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Multi-Stage Encoding Scheme for Multiple Audio Objects Using Compressed Sensing

Cybernetics and Information Technologies
Volume 15 (2015): Issue 6 (December 2015)
By:
Open Access
|Dec 2015

References

  1. 1. BS.775 Int. Telecommunication Union. Multichannel Stereophonic Sound System with and Without Accompanying Picture. 2006.
    Search in Google Scholar
  2. 2. Hamasaki, K. A 22.2 Multichannel Sound System for Ultrahigh Definition TV (UHDTV).– SMPTE Motion Imaging Journal, Vol. 117, 2008, No 3, pp. 40-49.10.5594/J15119
    Search in Google Scholar
  3. 3. Smolic, A. An Overview of 3rd Video and Free Viewpoint Video. – In: Proc. of 13th International Conference on Computer Analysis of Images and Patterns, Springer, Münster, Germany, 2009, pp.1-8.10.1007/978-3-642-03767-2_1
    Search in Google Scholar
  4. 4. Tanimoto, M. Overview of Free Viewpoint Television. – Signal Processing: Image Communication, Vol. 21, 2006, No 6, pp. 454-461.10.1016/j.image.2006.03.009
    Search in Google Scholar
  5. 5. Dolby Laboratories. Dolby ATMOS Cinema Specifications. 2014. http://www.dolby.com/us/en/technologies/dolbyatm-os/dolby-atmos-specifications.pdf
    Search in Google Scholar
  6. 6. Herre, J., H. Purnhagen, J. Koppens, O. Hellmuth, J. Engdegård, J. Hilper, L. Villemoes, L. Terentiv, C. Falch, A. Hölzer, M. L. Valero, B. Resch, H. Mundt, H. O. Oh. MPEG Spatial Audio Object Coding – The ISO/MPEG Standard for Efficient Coding of Interactive Audio Scenes. – Journal of the Audio Engineering Society, Vol. 60, 2012, No 9, pp. 655-673.
    Search in Google Scholar
  7. 7. Liutkus, A., S. Gorlow, N. Sturmel, S. Zhang, L. Girin, R. Badeau, L. Daudet, S. Marchand, G. Richard. Informed Audio Source Separation: A Comparative Study. – In: Proc. of 20th European Signal Processing Conference, EURASIP’12, Bucharest, Romania, 2012, pp. 2397-2401.
    Search in Google Scholar
  8. 8. Ozerov, A., A. Liutkus, R. Badeau, G. Richard. Coding-Based Informed Source Separation: Nonnegative Tensor Factorization Approach. – IEEE Transactions on Audio, Speech and Language Processing, Vol. 21, 2013, No 8, pp. 1699-1712.10.1109/TASL.2013.2260153
    Search in Google Scholar
  9. 9. Zheng, X., C. Ritz, J. T. Xi. A Psychoacoustic-Based Analysis-Bysynthesis Scheme for Jointly Encoding Multiple Audio Objects into Independent Mixtures. – In: Proc. of 38th IEEE International Conference on Acoustics, Speech, and Signal Processing, IEEE, Vancouver, Canada, 2013, pp. 281-285.10.1109/ICASSP.2013.6637653
    Search in Google Scholar
  10. 10. Jia, M., Z. Yang, C. Bao, X. Zheng, C. Ritz. Encoding Multiple Audio Objects Using Intra-Object Sparsity. – IEEE/ACM Transactions on Audio, Speech and Language Processing, Vol. 23, 2015, No 6, pp. 1082-1095.10.1109/TASLP.2015.2419980
    Search in Google Scholar
  11. 11. Jia, M., C. Bao, X. Liu. An Embedded Speech and Audio Coding Method Based on Bit-Plane Coding and SQVH. – In: Proc. of IEEE International Symposium on Signal Processing and Information Technology, IEEE, Ajman, UAE, 2009, pp. 43-48.10.1109/ISSPIT.2009.5407486
    Search in Google Scholar
  12. 12. Candes, E. J., M. B. Wakin. An Introduction to Compressive Sampling. – IEEE Signal Processing Magazine, Vol. 25, 2008, No 2, pp. 21-30.10.1109/MSP.2007.914731
    Search in Google Scholar
  13. 13. Candes, E. J., J. K. Romberg, T. Tao. Stable Signal Recovery from Incomplete and Inaccurate Measurements. – Communications on Pure and Applied Mathematics, Vol. 59, 2006, No 8, pp. 1207-1223.10.1002/cpa.20124
    Search in Google Scholar
  14. 14. Sohn, J., N. S. Kim, W. Sung. A Statistical Model-Based Voice Activity Detection. – IEEE Signal Processing Letters, Vol. 6, 1999, No 1, pp. 1-3.10.1109/97.736233
    Search in Google Scholar
  15. 15. QUASI Database – a Musical Audio Signal Database for Source Separation. http://www.tsi.telecomparistech.fr/aao/en/2012/03/12/quasi/
    Search in Google Scholar
  16. 16. Huber, R., B. Kollmeier. PEMO-Q: A New Method for Objective Audio Quality Assessment Using a Model of Auditory Perception. – IEEE Transactions on Audio, Speech and Language Processing, Vol. 14, 2006, No 6, pp. 1902-1911.10.1109/TASL.2006.883259
    Search in Google Scholar
  17. 17. Bosi, M., K. Brandenburg, S. Quackenbush, L. Fielder, K. Akagiri, H. Fuchs, M. Dietz. ISO/IEC MPEG-2 Advanced Audio Coding. – Journal of the Audio Engineering Society, Vol. 45, 1997, No 10, pp. 789-814.
    Search in Google Scholar
  18. 18. Golomb, S. Run-Length Encodings (Corresp.). – IEEE Transactions on Information Theory, Vol. 12, 1966, No 3, pp. 399-401.10.1109/TIT.1966.1053907
    Search in Google Scholar
  19. 19. Rice, R., J. Plaunt. Adaptive Variable – Length Coding for Efficient Compression of Spacecraft Television Data. – IEEE Transactions on Communication Technology, Vol. 19, 1971, No 6, pp. 889-897.10.1109/TCOM.1971.1090789
    Search in Google Scholar
DOI: https://doi.org/10.1515/cait-2015-0074 | Journal eISSN: 1314-4081 | Journal ISSN: 1311-9702
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Language: English
Page range: 135 - 146
Published on: Dec 30, 2015
Published by: Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
In partnership with: Paradigm Publishing Services
Publication frequency: 4 times per year
Keywords:
Audio object coding,
sparsity,
compressed sensing,
multi-stage encoding
Related subjects:
Computer sciences,
Information technology

© 2015 Ziyu Yang, Maoshen Jia, Wenbei Wang, Jiaming Zhang, published by Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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