Speech Compression Exploiting Hamming Correction Code Compressor
Islam Amro · 2013
In this paper, we exploit the Hamming Correction Code Compressor (HCDC) to compress speech signals of different sampling rates and bit resolutions, the compression is carried out directly to samples in its Pulse Code Modulation (PCM) form, with no prior processing. The resulting compression rate was around 2.3 in average for the tested datasets. The results were compared against the Free Lossless Audio Compression (FLAC) package which utilizes entropy coding methods (Run-Length/Golomb-Rice). The HCDC could achieve slightly better compression rate than FLAC in 8 bit resolutions samples only, while the compression rate in 16 bit resolution was less than FLAC performance and were around 1.4 average. The main advantage of using HCDC in speech compression is its relative simplicity and its lower time and space consumption compared to other lossless speech compression techniques.