Skip to main content

Signal-Aware Parametric Quality Model forĀ Audio and Speech over IP Networks

  • Conference paper
MultiMedia Modeling (MMM 2015)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8935))

Included in the following conference series:

  • 3730 Accesses

Abstract

This paper proposes a new signal-aware parametric quality assessment model for audio and speech over IP. The perceptual importance of the reproducing packets and relevant neighborhoods are included in the model. The model is developed from a built audio and speech quality assessment framework using the Artificial Neural Networks(ANN). The overall quality is evaluated by combining the signal-aware parameters with network parameters using a large set of audio and speech samples. It is shown that the signal-aware approach gains higher correlation with the improved PEAQ outputs compared with other parametric method such as E-model.

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. Jonsson, L., Coinchon, M.: Streaming audio contributions over IP (PDF). EBU Technical Review (2008) (retrieved December 27, 2010)

    Google ScholarĀ 

  2. AVS_M2421, AVS P10: Mobile audio and speech codec Committe Draft v1.0,ā€ AVS beijing Ad-hoc Meeting, Beijing, China (July 2008)

    Google ScholarĀ 

  3. Jelassi, S., Rubino, G., Melvin, H., Youssef, H., Pujolle, G.: Quality of experience of VoIP service: A survey of assessment approaches and open issues. IEEE Communications Surveys & TutorialsĀ 14(2), 491ā€“513 (2012)

    ArticleĀ  Google ScholarĀ 

  4. Rec, I.G.: 107-The E Model, a computational model for use in transmission planning. International Telecommunication UnionĀ 8, 20ā€“21 (2003)

    Google ScholarĀ 

  5. Cole, R.G., Rosenbluth, J.H.: Voice over IP performance monitoring. ACM SIGCOMM Computer Communication ReviewĀ 31(2), 9ā€“24 (2001)

    ArticleĀ  Google ScholarĀ 

  6. Sun, L., Ifeachor, E.: New models for perceived voice quality prediction and their applications in playout buffer optimization for VoIP networks. In: 2004 IEEE International Conference on Communications, vol.Ā 3, pp. 1478ā€“1483. IEEE (2004)

    Google ScholarĀ 

  7. Jelassi, S., Youssef, H., Hoene, C., et al.: Voicing-aware parametric speech quality models over VoIP networks. In: Global Information Infrastructure Symposium, GIIS 2009, pp. 1ā€“8. IEEE (2009)

    Google ScholarĀ 

  8. Hoene, C.: Internet telephony over wireless links. PhD, Technical University of Berlin, TKN (2005)

    Google ScholarĀ 

  9. Graubner, M., Mogre, P.S., Steinmetz, R., et al.: A new QoE model and evaluation method for broadcast audio contribution over IP. In: Proceedings of the 20th International Workshop on Network and Operating Systems Support for Digital Audio and Video, pp. 57ā€“62. ACM (2010)

    Google ScholarĀ 

  10. Li, Z., Wang, J.C., Cai, J., et al.: Non-reference audio quality assessment for online live music recordings. In: Proceedings of the 21st ACM International Conference on Multimedia, pp. 63ā€“72. ACM (2013)

    Google ScholarĀ 

  11. 3GPP TS 26.290: Extended Adaptive Multi-Rate-Wideband (AMR-WB+) codecs(Release 10) (April 2011)

    Google ScholarĀ 

  12. Hu, Y., Loizou, P.C.: Evaluation of objective quality measures for speech enhancement. IEEE Transactions on Audio, Speech, and Language ProcessingĀ 16(1), 229ā€“238 (2008)

    ArticleĀ  Google ScholarĀ 

  13. Cherif, W., et al.: A_PSQA: Efficient real-time video streaming QoE tool in a future media internet context. In: 2011 IEEE International Conference on Multimedia and Expo (ICME). IEEE (2011)

    Google ScholarĀ 

  14. Cherif, W., et al.: A_PSQA: PESQ-like non-intrusive tool for QoE prediction in VoIP services. In: 2012 IEEE International Conference on Communications (ICC). IEEE (2012)

    Google ScholarĀ 

  15. Yuhong, Y., et al.: A new mobile audio quality assessment using Jitter Distortion Measure approach. In: 2013 Fifth International Workshop on Quality of Multimedia Experience (QoMEX). IEEE (2013)

    Google ScholarĀ 

  16. Hall, M., et al.: The WEKA data mining software: an update. ACM SIGKDD Explorations NewsletterĀ 11(1), 10ā€“18 (2009)

    ArticleĀ  Google ScholarĀ 

  17. Yajnik, M., et al.: Measurement and modelling of the temporal dependence in packet loss. In: Proceedings of the Eighteenth Annual Joint Conference of the IEEE Computer and Communications Societies, INFOCOM 1999, vol.Ā 1. IEEE (1999)

    Google ScholarĀ 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

Ā© 2015 Springer International Publishing Switzerland

About this paper

Cite this paper

Xie, S. et al. (2015). Signal-Aware Parametric Quality Model forĀ Audio and Speech over IP Networks. In: He, X., Luo, S., Tao, D., Xu, C., Yang, J., Hasan, M.A. (eds) MultiMedia Modeling. MMM 2015. Lecture Notes in Computer Science, vol 8935. Springer, Cham. https://doi.org/10.1007/978-3-319-14445-0_42

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-14445-0_42

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-14444-3

  • Online ISBN: 978-3-319-14445-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics