Patent US 5,699,482

Patent №

US 5,699,482

Granted

Owner

Lab

AI components

2

speech · hardware

Assignment

None on record

Dataset

AIPD

2023_r1 edition

Application

08438703

A method of encoding a speech signal is provided. This method improves the excitation codebook and search procedure of the conventional Code-Excited Linear Prediction (CELP) speech encoders. This code is based on a sparse algebraic code consisting in particular, but not exclusively, of interleaving N single-pulse permutation codes. The search complexity in finding the best codeword is greatly reduced by bringing the search back to the algebraic code domain thereby allowing the sparsity of the algebraic code to speed up the necessary computations. More precisely, the sparsity of the code enable the use of a very fast procedure based on N-embedded computation loops.

SpeechAI hardwareG10L 19/10G10L 19/12G10L 19/00G10L 25/06G10L 2019/0004G10L 2019/0008G10L 2019/0011

AI classification

Speech0.99
AI hardware0.95
Vision0.41
Natural language0.12
Knowledge representation0.01
Machine learning0.00
Evolutionary computation0.00
Planning0.00
© 2026 NYSGPT2525 LLC