Title :
Predictive entropy coding for speech analysis
Author :
Hrvatin, S.E. ; Mark, J.W.
Author_Institution :
University of Waterloo, Department of Electrical Engineering, Waterloo, Canada
fDate :
8/1/1984 12:00:00 AM
Abstract :
Entropy coding using codes with a simple structure is used in connection with predictive coding to reduce the transmission rate. The predictive coder uses a quantiser with a large number of levels to minimise the effects of slope overload. An adaptive quantising scheme is used to maintain system operation at a point that yields a minimum redundancy. Experimental results on speech coding show that the adaptive predictive entropy coding scheme achieves a good signal-to-noise ratio (SNR) versus rate performance. At a 2-bits-per-sample (12.8 kbit/sec)rate, a segmental SNR of 14 dB is achieved; at 3 bits-per-sample (19.2 kbit/sec), the segmental SNR is 20 dB.
Keywords :
encoding; speech analysis and processing; SNR; adaptive predictive entropy coding; adaptive quantisation; predictive coder; predictive coding; quantiser; signal-to-noise ratio; slope overload; speech analysis; speech coding; transmission rate;
Journal_Title :
Communications, Radar and Signal Processing, IEE Proceedings F
DOI :
10.1049/ip-f-1:19840080