Skip to main content
SpringerLink
Log in

Sinusoidal Modelling with Complex Exponentials for Speech and Audio Signals

  • Conference paper
  • First Online:
Book cover Pattern Recognition and Image Analysis (IbPRIA 2003)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2652))

Included in the following conference series:

  • 922 Accesses

Abstract

In this paper we propose a new approach based on energy-adaptive matching pursuits to improve sinusoidal modelling of speech and audio signals for coding and recognition purposes. To reduce the complexity of the algorithm, an over-complete dictionary composed of complex exponentials is used and an efficient implementation is presented. An analysis-synthesis windows scheme that avoids overlapping is proposed, too. Experimental results show evidence of the advantages of the proposed method for sinusoidal modelling of speech and audio signals compared to some others proposed in the literature.

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 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
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. McAulay, R., Quatieri, T.: Speech analysis synthesis based on a sinusoidal representation. IEEE Transaction on Acoustic Speech and Signal Processing 34, 744–754 (1986)

    Article  Google Scholar 

  2. Thomson, D.: Spectral estimation and harmonic analysis. Proceedings of the IEEE 70 (1982)

    Google Scholar 

  3. George, E., Smith, M.: Analysis-by-synthesis/overlap-add sinusoidal modeling applied to the analysis and synthesis of musical tones. Journal of the Audio Engineering Society 40, 497–515 (1992)

    Google Scholar 

  4. Goodwin, M.: Adaptive signal models: theory, algorithms and audio applications. Kluwer Academic Publishers, Dordrecht (1998)

    Book  Google Scholar 

  5. Chang, W., Wang, D.: Perceptual quantisation of lpc excitation parameters. IEE Proc. Vision, Image and Signal Processing 145, 155–159 (1998)

    Article  Google Scholar 

  6. Painter, T., Spanias, A.: Perceptual segmentation and component selection in compact sinusoidal representation of audio. In: Proc. IEEE Int. Conf. on Acoustic, Speech and Signal Processing, vol. 5, pp. 3289–3292 (2001)

    Google Scholar 

  7. Mallat, S., Zhang, Z.: Matching pursuits with time-frequency dictionaries. IEEE Transaction on Signal Processing 41, 3397–3415 (1993)

    Article  Google Scholar 

  8. Verma, T., Meng, T.: Sinusoidal modeling using frame-based perceptually weighted matching pursuits. In: Proc. IEEE Int. Conf. on Acoustic, Speech and Signal Processing, vol. 2, pp. 981–984 (1999)

    Google Scholar 

  9. George, E., Smith, M.: Speech analysis/synthesis and modifications using an analysis-by-synthesis/overlap-add sinusoidal model. IEEE Trans. on Speech and Audio Processing 5, 389–406 (1997)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Electronic Department, University of Jaén, Polytechnical School, C/ Alfonso X el Sabio 28, 23700, Linares, Jaén, Spain

    P. Vera-Candeas, N. Ruiz-Reyes, D. Martinez-Muñoz & J. Curpian-Alonso

  2. Signal Theory and Communications Department, University of Alcalá, Polytechnical School, Ctra. Madrid-Barcelona km 33.6, 28871, Alcalá de Henares, Madrid, Spain

    M. Rosa-Zurera

  3. Informatics Department, University of Jaén, Polytechnical School, Avda. Madrid 35, 23008, Jaén, Spain

    M. J. Lucena-Lopez

Authors
  1. P. Vera-Candeas
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. N. Ruiz-Reyes
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. D. Martinez-Muñoz
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. J. Curpian-Alonso
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. M. Rosa-Zurera
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. M. J. Lucena-Lopez
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Unitat de Gràfics i Visió per Ordinador Departament de Ciències Matemàtiques i Informàtica, Universitat de les Illes Balears Edifici Anselm Turmeda, Ctra. de Valldemossa km 7,5, 07122, Palma de Mallorca, Spain

    Francisco José Perales

  2. FEUP - Faculdade de Engenharia, Universidade do Porto, Rua Dr. Roberto Frias, 4200-465, Porto, Portugal

    Aurélio J. C. Campilho

  3. Departamento de Ciencias da la Computacíon e I.A., Universidad de Granada, E.T. S. Ing. Informática, 18071, Granada, Spain

    Nicolás Pérez de la Blanca

  4. Dept. System Engineering and Automation, Universitat Politècnica de Catalunya (UPC) Barcelona, Spain

    Alberto Sanfeliu

Rights and permissions

Reprints and permissions

Copyright information

© 2003 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Vera-Candeas, P., Ruiz-Reyes, N., Martinez-Muñoz, D., Curpian-Alonso, J., Rosa-Zurera, M., Lucena-Lopez, M.J. (2003). Sinusoidal Modelling with Complex Exponentials for Speech and Audio Signals. In: Perales, F.J., Campilho, A.J.C., de la Blanca, N.P., Sanfeliu, A. (eds) Pattern Recognition and Image Analysis. IbPRIA 2003. Lecture Notes in Computer Science, vol 2652. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-44871-6_121

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-44871-6_121

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40217-6

  • Online ISBN: 978-3-540-44871-6

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics

Search

Navigation