Skip to main content
SpringerLink
Log in
Book cover

Speech Processing, Recognition and Artificial Neural Networks pp 229–232Cite as

Speech Modelling Virtual Laboratory

  • Conference paper

  • 249 Accesses

Abstract

Speech science and technology is so specific that it is vital to have good tools for its experimental research. Speech Modelling Virtual Laboratory (SM VirtLab), presented in this paper, is an attempt to design a set of tools required for speech recognition, understanding, synthesis methods modelling and system architecture tests. It assumes auxiliary tasks like speech signal recording, collecting, segmentation and natural languages knowledge accumulation. Implemented features allow for the setting of experiments for speech signal transformations, pre-processing, recognition, understanding, and synthesis. Ways to make SM VirtLab open for custom research features as well as its compatibility with popular tools for scientific research are discussed.

This is a preview of subscription content, 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

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. T.K. Vintsiuk. Analysis, Recognition and Understanding of Speech Signals — ;Kiev: Naukova Dumka, 1987,264 p (in Russian).

    Google Scholar 

  2. T.K. Vintsiuk. Two Approaches to Create a Dictation/Translation Machine. — Proc. of the 2nd Intern. Workshop “Speech and Computer”, Cluj-Napoca, 1997, pp 1–6.

    Google Scholar 

  3. F. Gallwitz, A. Barliner, J. Buckow, R. Huber, H. Niemann, E. Noeth. Pushing Forward the Interface between Recognition and Understanding How to Integrate Syntactic Structure into the Output of a Word Recognizer. — Proc. Of the First Workshop on Text, Speech, Dialogue — TSD’98, Brno, Czech Republic, September, 1998, pp 201 –206.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. NAS Institute of Cybernetics, UNESCO/IIP International Research-Training Centre for Information Technologies and Systems, Kyjiv, 252022, Ukraine

    Mykola Sazhok

Authors
  1. Mykola Sazhok
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. ENST-CNR URA 820, 46 rue Barrault, 75634, Paris Cedex 13, France

    Gerard Chollet PhD

  2. INFOCOM Department, Rome University “La Sapienza”, via Eudossiana 18, I00184, Rome, Italy

    Maria Gabriella Di Benedetto PhD

  3. IIASS, via G Pellegrino 19, I-84019, Vietri sul Mare (SA), Italy

    Anna Esposito PhD  & Maria Marinaro PhD  & 

Rights and permissions

Reprints and permissions

Copyright information

© 1999 Springer-verlag London Limited

About this paper

Cite this paper

Sazhok, M. (1999). Speech Modelling Virtual Laboratory. In: Chollet, G., Di Benedetto, M.G., Esposito, A., Marinaro, M. (eds) Speech Processing, Recognition and Artificial Neural Networks. Springer, London. https://doi.org/10.1007/978-1-4471-0845-0_12

Download citation

  • DOI: https://doi.org/10.1007/978-1-4471-0845-0_12

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-85233-094-1

  • Online ISBN: 978-1-4471-0845-0

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics

Search

Navigation