DocumentCode :
3029365
Title :
Predictive coding with delayed decision.
Author :
Goldberg, Aaron J.
Author_Institution :
GTE Sylvania, Needham, Mass.
Volume :
2
fYear :
1977
fDate :
28246
Firstpage :
405
Lastpage :
408
Abstract :
This paper describes quantitative and qualitative improvements in 6400 b/s adaptive predictive voice coding when delayed decision is used to quantize the residual signal into one bit/ sample. Signal-to-quantizing noise curves as a function of the delay decision length provide quantitative indications of the improvements while listening tests of sentences processed with and without delayed decisions provide measures of qualitative performance. Although delayed decision does provide better waveform tracking and yields better than 2 dB improvements in signal-to-quantizing noise, auditory tests indicate that listeners cannot hear the improvement with decision delays of 5 or less. Consequently, the increased complexity of delayed decision with 6400 b/s adaptive predictive coding does not result in a useable improvement in voice transmission.
Keywords :
Acoustic noise; Data mining; Delay effects; Predictive coding; Propagation delay; Signal processing; Speech analysis; Testing; Viterbi algorithm; Vocoders;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '77.
Type :
conf
DOI :
10.1109/ICASSP.1977.1170322
Filename :
1170322
Link To Document :
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