Abstract
Lossless audio compression is a crucial technique for reducing size of audio file with preservation of audio data. In this current approach, a lossless audio encoder has been designed with the help of deep learning technique, followed by entropy encoding to generate compressed encoded data. Nine hidden layers have been considered in the proposed network for the present encoding framework. Experimental results are shown with statistical parameters for comparing the performance and quality of the current approach with other standard algorithms.
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Mondal, U.K., Debnath, A., Mandal, J.K. (2020). Deep Learning-Based Lossless Audio Encoder (DLLAE). In: Mandal, J., Banerjee, S. (eds) Intelligent Computing: Image Processing Based Applications. Advances in Intelligent Systems and Computing, vol 1157. Springer, Singapore. https://doi.org/10.1007/978-981-15-4288-6_6
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DOI: https://doi.org/10.1007/978-981-15-4288-6_6
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