Skip to main content

Estimation of DRT Scores Using Objective Measures

  • Chapter
  • First Online:
Subjective Quality Measurement of Speech

Part of the book series: Signals and Communication Technology ((SCT))

  • 673 Accesses

Abstract

In this chapter, two different attempts at estimating the DRT scores using objective measures are described. Since subjective intelligibility is a time-consuming and laborious task, if estimation of intelligibility without using human listeners is possible, at least at some degree of accuracy, the cost reduction should be significant.

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 84.99
Price excludes VAT (USA)
  • Available as EPUB and 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
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover 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

References

  1. Barker, J., Cooke, M.: Modeling speaker intelligibility in noise. Speech Commun. 49(5), 402–417 (2007)

    Article  Google Scholar 

  2. Chen, G., Parsa, V.: Bayesian model based nonintrusive speech quality evaluation. In: Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing, vol. I, pp. 385–388. Philadelphia, PA (2005)

    Google Scholar 

  3. Hansen, J.H.L., Pellom, B.L.: An effective quality evaluation protocol for speech enhancement algorithms. In: Proceedings of the International Conference on Spoken Language Processing (ICSLP), vol. 7, pp. 2819–2822 (1998)

    Google Scholar 

  4. Hori, T., Katoh, M., Ito, A., Kohda, M.: A study on HMNets using phonetic decision tree-based successive state splitting. IEICE Trans. Inform. Syst. J80-D-II(10), 2645–2654 (1997)

    Google Scholar 

  5. Hu, Y., Loizou, P.C.: Evaluation of objective quality measures for speech enhancement. IEEE Trans. Audio, Speech Lang. Process. 16(1), 229–238 (2008)

    Google Scholar 

  6. ITU-T: ITU-T Recommendation P.862.1: Mapping functions for transforming P.862 raw result scores to MOS-LQO (2003)

    Google Scholar 

  7. ITU-T: ITU-T Recommendation P.862.2: Wideband extension to Recommendation P.862 for the assessment of wideband telephone networks and speech codecs (2007)

    Google Scholar 

  8. Kondo, K.: Estimation of speech intelligibility using objective measures. In: Proceedings of the Inter-noise 2011. International Institute of Noise Control Engineering, Osaka (2011)

    Google Scholar 

  9. Kondo, K.: Improving accuracy of estimated speech intelligibility scores by speech recognizers using multi-condition noise-adapted models. In: Proceedings of the Inter-noise 2011. International Institute of Noise Control Engineering, Osaka (2011)

    Google Scholar 

  10. Kondo, K.: Optimum orientation of parallel parametric speakers for simultaneous guide audio with minimum crosstalk. In: Proceedings of the Inter-noise 2011. International Institute of Noise Control Engineering, Osaka (2011)

    Google Scholar 

  11. Kondo, K., Izumi, R., Fujimori, M., Kaga, R., Nakagawa, K.: On a two-to-one selection based Japanese intelligibility test. J. Acoust. Soc. Jpn. 63(4), 196–205 (2007)

    Google Scholar 

  12. Kondo, K., Takano, Y.: Estimation of two-to-one forced selection intelligibility scores by speech recognizers using noise-adapted models. In: Proceedings of Interspeech, pp. 302–305. Tokyo, Japan (2010)

    Google Scholar 

  13. Leggeter, C.J., Woodland, P.J.: Maximum likelihood linear regression for speaker adaptation of continuous density hidden Markov models. Comput. Speech Lang. 9(2), 171–185 (1995)

    Article  Google Scholar 

  14. Ma, J., Hu, Y., Loizou, P.C.: Objective measures for predicting speech intelligibility in noisy conditions based on new band-importance functions. J. Acoust. Soc. Am. 125(5), 3387–3405 (2009)

    Article  Google Scholar 

  15. Maekawa, K., Koiso, H., Furui, S., Isahara, H.: Spontaneous speech corpus of Japanese. In: Proc. Second International Conference on Language Resources and Evaluation, pp. 947–952. Athens

    Google Scholar 

  16. Middag, C., Margens, J.P., Nuffelen, G.V.: Automated intelligibility assessment of pathological speech using phonological features. EURASIP J. Adv. Signal Process. M.D. (2009). (2009)

    Google Scholar 

  17. Rice University: Signal Processing Information Base (SPIB). http://spib.rice.edu/spib/select_noise.html

  18. Takano, Y., Kondo, K.: Estimation of speech intelligibility using speech recognition systems. IEICE Trans. Inf. Sys. 93-D(12), 3368–3376 (2010)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Kazuhiro Kondo .

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Kondo, K. (2012). Estimation of DRT Scores Using Objective Measures. In: Subjective Quality Measurement of Speech. Signals and Communication Technology. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27506-7_8

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-27506-7_8

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-27505-0

  • Online ISBN: 978-3-642-27506-7

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics