Skip to main content
Have a personal or library account? Click to login
An Experiment with Evaluation of Emotional Speech Conversion by Spectrograms Cover

An Experiment with Evaluation of Emotional Speech Conversion by Spectrograms

By:  and    
Open Access
|Jun 2010

References

  1. Möller, S., Jekosch, U., Mersdorf, J., Kraft, V. (2001). Auditory assessment of synthetized speech in application scenarios: two case studies., 34, 229-246.
  2. Audibert, N., Vincent, D., Aubergé, V., Rosec, O. (2006). Evaluation of expressive speech resynthesis. InGenova, Italy, 37-40.
  3. Gobl, C., Ní Chasaide, A. (2003). The role of voice quality in communicating emotion, mood and attitude., 40, 189-212.
  4. Tučková, J., Holub, J., Duběda, T. (2009). Technical and phonetic aspects of speech quality assessment: the case of prosody synthesis. In Esposito, A., Vích, R. (eds.)Lecture Notes in Artificial Intelligence 5641. Berlin Heidelberg: Springer-Verlag, 106-115.
  5. Přibilová, A., Přibil, J. (2006). Non-linear frequency scale mapping for voice conversion in text-to-speech system with cepstral description., 48, 1691-1703.
  6. Přibil, J., Přibilová, A. (2008). Application of expressive speech in TTS system with cepstral description. In Esposito, A. et. al (eds.)Lecture Notes in Artificial Intelligence 5042. Berlin Heidelberg: Springer-Verlag, 201-213.
  7. Volaufová, J. (2005). Statistical methods in biomedical research and measurement science., 5 (1), 1-10.
  8. Hartung, J., Makambi, H. K, Arcac, D. (2001). An extended ANOVA F-test with applications to the heterogeneity problem in meta-analysis., 43 (2), 135-146.
  9. Welch, P. D. (1967). The use of fast Fourier transform for the estimation of power spectra: a method based on time averaging over short, modified periodograms., AU-15, 70-73.
  10. Stoica, P., Moses, R. L. (1997).Prentice-Hall, 52-54
  11. Slifka, J., Anderson, T. R. (1995). Speaker modification with LPC pole analysis. InDetroit, 644-647.
  12. Přibilová, A., Přibil, J. (2009). Spectrum modification for emotional speech synthesis. In Esposito, A. et. al. (eds.)Lecture Notes in Artificial Intelligence 5398. Berlin Heidelberg: Springer-Verlag, 232-241.
  13. Přibilová, A., Přibil, J. (2009). Harmonic model for female voice emotional synthesis. In Fierrez, J. et al. (eds.)Lecture Notes in Artificial Intelligence 5707. Berlin Heidelberg: Springer-Verlag, 49-56.
  14. Scherer, K. R. (2003). Vocal communication of emotions: review of research paradigms., 40, 227-256.
  15. Benesty, J., Sondhi, M. M., Huang, Y. (eds.) (2008).Berlin Heidelberg: Springer-Verlag.
  16. Khuri, A. I., Mathew, T., Sinha, B. K. (1998).New York: John Wiley & Sons.
  17. Srinivasan, S., DeLiang, W. (2010). Robust speech recognition by integrating speech separation and hypothesis testing., 52, 72-81.
  18. Atassi, H., Smékal, Z. (2008). Real-time model for automatic vocal emotion recognition. InParádfürdö, Hungary, 21-25.
Language: English
Page range: 72 - 77
Published on: Jun 16, 2010
Published by: Slovak Academy of Sciences, Institute of Measurement Science
In partnership with: Paradigm Publishing Services
Publication frequency: Volume open

© 2010 J. Přibil, A. Přibilová, published by Slovak Academy of Sciences, Institute of Measurement Science
This work is licensed under the Creative Commons License.