STARKEY LABORATORIES, INC. (20240348994). NEURAL NETWORK-DRIVEN FEEDBACK CANCELLATION simplified abstract
Contents
- 1 NEURAL NETWORK-DRIVEN FEEDBACK CANCELLATION
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 NEURAL NETWORK-DRIVEN FEEDBACK CANCELLATION - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Key Features and Innovation
- 1.6 Potential Applications
- 1.7 Problems Solved
- 1.8 Benefits
- 1.9 Commercial Applications
- 1.10 Questions about Neural Network-Driven Feedback Cancellation
- 1.11 Original Abstract Submitted
NEURAL NETWORK-DRIVEN FEEDBACK CANCELLATION
Organization Name
Inventor(s)
Kelly Fitz of Eden Prairie MN (US)
Carlos Renato Calcada Nakagawa of Eden Prairie MN (US)
Tao Zhang of Eden Prairie MN (US)
NEURAL NETWORK-DRIVEN FEEDBACK CANCELLATION - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240348994 titled 'NEURAL NETWORK-DRIVEN FEEDBACK CANCELLATION
Simplified Explanation
The patent application describes a method for using neural networks to cancel feedback in hearing assistance devices by processing audio signals to identify and predict target outputs.
- Neural network-driven feedback cancellation for hearing assistance devices
- Method involves signal processing in a hearing assistance device to mitigate entrainment
- Neural network processing to identify acoustic features and predict target outputs
- Trained neural network used to control acoustic feedback cancellation
Key Features and Innovation
- Utilizes neural networks to cancel feedback in hearing assistance devices
- Processes audio signals to identify acoustic features and predict target outputs
- Mitigates entrainment in the input signal
- Trained neural network controls acoustic feedback cancellation
- Improves the performance of hearing assistance devices
Potential Applications
- Hearing aids
- Cochlear implants
- Assistive listening devices
- Communication devices for the hearing impaired
Problems Solved
- Feedback interference in hearing assistance devices
- Entrainment issues in audio signals
- Improved signal processing for better performance
Benefits
- Enhanced sound quality for users
- Reduction of feedback noise
- Improved user experience with hearing assistance devices
Commercial Applications
- "Neural Network-Driven Feedback Cancellation for Hearing Assistance Devices: Market Trends and Opportunities"
- Potential applications in the healthcare industry
- Integration into existing hearing aid technologies
Questions about Neural Network-Driven Feedback Cancellation
How does neural network processing improve feedback cancellation in hearing assistance devices?
Neural network processing helps identify acoustic features and predict target outputs, allowing for more accurate control of feedback cancellation.
What are the potential challenges in implementing neural network-driven feedback cancellation in hearing assistance devices?
Challenges may include training the neural network effectively, optimizing performance for different audio environments, and ensuring compatibility with existing device hardware.
Original Abstract Submitted
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.
