Auditory Prosthesis Speech Control for Discreet Audio Adjustment
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Solution Overview
Problem
Individuals with auditory prostheses face challenges in adjusting device settings discreetly and effectively in various sound environments, particularly in noisy settings like cocktail parties or sports arenas, without drawing attention to themselves.
Innovation Solution
An auditory control system that detects natural language indicators, such as 'excuse me?' or 'pardon me?', during conversations to automatically adjust audio settings, using speech recognition algorithms and environmental classification to optimize sound processing without requiring manual intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual adjustment controls are provided on auditory prostheses, then ease of operation is improved, but device complexity and obtrusiveness increase
Solution Approach 1:
The auditory prosthesis automatically adjusts its own audio settings by detecting control expressions in the user's speech during conversations, eliminating the need for manual controls. The system monitors the user's spoken phrases and autonomously modifies program selections based on the detected expressions.
Solution Approach 2:
The patent replaces physical mechanical controls with an acoustic detection system that uses speech recognition algorithms to identify control expressions in the user's voice, substituting manual mechanical adjustment with automated acoustic-based control.
2Adaptability or versatility
If manual adjustment is required in noisy environments, then adaptability is improved, but loss of time and ease of operation deteriorate
Solution Approach 1:
The system performs preliminary detection of control expressions during conversation to anticipate and prepare for upcoming environmental changes, allowing the auditory prosthesis to proactively adjust settings before the user would need to manually intervene.
Solution Approach 2:
The system continuously monitors the user's speech for control expressions and uses this feedback to automatically adjust program selections in real-time, creating a closed-loop system that adapts to environmental changes based on user needs detected through speech patterns.
3Ease of operation
If speech recognition is used for control, then ease of operation is improved, but device complexity and energy consumption increase
Solution Approach 1:
The system uses partial speech recognition by focusing specifically on detecting predetermined control expressions rather than performing full natural language processing. This selective approach reduces computational requirements and energy consumption while maintaining ease of operation for the specific control function.
Data Source
AI summary
Systems and methods for performing non-obtrusive, automatic adjustment of an auditory prosthesis are disclosed. A control expression can be detected during a conversation. Upon detection of the control expression, an audio setting adjustment can be selected and applied to the auditory prosthesis. Multiple adjustments can be made in response to identifying multiple control expressions during a conversation.


