Hearing Device Psychoacoustic Model Adaptation
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Solution Overview
Problem
Current hearing device fitting methods are limited by the inability to accurately replicate real-life hearing situations, leading to suboptimal sound output and user satisfaction, as they rely on manual adjustments and data collection only during problem encounters, neglecting positive experiences and non-acoustic factors like user activity and environment.
Innovation Solution
An intelligent hearing device system that uses a psychoacoustic model to learn user preferences by collecting feedback and data on hearing device operation across various environments and activities, adjusting settings in real-time to meet user intentions and enhance sound perception.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If manual adjustments and data collection during problem encounters are used, then device complexity is reduced, but user satisfaction and hearing experience quality deteriorate
Solution Approach 1:
The system continuously collects user feedback through the feedback module, which receives input about hearing experiences and device performance. This feedback is processed by the psychoacoustic model to automatically adjust device parameters, creating a closed-loop system that improves user satisfaction without requiring complex manual fitting procedures. The feedback mechanism enables the device to learn and adapt to user preferences over time.
Solution Approach 2:
The hearing device performs self-adjustment of parameters based on the psychoacoustic model and collected feedback data. The processor automatically modifies device settings without requiring manual intervention from audiologists or users, enabling the device to optimize its own performance based on real-world usage conditions and user preferences.
2Reliability
If psychoacoustic model with continuous data collection is implemented, then user satisfaction improves, but device complexity and data processing requirements increase
Solution Approach 1:
The psychoacoustic model is pre-configured with initial parameters and rules for processing feedback data. The model structure and data collection framework are established in advance, allowing the system to immediately begin learning and adapting without requiring complex real-time decision-making architecture. This preliminary setup simplifies the overall system complexity while enabling continuous improvement of user satisfaction.
3Use of energy by moving object
If data collection is limited to problem encounters, then energy consumption and processing load are reduced, but positive experiences and context information are lost
Solution Approach 1:
The feedback collection mechanism operates continuously throughout device usage, not just during problem states. The system continuously gathers data about user experiences, environmental conditions, and device performance, maintaining an ongoing record of hearing experiences that informs parameter adjustments and improves the psychoacoustic model over time.
4Ease of operation
If manual fitting procedures are used, then ease of operation is maintained, but adaptability to real-life situations deteriorates
Solution Approach 1:
The hearing device transitions from static manual fitting to dynamic automatic adaptation. The psychoacoustic model continuously processes feedback data and adjusts parameters in real-time based on changing environmental conditions and user preferences, enabling the device to adapt to diverse real-life situations while maintaining ease of operation through automated processes.
Data Source
AI summary
A hearing device with online (real-time) intelligent performance management. The online management component of the hearing device learns a hearing device user's preferences for operation of the hearing device while the user is using the hearing device in every-day life. The online management component learns the user's preferences from the user's perception of the hearing device output in different listening environments and/or during different activities. The users perception include positive/satisfactory responses of the user to the output from the hearing device. The online management component builds up an individualized model for the user based upon the users perceptions whilst encountering different listening environments and/or engaging in different activities. The individualized model is used to control the hearing device to produce an acoustic output for the user.


