Novel Ideas for Lossless Audio Coding

Authors

  • Grzegorz Ulacha Department of Computer Science, West Pomeranian University of Technology
  • Ryszard Stasiński Poznań University of Technology

Abstract

Novel ideas for lossless audio coding analyzed in the paper are linked with forward predictor adaptation, and concern optimization of predictors on the basis of zero-orderentropy and MMAE criterions, and context sound coding. Direct use of the former criterion is linked with exponential growth of optimization procedure, hence, a suboptimal algorithm having polynomial complexity is proposed. It is shown that on average the new types of predictors are better than those obtained by MMSE technique, while two- and three context systems are on average better than a single predictor one. It also appears that 7-bit PARCOR coefficients in the MPEG-4 ALS standard have insufficient precision for some predictor length, and that for very long frames coding results improve with the predictor rank practically in unlimited way.

References

H. Huang, P. Fr¨anti, D. Huang, and S. Rahardja, “Cascaded RLS-LMS prediction in MPEG-4 lossless audio coding,” IEEE Transactions on Audio, Speech and Language Processing, vol. 16, no. 3, pp. 554–562, 2008.

Http://www.losslessaudio.org/.

Http://www.monkeysaudio.com/.

C. D. Giurcaneau, I. Tabus, and J. Astola, “Adaptive context based sequential prediction for lossless audio compression,” Proceedings of IX European Signal Processing Conference EUSIPCO, vol. 4, pp. 2349–2352, 1998.

T. Robinson, “SHORTEN: Simple lossless and near-lossless waveform compression,” Cambridge University, Engineering Department, Cambridge, UK, Tech. Rep. 156, 1994, pp. 1–17.

E. Ravelli, P. Gournay, and R. Lefebvre, “A Two-Stage MLP+NLMS Lossless coder for ste-reo audio,” Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing, vol. 5, pp. 177–180, 2006.

R. Yu, S. Rahardja, C. C. Ko, and H. Huang, “Improving coding efficiency for MPEG-4 Audio Scalable Lossless coding,” Proceedings

of IEEE International Conference on Acoustics, Speech, and Signal Processing, vol. 3, pp. 169–172, 2005.

L. Xiao, L. Gang, L. Zhengguo, C. Thien King, and Y. Ai Ling, “A novel prediction scheme for lossless compression of audio waveform,” in International Conference on Multimedia and Expo, 2001, pp. 197– 201.

R. Yu, C. Ko, S. Rahardja, and X. Lin, “An RLS-LMS algorithm for lossless audio coding,” in Conference Record of the Thirty-Seventh Asilomar Conference onSignals, Systems and Computers, Pacific Grove,

CA USA, 15–18 June 2003, pp. 300–303.

T. Moriya, D. Yang, and T. Liebchen, “Extended Linear Prediction Tools for Lossless Audio Coding,” Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing, vol. 3, pp.

–1011, 2004.

K. Sayood, Introduction to Data Compression, 2nd ed. Morgan Kaufmann Publishers, 2002.

Y. A. Reznik, “Coding of prediction residual in MPEG-4 standard for lossless audio cod-ing (MPEG-4 ALS),” Proceedings of IEEE

International Conference on Acoustics, Speech, and Signal Processing, vol. 3, pp. 1024–1027, 17–21 May 2004, Montreal, Quebec, Canada.

T. Liebchen and Y. A. Reznik, “Improved Forward-Adaptive Prediction for MPEG-4 Audio Lossless Coding,” in 118th AES Convention, Barcelona, Spain, 28–31 May 2005, pp. 1–10.

Http://studwww.ugent.be/ jdebock/lossless audio compression test.htm.

B. Aiazzi, S. Baronti, and L. Alparone, “Near-lossless image compression

by relaxation-labeled prediction,” Signal Processing, vol. 82, no. 11, pp. 1619–1631, 2002.

G. Ulacha and R. Stasinski, “Paths to future image lossless coding,” in Proceedings of 54th International Symposium ELMAR, 2012.

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Published

2014-09-19

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