LINEAR PREDICTION BASED CODING SCHEME USING SPECTRAL DOMAIN NOISE SHAPING

Patent №

US 9,595,262

Granted

2017-03-14

Filed 2013

Owner

FRAUNHOFER-GESELLSCHAFT ZUR FOERDERUNG DER ANGEWANDTEN FORSCHUNG E.V.

Lab

AI components

1

speech

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

13966601

An encoding concept which is linear prediction based and uses spectral domain noise shaping is rendered less complex at a comparable coding efficiency in terms of, for example, rate/distortion ratio, by using the spectral decomposition of the audio input signal into a spectrogram having a sequence of spectra for both linear prediction coefficient computation as well as spectral domain shaping based on the linear prediction coefficients. The coding efficiency may remain even if such a lapped transform is used for the spectral decomposition which causes aliasing and necessitates time aliasing cancellation such as critically sampled lapped transforms such as an MDCT.

SpeechG10L 19/00G10K 11/16G10L 19/005G10L 19/012G10L 19/0212G10L 19/022G10L 19/03G10L 19/12+9 more

AI classification

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

Ownership

FRAUNHOFER-GESELLSCHAFT ZUR FOERDERUNG DER ANGEWANDTEN FORSCHUNG E.V.

assignment · 336890905

Assignors

MARKOVIC, GORAN, FUCHS, GUILLAUME, RETTELBACH, NIKOLAUS, HELMRICH, CHRISTIAN, SCHUBERT, BENJAMIN

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

From the same owner

© 2026 NYSGPT2525 LLC