Invention Grant
- Patent Title: Neural network-driven feedback cancellation
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Application No.: US17249581Application Date: 2021-03-05
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Publication No.: US11606650B2Publication Date: 2023-03-14
- Inventor: Kelly Fitz , Carlos Renato Calcada Nakagawa , Tao Zhang
- Applicant: Starkey Laboratories, Inc.
- Applicant Address: US MN Eden Prairie
- Assignee: Starkey Laboratories, Inc.
- Current Assignee: Starkey Laboratories, Inc.
- Current Assignee Address: US MN Eden Prairie
- Agency: Schwegman Lundberg & Woessner, P.A.
- Main IPC: H04R25/00
- IPC: H04R25/00 ; H04R3/00

Abstract:
Disclosed herein, among other things, are apparatus and methods for neural network-driven feedback cancellation for hearing assistance devices. Various embodiments include a method of signal processing an input signal in a hearing assistance device to mitigate entrainment, the hearing assistance device including a receiver and a microphone. The method includes performing neural network processing to identify acoustic features in a plurality of audio signals and predict target outputs for the plurality of audio signals, and using the trained neural network to control acoustic feedback cancellation of the input signal.
Public/Granted literature
- US20210195345A1 NEURAL NETWORK-DRIVEN FEEDBACK CANCELLATION Public/Granted day:2021-06-24
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