Improvements of background sound coding in linear predictive speech coders

A proper coding of background sounds has proven to be important in digital cellular telephone systems. It is therefore of considerable interest to find methods that improve also background sound coding, in particular in medium and low bitrate speech coders. In many coders operating around 8 kbps, one significant effect has been a swirling distortion when coding for example smooth car noise. The paper discusses the origin of this problem, and presents an algorithm that reduces swirling, giving a significant overall perceptual improvement, as shown by field tests in commercial D-AMPS systems in the US. A related new algorithm for error concealment is also presented. This method makes it possible to perceptually remove the effect of fading dips persisting for a few seconds, during nonspeech periods.

[1]  G. G. Stokes "J." , 1890, The New Yale Book of Quotations.

[2]  I. A. Gerson,et al.  Vector sum excited linear prediction (VSELP) speech coding at 8 kbps , 1990, International Conference on Acoustics, Speech, and Signal Processing.

[3]  Juin-Hwey Chen,et al.  Convergence and Numerical Sensitivity of Backward-Adaptive LPC Predictor , 1993, Proceedings., IEEE Workshop on Speech Coding for Telecommunications,.

[4]  Ira Alan Gerson,et al.  Vector Sum Excited Linear Prediction (VSELP) , 1991 .

[5]  Torbjörn Wigren,et al.  Techniques for low bit rate speech coding using long analysis frames , 1993, 1993 IEEE International Conference on Acoustics, Speech, and Signal Processing.

[6]  Yen-Chun Lin,et al.  A Low-Delay CELP Coder for the CCITT 16 kb/s Speech Coding Standard , 1992, IEEE J. Sel. Areas Commun..

[7]  H. Hermansson,et al.  A speech codec for cellular radio at a gross bit rate of 11.4 kb/s , 1991, [Proceedings] ICASSP 91: 1991 International Conference on Acoustics, Speech, and Signal Processing.

[8]  I. Boyd,et al.  The voice activity detector for the Pan-European digital cellular mobile telephone service , 1988, International Conference on Acoustics, Speech, and Signal Processing,.