Higher Compression Rates for GSM 6.10 Standard Using Lossless Compression
DOI:
https://doi.org/10.33977/2106-000-005-001Keywords:
Linear prediction coding, lossless compression, speech compression, source coding, cellular communication.Abstract
This research aims at exploiting the lossless Hamming correction code compression algorithm (HCDC) to reduce the transmission data rate in the GSM 6.10 standard, which holds several similarities with modern adaptive multi-rate codec in coefficients calculations and excitation principles. The compression algorithms depend on the properties of the hamming codes where data bits can be calculated from the parity bits. In this research, we chose parity equals 3 and data bits equals 4. Several iterations were conducted over the compressed frame information to achieve even higher compression rates. The compression rate was implemented over the standard of GSM 6.10, which is a variation Code Exited Linear Prediction coding (CELP). Regarding the data samples selected to conduct the test, two males and two females’ voice file samples at 8khz and quantized on 8-bit resolution were selected. The duration of the files varies from 4 to 6 seconds. Each sample was divided into 20ms frames; each frame was expressed using GSM6.10 with 260 bits of data included Linear perdition coefficients, pitch period, gain, peak magnitude value, grid position, and the sample amplitude. This shows that the 260 bits every 20ms form a data rate of 13kbps. The 260 bits were subjected to HCDC, and the data rate was reduced by 60%, reaching down to 5kbps on average. The results compared to the famous FLAC lossless audio compression, which showed 15% compression only. The research did not consider any quality testing since the compression is lossless. The research used standard ITU libraries to conduct the GSM6.10 data acquisition and open-source platforms for FLAC.
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