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A Novel Approach to Lossless Audio Compression (LAC)

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Social Transformation – Digital Way (CSI 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 836))

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Abstract

In this paper, an audio compression technique has been made based on Adaptive Differential Pulse-Code Modulation (ADPCM) and Run-Length Coding (RLC). The present technique has been developed in two phases-encoding phase signal and encoding amplitude signal respectively. Sampling the acquired audio succeeded by separating its phase and amplitude components. Phase signal is encoded by its height (magnitude value) and length (time) whereas, the amplitude signal is encoded by ADPCM expanding over different precession levels followed by RLC for generating more compressed pattern. The experimental results along with comparisons with existing techniques represent the compression ratio and efficiency of the present audio compression technique.

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References

  1. Mondal, U.K., Mandal, J.K.: Songs authentication through embedding a self generated secure hidden signal (SAHS). In: Chaki, N., Cortesi, A. (eds.) CISIM 2011. CCIS, vol. 245, pp. 305–313. Springer, Heidelberg (2011). https://doi.org/10.1007/978-3-642-27245-5_36

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  2. http://nptel.ac.in/syllabus/117106090/. (Chap. 1). Accessed 30 Nov 2017

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  5. https://en.wikipedia.org/wiki/Run-length_encoding. Accessed 30 Nov 2017

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Author information

Authors and Affiliations

  1. Department of Computer Science, Vidyasagar University, Midnapur, WB, India

    Uttam Kr. Mondal

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  1. Uttam Kr. Mondal
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Correspondence to Uttam Kr. Mondal .

Editor information

Editors and Affiliations

  1. Kalyani University, Kalyani, India

    Jyotsna Kumar Mandal

  2. University of Calcutta, Kolkata, India

    Devadatta Sinha

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Cite this paper

Mondal, U.K. (2018). A Novel Approach to Lossless Audio Compression (LAC). In: Mandal, J., Sinha, D. (eds) Social Transformation – Digital Way. CSI 2018. Communications in Computer and Information Science, vol 836. Springer, Singapore. https://doi.org/10.1007/978-981-13-1343-1_11

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  • DOI: https://doi.org/10.1007/978-981-13-1343-1_11

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-1342-4

  • Online ISBN: 978-981-13-1343-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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