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Optimized trellis coded vector quantization of LSF parameters, application to the 4.8kbps FS1016 speech coder

  • Published:2005-09 Issue:9 Volume:85 Page:1675-1694
  • ISSN:0165-1684
  • Container-title:Signal Processing
  • language:en
  • Short-container-title:Signal Processing

Author:

Bouzid Merouane,Djeradi Amar,Boudraa Bachir

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software,Control and Systems Engineering

Reference34 articles.

1. Digital Processing of Speech Signals;Rabiner,1978

2. W.B. Kleijn, K.K. Paliwal (Eds.), Speech Coding and Synthesis, Elsevier Science B.V., Amsterdam, 1995.

3. Efficient vector quantization of LPC parameters at 24 bits/frame;Paliwal;IEEE Trans. Speech Audio Process.,1993

4. Line spectrum representation of linear predictive coefficients of speech signals;Itakura;J Acoust. Soc. Amer.,1975

5. Digital Coding of Waveforms- Principals and Applications to Speech and Video;Jayant,1984

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1. Matrix Quantization and LPC Vocoder Based Linear Predictive for Low-Resource Speech Recognition system;ACM Transactions on Asian and Low-Resource Language Information Processing;2023-02-23

2. Voicing-Based Classified Split Vector Quantizer for Efficient Coding of AMR-WB ISF Parameters;Speech and Computer;2015

3. Robust coding of wideband speech immittance spectral frequencies;Speech Communication;2014-11

4. Robust quantization of LPC parameters for speech communication over noisy channel;2009 Second International Conference on the Applications of Digital Information and Web Technologies;2009-08

5. Quantization software: application of trellis coded scalar/vector quantization;2009 IEEE Symposium on Computers and Communications;2009-07
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