SIGNAL NOISE REDUCTION BY TIME-DOMAIN SPECTRAL SUBTRACTION

Patent №

US 6,507,623

Granted

2003-01-14

Filed 1999

Owner

TELEFONAKTIEBOLAGET LM ERICSSON

Lab

AI components

1

speech

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

09289555

For purposes of noise suppression, spectral subtraction filtering is performed in sample-wise fashion in the time domain using a time-domain representation of a spectral subtraction gain function computed in block-wise fashion in the frequency domain. By continuously performing time-domain filtering on a sample by sample basis, the disclosed methods and apparatus avoid block-processing delays associated with frequency-domain based spectral subtraction systems. Consequently, the disclosed methods and apparatus are particularly well suited for applications requiring very short processing delays. Moreover, since the spectral subtraction gain function is computed in a block-wise fashion in the frequency domain, high quality performance in terms of reduced tonal artifacts and low signal distortion is retained.

AI classification

Speech0.96
Machine learning0.01
Natural language0.00
AI hardware0.00
Evolutionary computation0.00
Vision0.00
Knowledge representation0.00
Planning0.00

Ownership

TELEFONAKTIEBOLAGET LM ERICSSON

assignment · 101180314

Assignors

GUSTAFSSON, HARALD, CLAESSON, INGVAR, NORDHOLM, SVEN

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

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