Skip to main content

Statistical Analysis of Complementary Spectral Features of Emotional Speech in Czech and Slovak

  • Conference paper
Text, Speech and Dialogue (TSD 2011)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6836))

Included in the following conference series:

Abstract

Several spectral features quantify speaker-dependent as well as emotion-dependent characteristics of a speech signal. It means these features provide information which complements the vocal tract characteristics. This paper analyzes and compares complementary spectral features distribution (spectral centroid, spectral flatness measure, Shannon entropy) of male and female acted emotional speech in Czech and Slovak languages.

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

Access this chapter

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. Scherer, K.R.: Vocal Communication of Emotion: A Review of Research Paradigms. Speech Communication 40, 227–256 (2003)

    Article  MATH  Google Scholar 

  2. Iriondo, I., Planet, S., Socoró, J.-C., Martínez, E., Alías, F., Monzo, C.: Automatic Refinement of an Expressive Speech Corpus Assembling Subjective Perception and Automatic Classification. Speech Communication 51, 744–758 (2009)

    Article  Google Scholar 

  3. Luengo, I., Navas, E., Hernáez, I.: Feature Analysis and Evaluation for Automatic Emotion Identification in Speech. IEEE Transactions on Multimedia 12, 490–501 (2010)

    Article  Google Scholar 

  4. Barra, R., Montero, J.M., Marcías-Guarasa, J., D’Haro, L.F., San-Segundo, R., Córdoba, R.: Prosodic and Segmental Rubrics in Emotion Identification. In: Proceedings of 2006 IEEE International Conference on Acoustics, Speech, and Signal Processing, Toulouse, France, pp. I-1085–I-1088 (2006)

    Google Scholar 

  5. Ververidis, D., Kotropoulos, C.: Emotional Speech Recognition: Resources, Features, and Methods. Speech Communication 48, 1162–1181 (2006)

    Article  Google Scholar 

  6. Hosseinzadeh, D., Krishnan, S.: On the Use of Complementary Spectral Features for Speaker Recognition. EURASIP Journal on Advances in Signal Processing, Article ID 258184,10 (2008)

    Google Scholar 

  7. Vích, R.: Cepstral Speech Model, Padé Approximation, Excitation, and Gain Matching in Cepstral Speech Synthesis. In: Proceedings of the 15th Biennial EURASIP Conference Biosignal 2000, Brno, Czech Republic, pp. 77–82 (2000)

    Google Scholar 

  8. Li, X., Liu, H., Zheng, Y., Xu, B.: Robust Speech Endpoint Detection Based on Improved Adaptive Band-Partitioning Spectral Entropy. In: Li, K., Fei, M., Irwin, G.W., Ma, S. (eds.) LSMS 2007. LNCS, vol. 4688, pp. 36–45. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  9. Lee, W.-S., Roh, Y.-W., Kim, D.-J., Kim, J.-H., Hong, K.-S.: Speech Emotion Recognition Using Spectral Entropy. In: Xiong, C., Liu, H., Huang, Y., Xiong, Y. (eds.) ICIRA 2008. LNCS (LNAI), vol. 5315, pp. 45–54. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Přibil, J., Přibilová, A. (2011). Statistical Analysis of Complementary Spectral Features of Emotional Speech in Czech and Slovak. In: Habernal, I., Matoušek, V. (eds) Text, Speech and Dialogue. TSD 2011. Lecture Notes in Computer Science(), vol 6836. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23538-2_38

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-23538-2_38

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23537-5

  • Online ISBN: 978-3-642-23538-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics