Abstract
Audio file size is relatively larger when compared to files with text format. Large files can cause various obstacles in the form of large space requirements for storage and a long enough time in the shipping process. File compression is one solution that can be done to overcome the problem of large file sizes. Arithmetic coding is one algorithm that can be used to compress audio files. The arithmetic coding algorithm encodes the audio file and changes one row of input symbols with a floating point number and obtains the output of the encoding in the form of a number of values greater than 0 and smaller than 1. The process of compression and decompression of audio files in this study is done against several wave files. Wave files are standard audio file formats developed by Microsoft and IBM that are stored using PCM (Pulse Code Modulation) coding. The wave file compression ratio obtained in this study was 16.12 percent with an average compression process time of 45.89 seconds, while the average decompression time was 0.32 seconds.
Highlights
Audio is a physical phenomenon produced by the vibration of an object in the form of an analog signal with an amplitude that changes continuously with time called frequency [3]
Wave files are standard audio file formats developed by Microsoft and IBM [10]
The wave file is an audio file that is not compressed so that all audio samples are stored all in the storage media in digital form
Summary
Audio (sound) is a physical phenomenon produced by the vibration of an object in the form of an analog signal with an amplitude that changes continuously with time called frequency [3]. Sounds in wave form are stored in digital audio data format in computer system files. There are several formats for storing audio files on computer systems including wave files. The wave file is an audio file that is not compressed so that all audio samples are stored all in the storage media in digital form. The compression encoding process can be carried out for various types of data such as text, image, video, audio and others. After all the characters have an interval, coding is done to produce an output number. Based on this description, this study discusses the process of compression and decompression of audio files using the arithmatic coding method. The results obtained in this study are in the form of a percentage of average file compression performed on several sample wave files
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