, 2012. p. 336-341. ISBN: 978-1-4673-5124-9.Detail
BURGET, L.; GLEMBEK, O.; MATĚJKA, P.; PLCHOT, O. 2012 Summary report of project "Processing and analysis of speech, automatic speaker identification". Cambridge: Raytheon BBN Technologies, 2012. p. 0-0.Detail
KARAFIÁT, M. Summary report for project "Multilingual speech recognition" in Year 2016. Brno: Raytheon BBN Technologies, 2016. p. 0-0.Detail
KARAFIÁT, M.; GRÉZL, F.; HANNEMANN, M.; VESELÝ, K. Summary report for project "Multilingual speech recognition" in Year 2015. Brno: Raytheon BBN Technologies, 2015. p. 0-0.Detail
PLCHOT, O.; BURGET, L.; SZŐKE, I. 2013 Summary report of project "Processing and analysis of speech, automatic speaker identification". Brno: Raytheon BBN Technologies, 2013. p. 0-0.Detail
Link
http://www.iarpa.gov/solicitations_babel.html