Auditory Source Detection for Automatic Audio Preset Switching
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Solution Overview
Problem
Configuring audio settings on user devices for auditory devices is cumbersome and inefficient, requiring users to navigate through multiple windows and settings each time they want to change presets.
Innovation Solution
A computer-implemented method that automatically determines appropriate presets for auditory devices based on the type of device and action being performed, using wireless connectivity to detect and respond to user inputs such as speech, gestures, or device actions, applying preset curves for noise cancellation, music, or video settings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users manually configure audio settings for auditory devices, then they can customize their preferences, but the process becomes cumbersome and time-consuming requiring navigation through multiple windows
Solution Approach 1:
The system performs preliminary actions by automatically detecting the type of action being performed (e.g., phone call, music streaming, video playback) and pre-configuring the appropriate audio preset before the user needs to adjust settings. This eliminates the need for users to manually navigate through configuration windows each time they want to change audio settings.
Solution Approach 2:
The system serves itself by automatically determining the appropriate audio preset based on the detected action type and applying it without requiring user intervention. The system monitors the user device's activity state and autonomously adjusts audio parameters, freeing users from the manual configuration process.
2Adaptability or versatility
If users navigate through multiple settings windows to change audio presets, then they can access detailed configuration options, but the interface complexity increases
Solution Approach 1:
The system extracts the essential configuration information directly from the detected action type rather than requiring users to navigate through comprehensive settings interfaces. By identifying the action type (phone call, music, video) and extracting the corresponding preset parameters, the system simplifies the interface while maintaining adaptability to different audio scenarios.
Solution Approach 2:
The system creates a universal interface that handles multiple audio configuration scenarios through a single detection mechanism. Instead of requiring separate settings windows for different action types, the system uses one unified approach to detect actions and apply appropriate presets, reducing interface complexity while maintaining versatility.
3Productivity
If the system automatically detects action types and applies presets, then configuration time is reduced, but the system must accurately determine action types which requires additional processing
Solution Approach 1:
The system uses the user device's existing action detection capabilities as an intermediary to determine the type of action being performed. Instead of building complex detection mechanisms from scratch, the system leverages the user device's built-in sensors and processing to identify action types, which then trigger the appropriate audio presets.
Solution Approach 2:
The system implements feedback by continuously monitoring the user device's activity state and using this information to determine the appropriate audio preset. The detection mechanism receives feedback about the current action type and automatically adjusts audio settings accordingly, creating a closed-loop system that balances detection complexity with configuration speed.
Data Source
AI summary
A computer-implemented method performed on a user device includes wirelessly connecting a user device to an auditory device. The method further includes determining a type of auditory device wirelessly connected to the user device. The method further includes determining a type of action being performed by the user device. The method further includes transmitting an instruction to the auditory device to apply a first preset based on the type of auditory device and the type of action.


