Quantization of line spectral parameters using a trellis structure
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چکیده
منابع مشابه
Quantization of LSF parameters using a trellis modeling
An efficient Block-based Trellis Quantization (BTQ) scheme is proposed for the quantization of the Line Spectral Frequencies (LSF) in speech coding applications. The scheme is based on the modeling of the LSF intraframe dependencies with a trellis structure. The ordering property and the fact that LSF parameters are bounded within a range is explicitly incorporated in the trellis model. BTQ sea...
متن کاملQuantization of LSF Parameters Using A Trellis Modelling
An efficient Block-based Trellis Quantization (BTQ) scheme is proposed for the quantization of the Line Spectral Frequencies (LSF) in speech coding applications. The scheme is based on the modelling of the LSF intraframe dependencies with a trellis structure. The ordering property and the fact that LSF parameters are bounded within a range is explicitly incorporated in the trellis model. BTQ se...
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Linear Predictive Coding (LPC) parameters are widely used in various speech processing applications for representation of the spectral envelope of speech. Low bit-rate speech coding applications, require accurate quantization of these parameters using as few bits as possible. Line Spectral Frequency (LSF) representation is the most widely accepted representation of LPC parameters for quantizati...
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ETRI Journal, Volume 30, Number 5, October 2008 ABSTRACT⎯In this paper, block constrained trellis coded vector quantization (BC-TCVQ) is presented for quantizing the line spectrum frequency parameters of the wideband speech codec. Both a predictive structure and a safety-net concept are combined into BC-TCVQ to develop the predictive BC-TCVQ. The performance of this quantization is compared wit...
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تاریخ انتشار 2000