Higher Compression Rates for Code Excited Linear Prediction Coding Using Lossless Compression

In this paper, we exploit the Hamming Correction Code Compressor (HCDC) Code Excited Linear Prediction frame's Parameter. These parameters includes Linear Prediction Coefficients, Gain and Excitation Bits; which is DCT residual for the signal frame, consist of 40 coefficients, each is quantized using 4 bits. For the signals used in experiments; the total bits in frame were 261 bits with transmission rate 0f 5.22 Kbps. For each samples of data set for males and females; we segmented the samples into short frames of 20ms for processing and performed compression over these frames. We were able to reduce transmission rate by 50% in average using the HCDC. The results were compared to the entropy compression methods (GolombRice) which is implemented in FLAC package, these methods could reduce the data rate by 22% in average. The overall compression performance were calculated with averaging the compression rates for all frames for each sample. HCDC were able to compress on parity=3 only, for other parity values, few blocks were valid, but the overall compression rate for the frames were below 1.