LPAS SPEECH CODER USING VECTOR QUANTIZED, MULTI-CODEBOOK, MULTI-TAP PITCH PREDICTOR AND OPTIMIZED TERNARY SOURCE EXCITATION CODEBOOK DERIVATION

Patent №

US 6,865,530

Granted

2005-03-08

Filed 2001

Owner

DSP SOFTWARE ENGINEERING, INC.

+1 more

Lab

AI components

2

ml · speech

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

09991763

A method and apparatus for reducing the complexity of linear prediction analysis-by-synthesis (LPAS) speech coders. The speech coder includes a multi-tap pitch predictor having various parameters and utilizing an adaptive codebook subdivided into at least a first vector codebook and a second vector codebook. The pitch predictor removes certain redundancies in a subject speech signal and vector quantizes the pitch predictor parameters. Further included is a source excitation (fixed) codebook that indicates pulses in the subject speech signal by deriving corresponding vector values. Serial optimization of the adaptive codebook first and then the fixed codebook produces a low complexity LPAS speech coder of the present invention.

Machine learningSpeechG10L 19/09G10L 19/08G10L 2019/0005G10L 2019/0011

AI classification

Speech1.00
Machine learning0.94
Natural language0.01
AI hardware0.00
Vision0.00
Evolutionary computation0.00
Planning0.00
Knowledge representation0.00

Ownership

DSP SOFTWARE ENGINEERING, INC.

assignment · 319630991

TELLABS OPERATIONS, INC.

assignment · 319640069

Assignors

PATEL, JAYESH S., KOLB, DOUGLAS E.

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

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