This paper presents the quantization schemes for the magnitude spectra of the slowly evolving waveform (SEW) and rapidly evolving waveform (REW) components in a 2 kb/s waveform interpolation (WI) coder. The SEW magnitude spectrum is quantized using a DCT-based predictive vector quantization approach. The REW magnitude spectrum is quantized using a matrix quantizer based on the combined dimension conversion method. The objective measures and subjective results indicate that the proposed quantization schemes are effective in achieving good quantization accuracy.
Cite as: Li, J., Bao, C. (2004) Quantization of Sew and Rew Magnitude for 2 Kb/S Waveform Interpolation Speech Coding. Proc. International Symposium on Chinese Spoken Language Processing, 141-144
@inproceedings{li04b_iscslp,
author={Jing Li and Changchun Bao},
title={{Quantization of Sew and Rew Magnitude for 2 Kb/S Waveform Interpolation Speech Coding}},
year=2004,
booktitle={Proc. International Symposium on Chinese Spoken Language Processing},
pages={141--144}
}