SPEECH CODING EMPLOYING HYBRID LINEAR PREDICTION CODING

Patent №

US 6,606,591

Granted

2003-08-12

Filed 2000

Owner

CONEXANT SYSTEMS, INC.

+1 more

Lab

AI components

2

nlp · speech

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

09548204

A speech coding system that employs hybrid linear prediction coding during extraction of linear prediction coefficients within ITU-Recommendation speech coding standards. The present invention is operable within linear prediction speech coding systems including code-excited linear prediction speech coding systems, and it provides for a substantially improved perceptual quality of reproduced speech signals when compared to conventional speech coding methods that employ the commonly known auto-correlation method that is based on minimizing the linear prediction coding (LPC) prediction error energy. The invention is operable to provide for high perceptual quality of reproduced speech signals having substantial differences of energy in various frequency bands. For example, for speech signals having information dispersed broadly across the frequency spectrum, such as having a significant amount of information at low frequency and a significant amount of information at high frequency, the invention provides a way to maintain a high perceptual quality across the broad frequency range. The invention generates a single set of linear prediction coefficients (LPCs) either directly from the speech signal in certain embodiments of the invention, or alternatively, interveningly through the use of line spectral frequencies (LSFs) that are generated from different sets of linear prediction coefficients (LPCs) generated from the speech signal itself in other embodiments of the invention.

Natural languageSpeechG10L 19/06G10L 19/087G10L 19/26

AI classification

Speech1.00
Natural language0.57
Vision0.42
AI hardware0.02
Machine learning0.01
Planning0.00
Evolutionary computation0.00
Knowledge representation0.00

Ownership

CONEXANT SYSTEMS, INC.

assignment · 107620908

MINDSPEED TECHNOLOGIES, INC.

assignment · 197670104

Assignors

SU, HUAN-YU

On an employer assignment, the assignors are typically the inventors.

From the same owner

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