Harmonic and noise coding of LPC residuals with classified vector quantization
- 19 November 2002
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 1, 484-487 vol.1
- https://doi.org/10.1109/icassp.1995.479634
Abstract
An efficient coding scheme for linear predictive coding (LPC) residuals is proposed based on harmonic and noise representation. New features of the scheme include classified vector quantization of the spectral envelope of LPC residuals with a weighted distortion measure. The improvement in performance obtained by classifying codebooks based on a voiced/unvoiced (V/UV) decision is shown. Sequences of the short-term RMS power of the time domain waveforms are also vector quantized and transmitted for unvoiced signals. A fast synthesis algorithm for voiced signals using an FFT is also presented, which reduces the high complexity of the direct sinusoidal synthesis method with interpolated magnitudes and phases. Informal listening tests indicate that, in combination with a known LSP quantization technique, this residual coding scheme provides good communication quality at a total bit rate of less than 2.0 kbps.Keywords
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