Invention Grant
- Patent Title: Machine learning based sound field analysis
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Application No.: US15721644Application Date: 2017-09-29
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Publication No.: US10334357B2Publication Date: 2019-06-25
- Inventor: Joshua D. Atkins , Mehrez Souden , Symeon Delikaris-Manias , Peter Raffensperger
- Applicant: Apple Inc.
- Applicant Address: US CA Cupertino
- Assignee: Apple Inc.
- Current Assignee: Apple Inc.
- Current Assignee Address: US CA Cupertino
- Agency: Womble Bond Dickinson (US) LLP
- Main IPC: H04R1/40
- IPC: H04R1/40 ; G06N3/08 ; G06F16/61

Abstract:
Impulse responses of a device are measured. A database of sound files is generated by convolving source signals with the impulse responses of the device. The sound files from the database are transformed into time-frequency domain. One or more sub-band directional features is estimated at each sub-band of the time-frequency domain. A deep neural network (DNN) is trained for each sub-band based on the estimated one or more sub-band directional features and a target directional feature.
Public/Granted literature
- US20190104357A1 MACHINE LEARNING BASED SOUND FIELD ANALYSIS Public/Granted day:2019-04-04
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