Backward gain adaptation method in code excited linear predictio

Patent

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

G10L 902

Patent

active

053135547

ABSTRACT:
An exemplary CELP coder where gain adaptation is performed using previous gain values in conjunction with an entry in a table comprising the logarithms of the root-mean-squared values of the codebook vectors, to predict the next gain value. Not only is this method less complex because the table entries are determined off-line, but in addition the use of a table at both the encoder and the decoder allows fixed-point/floating-point interoperability requirements to be met.

REFERENCES:
patent: 4963034 (1990-10-01), Cuperman
patent: 4982428 (1990-02-01), Agazzi
patent: 5187745 (1993-02-01), Yip et al.
Dymarski P., et al., "Optimal and suboptimal algorithms for selecting the excitation in linear predictive coders", ICASSP 90, vol. 1, pp. 485-488, IEEE, 1990.
J. Chen et al., "A Fixed-Point 16 Kb/s LD-CELP Algorithm", ICASSP 90 Proceedings, 1990 International Conference on Acoustics, Speech, and Signal Processing, Apr. 3-6, 1990, pp. 21-24.
J. Chen, "High-Quality 16 Kb/s Speech Coding with a One-Way Delay Less Than 2 ms", ICASSP 91 Proceedings, 1991 International Conference on Acoustics, Speech, and Signal Processing, May 14-17, 1991, pp. 453-456.
CCITT Draft Recommendation G.72x, Coding of Speech at 16 kbit/s Using Low-Delay Code Excited Linear Prediction (LD-CELP), pp. 1-30, Nov. 1991, Study Group XV.

LandOfFree

Say what you really think

Search LandOfFree.com for the USA inventors and patents. Rate them and share your experience with other people.

Rating

Backward gain adaptation method in code excited linear predictio does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Backward gain adaptation method in code excited linear predictio, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Backward gain adaptation method in code excited linear predictio will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFUS-PAI-O-883777

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.