Audio Profile Selection for Hearing-Impaired Users
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Solution Overview
Problem
Existing user devices in telecommunications systems face challenges in automatically selecting the appropriate user profile for communication sessions, particularly for hearing-impaired users, leading to difficulties in understanding audio inputs due to mismatched audio settings and voice profiles.
Innovation Solution
A computer-implemented method that compares first device data with multiple user profiles on a device, selecting and loading the appropriate audio profile based on caller-ID information, communication history, or default settings to ensure optimal audio output and voice recognition during communication sessions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple user profiles are stored on a shared user device, then the device can serve multiple users with different audio settings, but the complexity of automatically selecting the correct profile increases
Solution Approach 1:
The system automatically selects the appropriate user profile without requiring manual user intervention. The device monitors communication sessions, identifies the active user through various methods (caller-ID matching, communication history analysis, voice recognition), and autonomously loads the corresponding audio profile, thereby resolving the complexity of multi-user profile management.
Solution Approach 2:
User profiles are pre-configured with specific audio settings, voice recognition parameters, and communication preferences before needed. The system maintains a database of multiple user profiles with all necessary audio configurations already in place, enabling rapid automatic selection and loading when a communication session begins.
2Ease of operation
If manual profile selection is required, then users have control over audio settings, but communication setup time increases
Solution Approach 1:
The system performs automatic profile selection and loading without requiring users to manually choose profiles or adjust settings. The device autonomously identifies the active user and applies the appropriate audio configuration, eliminating setup time while maintaining the ability for users to review or modify profiles if desired.
Solution Approach 2:
All audio settings and profile configurations are prepared in advance during profile creation. When a communication session starts, the pre-configured profiles are immediately available for automatic selection and loading, eliminating the need for real-time configuration adjustments and reducing setup time to near-zero.
3Device complexity
If audio profiles are not automatically matched, then device settings remain simple, but hearing-impaired users experience difficulty understanding audio inputs
Solution Approach 1:
The system automatically detects when a hearing-impaired user is active and loads the appropriate audio profile with customized settings without requiring manual configuration. The device monitors communication patterns, user preferences, and accessibility needs, then autonomously applies the correct audio processing parameters to ensure accurate audio understanding.
Solution Approach 2:
Different audio profiles contain specialized settings tailored to specific users' hearing requirements. The system applies the appropriate profile locally to each communication session based on user identification, ensuring that hearing-impaired users receive customized audio processing (such as frequency enhancement, noise reduction, or captioning) while other users experience standard audio settings.
Data Source
AI summary
A computer-implemented method to select a user profile is disclosed. The method may include obtaining, from a first device, a communication attempt at a user device. The method may further include obtaining first device data associated with the communication attempt and with the first device. The method may also include comparing the first device data with multiple data elements of each of multiple user profiles associated with the user device. The method may further include selecting a user profile of the multiple user profiles that includes the data element that matches the first device data in response to the first device data matching a data element of the multiple data elements. The method may also include loading an audio profile for the selected user profile on the user device.