ACCURATE FORWARD SNR ESTIMATION BASED ON MMSE SPEECH PROBABILITY PRESENCE

Patent №

US 9,633,673

Granted

2017-04-25

Filed 2016

Owner

CONTINENTAL AUTOMOTIVE SYSTEMS, INC.

Lab

AI components

2

ml · speech

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

15269357

Acoustic noise in an audio signal is reduced by calculating a speech probability presence (SPP) factor using minimum mean square error (MMSE). The SPP factor, which has a value typically ranging between zero and one, is modified or warped responsive to a value obtained from the evaluation of a sigmoid function, the shape of which is determined by a signal-to-noise ratio (SNR), which is obtained by an evaluation of the signal energy and noise energy output from a microphone over time. The shape and aggressiveness of the sigmoid function is determined using an extrinsically-determined SNR, not determined by the MMSE determination. The extrinsically-determined SNR is obtained from a long term history of previously-determined speech presence probabilities and a long term history of previously-determined noise histories.

Machine learningSpeechG10L 21/0232G10L 21/0208G10L 21/0216G10L 25/21G10L 25/84

AI classification

Speech1.00
Machine learning0.77
Natural language0.22
Vision0.01
AI hardware0.01
Evolutionary computation0.00
Knowledge representation0.00
Planning0.00

Ownership

CONTINENTAL AUTOMOTIVE SYSTEMS, INC.

assignment · 399270941

Assignors

LAMY, GUILLAUME, JOSHI, BIJAL

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

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