DocumentCode :
2602384
Title :
Quantization noise modeling in low-delay speech coding
Author :
Andersen, Sgren Vang ; Jensen, Soren Holdt ; Hansen, Egon
Author_Institution :
Aalborg Univ., Denmark
fYear :
1997
fDate :
7-10 Sep 1997
Firstpage :
65
Lastpage :
66
Abstract :
We present a low-delay vector predictive transform coder with quantization noise modeling. The coder uses overlapped transform coding and a Kalman filter with a backward estimated LPC model of the speech signal combined with an additive noise model of the quantization noise. The noise model is driven by the vector quantizer. Each quantizer cell has its own error correlation matrix, which is kept in a table and addressed using the quantizer index. Simulation results indicate that overlapped transform coding combined with noise modeling can improve the quality of the decoded speech signal
Keywords :
Kalman filters; coding errors; correlation methods; decoding; delays; filtering theory; linear predictive coding; matrix algebra; noise; speech coding; speech intelligibility; speech processing; speech synthesis; transform coding; transforms; vector quantisation; Kalman filter; VQ; additive noise model; backward estimated LPC model; decoded speech signal quality; error correlation matrix; low-delay speech coding; overlapped transform coding; predictive transform coder; quantization noise modeling; quantizer index; simulation results; speech signal; synthesis filters; vector quantizer; Decoding; Delay estimation; Kalman filters; Linear predictive coding; Predictive models; Quantization; Speech coding; Speech enhancement; Transform coding; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Speech Coding For Telecommunications Proceeding, 1997, 1997 IEEE Workshop on
Conference_Location :
Pocono Manor, PA
Print_ISBN :
0-7803-4073-6
Type :
conf
DOI :
10.1109/SCFT.1997.623898
Filename :
623898
Link To Document :
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