LINEAR PREDICTION BASED NOISE SUPPRESSION

Patent №

US 7,065,486

Granted

2006-06-20

Filed 2002

Owner

CONEXANT SYSTEMS, INC.

Lab

AI components

2

ml · speech

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

10122964

Various time-domain noise suppression methods and devices for suppressing a noise signal in a speech signal are provided. For example, a time-domain noise suppression method comprises estimating a plurality of linear prediction coefficients for the speech signal, generating a prediction error estimate based on the plurality of prediction coeficients, generating an estimate of the speech signal based on the plurality of linear prediction coefficients, using a voice activity detector to determine voice activity in the speech signal, updating a plurality of noise parameters based on the prediction error and if the voice activity detector determines no voice activity in the speech signal, generating an estimate of the noise signal based on the plurality of noise parameters, and passing the speech signal through a filter derived from the estimate of the noise signal and the estimate of the speech signal to generate a clean speech signal estimate.

AI classification

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

Ownership

CONEXANT SYSTEMS, INC.

assignment · 128350353

Assignors

THYSSEN, JES

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

From the same owner

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