Hearing Instrument Virtual Assistant LLM Integration
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Solution Overview
Problem
Current hearing instruments lack the ability to provide users with a seamless and efficient personal assistant experience, particularly in assisting with daily tasks and environmental sound management.
Innovation Solution
The integration of a virtual personal assistant powered by artificial intelligence, which receives audio data from hearing instruments and generates output to assist the user, including reminders, environmental sound management, and interaction with external data services.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If hearing instruments integrate advanced audio processing and wireless communication features, then functionality and user assistance capability are improved, but device complexity increases
Solution Approach 1:
The patent divides the hearing instrument system into multiple functional modules: audio processing module, wireless communication module, and control module. Each module handles specific tasks independently, allowing the system to achieve high functionality while managing complexity through modular architecture. The audio processing module handles sound amplification and environmental noise management, while the wireless communication module manages data transmission with external devices.
Solution Approach 2:
The hearing instruments are designed to perform multiple functions beyond basic audio amplification, including environmental sound management, wireless communication with external devices, and integration with virtual assistant systems. This multi-functionality approach allows a single device to serve various purposes, improving versatility without requiring separate dedicated devices for each function.
2Ease of operation
If hearing instruments provide comprehensive personal assistant capabilities, then ease of operation for daily tasks is improved, but use of energy increases
Solution Approach 1:
The virtual assistant system operates in periodic cycles rather than continuously. The hearing instruments periodically check for and process voice commands, retrieve relevant information, and provide responses. This periodic operation mode allows the system to maintain personal assistant capabilities while consuming energy only when needed, rather than continuously, thus improving ease of operation while managing energy consumption.
Solution Approach 2:
The system automatically manages energy consumption by activating full personal assistant functionality only when triggered by user interaction (voice commands or gestures). Between activations, the system enters a low-power state, performing minimal monitoring functions. This self-service approach ensures the device provides comprehensive assistance when needed while automatically conserving energy during idle periods.
Data Source
AI summary
A method comprising: receiving, by a computing system, audio data generated by one or more hearing instruments worn at or near one or more ears of a user; providing, by the computing system, a virtual personal assistant to the user, wherein the virtual personal assistant is configured to generate, based on the audio data, output to assist the user, wherein providing the virtual personal assistant comprises applying, by the computing system, a Large Language Model (LLM) to generate a response, and the output is based on the response; and providing, by the computing system, the output to the one or more hearing instruments, wherein the one or more hearing instruments are configured to generate auditory stimuli based on the output.


