Perseverance of the Audio Data using RNN Implied Matrix Segmentation based Lossless Encoder

Lossless audio encoding is a crucial technique by reducing the size of an audio file while maintaining privacy and perseverance of the audio data. In the present paper, a lossless audio encoder has been developed using a matrix segmentation method based on recurrent neural networks and the RLE methodology. Experimental data are shown with statistical metrics to assess the quality and efficiency of the current method in comparison to other existing algorithms.