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.