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 Czech
Cílem 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.

Keywords
speech recognition, speaker recognition, language recognition, LVCSR, feature extraction, acoustic modelling, neural-network

English

Matějka Pavel, Ing., Ph.D. - principal person responsible
Andrla Petr, Ing. - fellow researcher
Cipr Tomáš, Ing. - fellow researcher
Kesiraju Santosh, Ph.D. - fellow researcher
Novotný Ondřej, Ing., Ph.D. - fellow researcher
Ondel Lucas Antoine Francois, Mgr., Ph.D. - fellow researcher
Skála František, Ing. - fellow researcher
Veselý Karel, Ing., Ph.D. - fellow researcher

Department of Computer Graphics and Multimedia
- responsible department (20.5.2011 - not assigned)
Speech Data Mining Research Group BUT Speech@FIT
- internal (20.5.2011 - 4.11.2016)
Raytheon BBN Technologies Corp
- client (20.5.2011 - 4.11.2016)
Department of Computer Graphics and Multimedia
- beneficiary (20.5.2011 - 4.11.2016)

KARAFIÁT, M. 2014 Summary report of project "Processing and analysis of speech, automatic speaker identification". Brno: Raytheon BBN Technologies, 2014. p. 0-0.
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KARAFIÁT, M. Summary report for project "Multilingual speech recognition" in Year 2016. Brno: Raytheon BBN Technologies, 2016. p. 0-0.
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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.
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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.
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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.
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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.
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Responsibility: Matějka Pavel, Ing., Ph.D.