Compression and Noise Reduction of Audio WAV Files Using Discrete Wavelet Transform and Huffman Coding
| Main Authors: | Lubis, Chairisni, Budidharmawan, Agus, Riyandi, Riyandi |
|---|---|
| Format: | application/pdf eJournal |
| Bahasa: | eng |
| Terbitan: |
Lecturer External Publication
, 2013
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| Online Access: |
http://fti.tarumanagara.ac.id/jurnal/index.php/lep/article/view/112 |
Daftar Isi:
- Compression is used to reduce the required bit size in order to make the audio data in a file smaller. Haar Wavelet transformation is used to rid off noise, while Huffman Coding is used as a compression tool as it changes the values in the data file into unique codes using Huffman Tree and encode. This reduces the size of the file and in effect requires a smaller storage to store the compressed data. A number of tests were done to test the size of the file which were compressed, the quality of the voice after being compressed and restored using Haar Wavelet level 1 and level 2 and using Huffman coding for WAV mono 8 bits file. The results of the tests prove that a combined method of Haar Wavelet level 1 and Huffman Coding with smaller threshold values produce better quality voice however the compressed file sizes are larger than ones if produced with Haar Wavelet level 2 and vice versa.This paper is published in Prosiding International Conference on Information Technology and Applied Mathematics 2012 (ICITAM 2012) Volume 1 No. 1.2012, ISSN : 2301-5403