DocumentCode
1020718
Title
Encoder reverberations in adaptive predictive coding
Author
Mills, James D. ; Rohrs, Charles E. ; Magill, Robert B.
Author_Institution
Tellabs Res. Center, Mishawaka, IN, USA
Volume
2
Issue
1
fYear
1994
Firstpage
18
Lastpage
23
Abstract
In the past, the nonlinear effects of quantization in differential speech coders either were modeled as additive white Gaussian noise or were ignored in analysis and quantified experimentally. Describing functions are used to model the nonlinear quantizer effects of coarsely quantized difference signals found primarily in adaptive predictive coding (APC) systems. The analysis predicts marginal instabilities in APC encoders. The marginal instabilities result in ringing distortions in the reconstructed signal which, in the past, may have been attributed to pitch and spectral predictor mismatches. Adaptive order prediction is introduced, analyzed, and offered as a method for increasing the robustness of APC encoders.
Keywords
describing functions; filtering and prediction theory; reverberation; speech coding; APC encoders; adaptive order prediction; adaptive predictive coding; coarsely quantized difference signals; describing functions; differential speech coders; encoder reverberations; marginal instabilities; nonlinear quantization effects; ringing distortions; robustness; Decoding; Delta modulation; Milling machines; Nonlinear distortion; Predictive coding; Predictive models; Quantization; Reverberation; Robustness; Speech analysis;
fLanguage
English
Journal_Title
Speech and Audio Processing, IEEE Transactions on
Publisher
ieee
ISSN
1063-6676
Type
jour
DOI
10.1109/89.260330
Filename
260330
Link To Document