Project Details

Výzkum a vývoj korpusových a hlasových technologií v nové generaci elektronických slovníků

Project Period: 1. 6. 2006 – 31. 12. 2009

Project Type: grant

Code: FT-TA3/006

Agency: Ministerstvo průmyslu a obchodu ČR

Program: TANDEM

English title
Research and development of corpus and speech technologies in new generation of electronic dictionaries
Type
grant
Keywords

electronic dictionaries, audio corpora, speech recognition, speech synthesis,
automatic segmentation, keyword-spotting, text corpora, tagging of corpora,
information retrieval

Abstract

The project is focused on the development of a new generation of electronic
dictionaries using advanced large language corpora technologies, and on the user
interfaces based on speech recognition. The corpus solutions have so far been
used in the research community and they are only slowly finding their way to the
target applications, the same holds for voice technologies. The proposed project
will allow the R&D group of Lingea s.r.o. a shift in state-of-the-art on the
Czech as well as international levels. It will thus valorize the funds so far
invested into R&D within Lingea. At the cooperating institution - Faculty of
Information Technolology, Brno University of Technology, this project will
support important research group: Speech@FIT and it will facilitate the transfer
of its results to the industrial world.

Team members
Černocký Jan, prof. Dr. Ing. (DCGM) – research leader
Fapšo Michal, Ing., Ph.D.
Grézl František, Ing., Ph.D. (DCGM)
Pešán Jan, Ing. (DCGM)
Schwarz Petr, Ing., Ph.D. (DCGM)
Szőke Igor, Ing., Ph.D. (DCGM)
Publication Results

2009

  • KOCKMANN, M.; BURGET, L.; ČERNOCKÝ, J. Brno University of Technology System for Interspeech 2009 Emotion Challenge. Proc. Interspeech 2009. Proceedings of Interspeech. Brighton: International Speech Communication Association, 2009. no. 9, p. 348-351. ISSN: 1990-9772. Detail
  • MIKOLOV, T.; KOPECKÝ, J.; BURGET, L.; GLEMBEK, O.; ČERNOCKÝ, J. Neural network based language models for highly inflective languages. Proc. ICASSP 2009. Taipei: IEEE Signal Processing Society, 2009. p. 1-4. ISBN: 978-1-4244-2354-5. Detail

2008

  • KOPECKÝ, J.; GLEMBEK, O.; KARAFIÁT, M. Advances in Acoustic Modeling for the Recognition of Czech. Proc. 11th International Conference on Text, Speech and Dialogue. Lecture Notes in Computer Science. Berlin: Springer Verlag, 2008. p. 357-363. ISBN: 978-3-540-87390-7. Detail
  • OPARIN, I.; GLEMBEK, O.; BURGET, L.; ČERNOCKÝ, J. Morphological random forests for language modeling of inflectional languages. Proc. 2008 IEEE Workshop on Spoken Language Technology. Goa: IEEE Signal Processing Society, 2008. p. 1-4. ISBN: 978-1-4244-3472-5. Detail

2007

  • HRDLIČKA, P. Isolated word recognition. Proc. 13th Conference STUDENT EEICT 2007. Brno: Fakulta elektrotechniky a komunikačních technologií VUT v Brně, 2007. s. 1-3. ISBN: 9788021434103. Detail
  • VESELÝ, K. Hybrid recognizer of isolated words. Proc. 13th Conference STUDENT EEICT 2007. Brno: Faculty of Electrical Engineering and Communication BUT, 2007. p. 1-3. ISBN: 9788021434103. Detail
Applied Results

2009

Results with Impact on Practice

2010

2009

2008

2007

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