Joint source and channel trellis coding of line spectrum pair parameters

Abstract An innovative method of coding Line Spectrum Pair (LSP) parameters for transmission over noisy channels is presented. Typically, low bit-rate speech coders use these parameters to convey perceptually important spectral information. Thus it is necessary that these parameters are not only efficiently quantized but preserved during transmission. The scheme uses a joint source and channel coding technique applied to a concatenated trellis structure. Operating as a source coder, the system encodes below the 1 dB spectral distortion limit. It is shown that by modifying the encoder cost function to include the expected channel distortion, the code exhibits improved robustness to channel errors. This is accomplished with minimal increase in complexity and without increase in bit-rate. It is noted that the scheme performs well over a wide range of channel bit error rates and compares favourably with a standard scalar LSP quantizer tandemed with a channel coder both in terms of bit-rate and channel noise immunity.

[1]  Frank K. Soong,et al.  Optimal quantization of LSP parameters using delayed decisions , 1990, International Conference on Acoustics, Speech, and Signal Processing.

[2]  Biing-Hwang Juang,et al.  Line spectrum pair (LSP) and speech data compression , 1984, ICASSP.

[3]  Rajiv Laroia,et al.  Efficient encoding of speech LSP parameters using the discrete cosine transformation , 1989, International Conference on Acoustics, Speech, and Signal Processing,.

[4]  Jr. G. Forney,et al.  The viterbi algorithm , 1973 .

[5]  Robert M. Gray,et al.  Joint source and noisy channel trellis encoding , 1981, IEEE Trans. Inf. Theory.

[6]  Robert M. Gray,et al.  The Design of Trellis Waveform Coders , 1982, IEEE Trans. Commun..

[7]  P. Wintz,et al.  Quantizing for Noisy Channels , 1969 .

[8]  C. E. SHANNON,et al.  A mathematical theory of communication , 1948, MOCO.

[9]  Nariman Farvardin,et al.  A study of vector quantization for noisy channels , 1990, IEEE Trans. Inf. Theory.

[10]  Claude E. Shannon,et al.  The mathematical theory of communication , 1950 .

[11]  Kuldip K. Paliwal,et al.  Performance study of stochastic speech coders , 1991, Speech Commun..

[12]  F. Itakura.  Line spectrum representation of linear predictor coefficients of speech signals , 1975 .

[13]  Robert M. Gray,et al.  The design of joint source and channel trellis waveform coders , 1987, IEEE Trans. Inf. Theory.

[14]  Nariman Farvardin,et al.  Quantizer design in LSP speech analysis-synthesis , 1988, IEEE J. Sel. Areas Commun..

[15]  Roar Hagen,et al.  Low bit-rate spectral coding in CELP, a new LSP-method , 1990, International Conference on Acoustics, Speech, and Signal Processing.