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Lossless audio CODEC using non-repeated dynamic block encoding

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Abstract

In this paper, a lossless audio codec with dynamic block coding has been proposed. In the present technique, audio signal is compressed by integrating dynamic sampled value segregation and block coding method without losing any information. Novel block encoding method is performed over the generated dynamic bit sequence of sampled values and followed by eliminating repetitions of bit patterns and entropy encoding. Compression quality is justified with considering decoded audio quality and achieved compression ratio which is compared with existing lossless audio coding benchmarks. The performance measurement of the proposed system comparing with other reference systems is shown considering some crucial qualitative parameters.

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Data availability

Data sharing not applicable to this article as no datasets were generated or analyzed during the current study.

Abbreviations

RNN:

Recurrent neural network

PNSR:

Peak signal-to-noise ratio

MPEG:

Moving picture experts group

AAC:

Advanced audio coding

CNN:

Convolutional neural network

MOS:

Mean opinion score

BER:

Bit error rate

References

  1. Holtz K, Holtz E (1994) Lossless data compression techniques. Proceedings of WESCON’94. IEEE, New Jersey, pp 392–397

    Google Scholar 

  2. Jayasankar U, Thirumal V, Ponnurangam D (2021) A survey on data compres- sion techniques: from the perspective of data quality, coding schemes, data type and applications. J King Saud Univ-Comput Inform Sci 33(2):119–140

    Google Scholar 

  3. Huffman DA (1952) A method for the construction of minimum-redundancy codes. Proc IRE 40(9):1098–1101

    Article  Google Scholar 

  4. Reznik YA (2004) Coding of prediction residual in mpeg-4 standard for lossless audio coding (mpeg-4 als). 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing, vol 3. IEEE, New Jersey, p 1024

    Chapter  Google Scholar 

  5. Huang H, Franti P, Huang D, Rahardja S (2008) Cascaded rls–lms prediction in mpeg-4 lossless audio coding. IEEE Trans Audio Speech Lang Process 16(3):554–562

    Article  Google Scholar 

  6. Yu R, Geiger R, Rahardja S, Herre J, Lin X, Huang H (2004) Mpeg-4 scalable to lossless audio coding. In: Proc. 117th AES Conv, pp 1–14

  7. Ghido F, Tabus I (2012) Sparse modeling for lossless audio compression. IEEE Trans Audio Speech Lang Process 21(1):14–28

    Article  Google Scholar 

  8. Gunawan TS, Zain MKM, Muin FA, Kartiwi M (2017) Investigation of lossless audio compression using IEEE 1857.2 advanced audio coding. Indones J Electr Eng Comput Sci 6(2):422–430

    Google Scholar 

  9. Tsai T-H, Tsai F-L (2019) Efficient lossless compression scheme for multi-channel ecg signal. International conference on acoustics, speech and signal processing (ICASSP). IEEE, New Jersey, pp 1289–1292

    Google Scholar 

  10. Hoogeboom E, Peters J, Van Den Berg R, Welling M. (2019) Integer discrete flows and lossless compression. Adv Neural Inform Process Syst 32

  11. Mondal UK, Debnath A (2021) Developing a dynamic cluster quantization based lossless audio compression (dcqlac). Multimed Tools Appl 80(6):8257–8280

    Article  Google Scholar 

  12. Debnath A, Mondal UK (2020) Achieving lossless audio encoder through inte- grated approaches of wavelet transform, quantization and huffman encoding (laeiwqh). In: 2020 International Conference on Computer Science, Engineering and Applications (ICCSEA), pp 1–5

  13. Mondal UK, Debnath A, Mandal J (2020) Deep learning-based lossless audio encoder (dllae). Intelligent computing: image processing based applications. Springer, Cham, pp 91–101

    Chapter  Google Scholar 

  14. Rim DN, Jang I, Choi H (2021) Deep neural networks and end-to-end learning for audio compression. J KIISE. https://doi.org/10.5626/JOK.2021.48.8.940

    Article  Google Scholar 

  15. Mondal UK, Debnath A (2022) Designing a novel lossless audio compression tech- nique with the help of optimized graph traversal (lacogt). Multimedia Tools Appl 81(28):40385–40411

    Article  Google Scholar 

  16. Hajirahimi Z, Khashei M, Hamadani AZ (2023) Principal component-based hybrid model for time series forecasting. Int J Inf Technol. https://doi.org/10.1007/s41870-023-01343-2

    Article  Google Scholar 

  17. Nafis MT, Biswas R (2019) A secure technique for unstructured big data using clustering method. Int J Inf Technol. https://doi.org/10.1007/s41870-019-00278-x(2019)

    Article  Google Scholar 

  18. Chaurasiya R, Ganotra D (2023) Deep dilated cnn based image denoising. Int J Inf Technol 15(1):137–148

    Google Scholar 

  19. Guerra K, Casavilca J (2023) A low-rate encoder for image transmission using lora communication modules. Int J Inf Tecnol 15(2):1069–1079

    Article  Google Scholar 

  20. Gupta S, Yadav AK, Yadav D, Shukla B (2022) A scalable approach for index compression using wavelet tree and lzw. Int J Inf Tecnol 14(4):2191–2204

    Article  Google Scholar 

  21. https://monkeysaudio.com/index.html. Accessed: 15 Sept 2023

  22. http://www.wavpack.com. Accessed 15 Sept 2023

  23. Coalson J. Xiph. Org Foundation, “FLAC: Free lossless audio codec”. https://xiph.org/flac/index.html. Accessed 15 Sept 2023

  24. Nowak N, Zabierowski W, (2011) Methods of sound data compression—comparison of different standards. In: The Experience of Designing and Application of CAD Systems in Microelectronics (CADSM), pp 431–434

  25. Mineo T, Shouno H (2022) A lossless audio codec based on hierarchical residual prediction. 2022 Asia-Pacific signal and information processing association annual summit and conference (APSIPA ASC). IEEE, New Jersey, pp 123–130

    Chapter  Google Scholar 

  26. https://www.freac.org/downloads-mainmenu-33/350-freac-114. Accessed 21 Sept 2023

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Author information

Authors and Affiliations

  1. Computer Science, Vidyasagar University, Midnapore, West Bengal, 721102, India

    Asish Debnath & Uttam Kr. Mondal

  2. Tata Consultancy Services Ltd, Newtown, Kolkata, West Bengal, 700156, India

    Asish Debnath

Authors
  1. Asish Debnath
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  2. Uttam Kr. Mondal
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The authors confirm the responsibility for the following: study conception, data collection, analysis and interpretation of results and manuscript preparation.

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Correspondence to Uttam Kr. Mondal.

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Debnath, A., Mondal, U.K. Lossless audio CODEC using non-repeated dynamic block encoding. Int. j. inf. tecnol. (2024). https://doi.org/10.1007/s41870-024-01785-2

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