Title :
Conditional entropy encoding of log-PCM speech
Author :
Gharavi, Hamid ; Steele, R.
Author_Institution :
AT&T Bell Laboratories, Holmdel, USA
Abstract :
The conditional dependence between the current and previously quantised samples in 64 kbit/s ¿-law PCM speech is exploited to noiselessly reduce the average transmitted bit rate. From the conditional probabilities, the conditional entropy and average Huffman code word lengths were computed. The average data rate reduction for the first-order noiseless encoder was found to be 12 kbit/s.
Keywords :
analogue-digital conversion; data reduction; encoding; pulse-code modulation; speech analysis and processing; 64 kbit/s; average Huffman code word lengths; average data rate reduction; conditional entropy; first-order noiseless encoder; log-PCM speech; logarithmic pulse code modulation; probabilities; quantised samples;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:19850337
