Invention Grant
- Patent Title: Sound source localization confidence estimation using machine learning
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Application No.: US15657475Application Date: 2017-07-24
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Publication No.: US10649060B2Publication Date: 2020-05-12
- Inventor: Kevin Juho Venalainen
- Applicant: Microsoft Technology Licensing, LLC
- Applicant Address: US WA Redmond
- Assignee: Microsoft Technology Licensing, LLC
- Current Assignee: Microsoft Technology Licensing, LLC
- Current Assignee Address: US WA Redmond
- Agency: Wade IP Law LLC
- Main IPC: G01S3/808
- IPC: G01S3/808 ; G06N3/08 ; H04R3/00 ; G06N20/00

Abstract:
Techniques are described herein that are capable of performing sound source localization (SSL) confidence estimation using machine learning. An SSL operation is performed with regard to a sound to determine an SSL direction estimate and an SSL-based confidence associated with the SSL direction estimate based at least in part on a multi-channel representation of the sound. The SSL direction estimate indicates an estimated direction from which the sound is received. The SSL-based confidence indicates an estimated probability that the sound is received from the estimated direction. The multi-channel representation includes representations of the sound that are detected by respective sensors (e.g., microphones). Additional characteristic(s) of the sound are automatically determined. A machine learning (ML) operation is performed based at least in part on the SSL direction estimate, the SSL-based confidence, and the additional characteristic(s) to determine an ML-based confidence associated with the SSL direction estimate.
Public/Granted literature
- US20190025400A1 SOUND SOURCE LOCALIZATION CONFIDENCE ESTIMATION USING MACHINE LEARNING Public/Granted day:2019-01-24
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