Reformat the file uncompressed into lossy based on audio compression method using huffman shift coding scheme

Abstract

One form of sound is music that has become a requirement for people in many ways. The impact of technological development and the ability of processing units to process data can be felt in a product we call music, comparable to analog-produced music in the era before the 2000s and in the digital age, there is now a clear distinction of the quality and accuracy of the frequency instruments enjoyed by hearing. Increasing the quality of an Audio data will make the file size increase also applies to image or video data, so it needs a compression for storage problems and real-time access needs. Huffman algorithm can be used for file compression, to reformat from Uncompressed file to Lossy file can use scheme of Huffman Shift Coding algorithm. This research provides a novelty in changing the format of Uncompressed (WAV) to Lossy (Mp3) format to respond to a real-time storage and access issues. In this paper providing changes in the Rate / Distortion Control Process includes Scale Factor, Quantizer and Noiseless, this process will change every symbol that is owned by WAV audio data which is then reconstructed to Mp3 format. From the results of compression obtained differences with the standard Mp3 compression.