Computer Architecture and Parallel Processing
Computer Architecture and Parallel Processing
Robust and efficient quantization of speech LSP parameters using structured vector quantizers
ICASSP '91 Proceedings of the Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference
Methods of improving vector-scalar quantization of LPC coefficients
ICASSP '91 Proceedings of the Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference
Efficient vector quantization of LPC parameters at 24 bits/frame
ICASSP '91 Proceedings of the Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference
Low bit-rate quantization of LSP parameters using two-dimensional differential coding
ICASSP'92 Proceedings of the 1992 IEEE international conference on Acoustics, speech and signal processing - Volume 1
Signal Processing
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It is essential that in low bit rate speech coding systems. codec parameters are quantized with a minimal number of bits without a corresponding reduction in the quality of the decoded signal. In an effort to increase coding efficiency, a new and general methodology for the quantization of codec parameters, called Long History Quantization (LHQ), has recently been proposed. LHQ, when applied in conjunction with scalar quantization for the coding of LSP coefficients in a CELP system, offers "transparent" quantization at an average bit rate of 25 bits per frame. This paper presents certain improvements to the above LHQ-Scalar quantization scheme, which further reduce the average LSP bit rate to about 22 bits per frame. In addition, a new LHQ-Vector quantization scheme is proposed which allows the transparent quantization of LPC coefficients with only 19 bits per analysis frame.