<![CDATA[The amount of audio data required in today's world is rapidly expanding, posing a significant problem and challenge in terms of media storage and transfer. RAW audio data compression has grown in popularity due to its ability to lower file size without sacrificing quality. To anticipate the complexity of increasing the lossless audio compression ratio, this study proposes a lossless audio data compression algorithm that theoretically increases its efficiency ratio, thus providing multiple compression that combines linear prediction methods, integer wavelet transforms, and as a back-end process using Huffman code for binary output coefficients. The combined transformation produced employs a new prediction form and coefficient process, which is a novelty and the primary contribution of the coding of this algorithm structure. Based on the test results in many audio categories, the obtained results demonstrate that the proposed algorithm surpasses the performance of previous studies. The compression ratio increased from 2% to 5%. The algorithm discovered in this work is ideal for compressing audio with complex patterns and high irregularity using a quick compression procedure.]]>
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