Skip to main content
SpringerLink
Log in

The Optimal Wavelet for Speech Compression

  • Conference paper
Advances in Computing and Communications (ACC 2011)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 192))

Included in the following conference series:

Abstract

The main idea of speech compression is to reduce the bite rate of the speech for communication or storage without significant loss of quality. There are mainly three functional categories of speech processing methods in use. The new technique called wavelet transform is being used for speech signal analysis and synthesis. The major issues regarding the design of real time wavelet based speech coder are choosing optimal wavelets for the compression, and selecting suitable frame size etc. The performance of the different wavelets families on speech compression is evaluated and compared based on different parameters. Male and female speech is used for the comparison and analysis.

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. Kondoz, A.M.: Digital Speech, 2nd edn. John Wiley& Sons Ltd., West Sussex. ISBN 0-470-87007 9(HB)

    Google Scholar 

  2. Sayood, K.: Introduction to Data compression Book, 2nd edn. Elsevier, Amsterdam. ISBN 1 55860-558-4

    Google Scholar 

  3. Karam, J.: A new approach in Wavelet based Speech Compression Mathematical Methods, Computational Techniques, Non Linear Systems Intelligent Systems. ISBN 978-960-474-012-3

    Google Scholar 

  4. Soman, K.P., Ramachandran, K.: In Sight into Wavelets from Theory to Practice. In: PHI, 2nd edn. (2008) ISBN 978-81-203-2902-7

    Google Scholar 

  5. Joseph, S.M., Sebatian, R., Babu Anto, P.: The effect of different wavelets on speech compression. In: ACM Proceedings of the 2011 International Conference on Communication, Computing & Security (2011) ISBN: 978-1-4503-0464-1

    Google Scholar 

  6. Chan, Y.T.: Wavelet Basics. Kulwer Academic Publications, Boston (1995)

    Book  Google Scholar 

  7. Daubechies: Ten Lecturers on wavelets. Society for Industrial and Applied Mathematics (1992)

    Google Scholar 

  8. Mallat, S.A.: Theory for MuItiresolution Signal Decomposition: The Wavelet Representation. IEEE Transactions on Pattern Analysis Machine Intelligence 31, 674–693 (1989)

    Article  MATH  Google Scholar 

  9. Abdul Mawala, M.A., Ram, N.A.R.: Comparing Speech Compression using Wavelets with Other Speech Compression Schemes. In: Proceedings of Student Conference on Research and Development, Putrajaya, Malayia (2003)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. School of Information Science & Technology, Kannur University, Mangattuparamba Campus, Kannur, Kerala, India, 670 567

    Shijo M. Joseph & P. Babu Anto

Authors
  1. Shijo M. Joseph
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. P. Babu Anto
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Machine Intelligence Research Labs (MIR Labs), Auburn, 98071-2259, Washington, USA

    Ajith Abraham

  2. Departamento de Comunicaciones, Universidad Politcnica de Valencia, 46071, Valencia, Spain

    Jaime Lloret Mauri

  3. Avaya Labs Research, Basking Ridge, NJ, USA

    John F. Buford

  4. University of Massachusetts, 100 Morrissey Blvd., 02125-3393, Boston, MA, USA

    Junichi Suzuki

  5. Rajagiri School of Engineering and Technology, Rajagiri Valley, Kakkanad, 682 039, Kochi, India

    Sabu M. Thampi

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Joseph, S.M., Anto, P.B. (2011). The Optimal Wavelet for Speech Compression. In: Abraham, A., Mauri, J.L., Buford, J.F., Suzuki, J., Thampi, S.M. (eds) Advances in Computing and Communications. ACC 2011. Communications in Computer and Information Science, vol 192. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22720-2_42

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-22720-2_42

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-22719-6

  • Online ISBN: 978-3-642-22720-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation