Paper Info
Title
Quantization Of Sew And Rew Magnitude For 2 Kb/S Waveform Interpolation Speech Coding
Abstract
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.
Year
Venue
Keywords
2004
2004 INTERNATIONAL SYMPOSIUM ON CHINESE SPOKEN LANGUAGE PROCESSING, PROCEEDINGS
transform coding,spectrum,speech coding,interpolation
Field
DocType
Citations 
Speech coding,Discrete cosine transform,Waveform,Interpolation,Speech recognition,Vector quantization,Quantization (physics),Harmonic Vector Excitation Coding,Quantization (signal processing),Mathematics
Conference
0
PageRank 
References 
Authors
0.34
2
2
Name
Order
Citations
PageRank
Jing Li1174.27
Changchun Bao213346.05