Skip to main content
SpringerLink
Log in

Parallel Training of Neural Networks for Speech Recognition

  • Conference paper
Text, Speech and Dialogue (TSD 2010)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6231))

Included in the following conference series:

Abstract

The feed-forward multi-layer neural networks have significant importance in speech recognition. A new parallel-training tool TNet was designed and optimized for multiprocessor computers. The training acceleration rates are reported on a phoneme-state classification task.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Jan, J.: Číslicová filtrace, analýza a restaurace signálů. Vutium (2002) ISBN 80-214-1558-4

    Google Scholar 

  2. Karafiát, M., Grézl, F., Schwarz, P., Burget, L., Černocký, J.: Robust heteroscedastic Linear Discriminant Analysis and LCRC Posterior Features in Meeting Data Recognition. LNCS, pp. 275–284. Springer, Heidelberg (2007) ISBN 978-3-540-69267-6

    Google Scholar 

  3. Szöke, I., Schwarz, P., Matějka, P., Burget, L., Karafiát, M., Fapšo, M., Černocký, J.: Comparison of Keyword Spotting Approaches for Informal Continuous Speech. In: Proceedings of Interspeech 2005 – Eurospeech (2005) ISSN 1018-4074

    Google Scholar 

  4. Bishop, C.: Pattern Recognition and Machine Learning. Springer, Heidelberg (2006) ISBN 0-38-731073-8

    MATH  Google Scholar 

  5. Kontár, S.: Paralelní trénování neuronových sítí pro rozpoznávání řeči. FIT VUT Brno, diplomová práce (2006)

    Google Scholar 

  6. Pethick, M., Liddle, M., Werstein, P., Huang, Z.: Parallelization of a Backpropagation Neural Network on a Cluster Computer. In: Parallel and Distributed Computing and Systems. IASTED/ACTA Press (2003)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Speech@FIT, Brno University of Technology, Božetěchova 2, 61266, Brno, Czech Republic

    Karel Veselý, Lukáš Burget & František Grézl

Authors
  1. Karel Veselý
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Lukáš Burget
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. František Grézl
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Faculty of Informatics, Masaryk University, Brno, Czech Republic

    Petr Sojka

  2. Faculty of Informatics, Masaryk University, Botanická 68a, 602 00, Brno, Czech Republic

    Aleš Horák

  3. Faculty of Informatics, Masaryk University, Botanická 68a, CZ-602 00, Brno, Czech Republic

    Ivan Kopeček

  4. Faculty of Informatics, Department of Computer Graphics and Design, Masaryk University, Botanická 68a, 602 00, Brno, Czech Republic

    Karel Pala

Rights and permissions

Reprints and permissions

Copyright information

© 2010 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Veselý, K., Burget, L., Grézl, F. (2010). Parallel Training of Neural Networks for Speech Recognition. In: Sojka, P., Horák, A., Kopeček, I., Pala, K. (eds) Text, Speech and Dialogue. TSD 2010. Lecture Notes in Computer Science(), vol 6231. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15760-8_56

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-15760-8_56

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-15759-2

  • Online ISBN: 978-3-642-15760-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation