Location-Aware Audio Tuning for Mobile Uplink Speech Quality
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Solution Overview
Problem
Conventional audio tuning methods for mobile devices rely on assumptions about user positioning, leading to suboptimal audio quality due to varying user-held device orientations and distances from the mouth, resulting in attenuated signals and poor uplink speech quality.
Innovation Solution
Incorporating capacitive touch sensors and processors to detect the location and orientation of a device relative to a user's head, allowing for real-time adjustment of audio signals through algorithms that adapt tuning parameters based on sensed data, such as ear and cheek detection, to optimize audio uplink quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If conventional audio tuning methods are used based on assumptions about user positioning, then device complexity is reduced, but audio quality deteriorates due to varying user-held device orientations and distances
Solution Approach 1:
The system uses sensors to detect the actual position of the user's mouth relative to the device and feeds this information back to the audio processing system. This feedback loop enables dynamic adjustment of audio tuning parameters based on real-time positioning data, resolving the contradiction by maintaining audio quality without requiring overly complex manual configuration systems.
Solution Approach 2:
The system automatically detects user positioning and adjusts audio tuning parameters without requiring manual user input or configuration. The sensor system and processing algorithms work together to self-adjust the audio settings based on detected mouth position, device orientation, and distance, eliminating the need for complex user-facing tuning interfaces while maintaining high audio quality.
2Reliability
If sensors and processing algorithms are added to detect device location and adjust audio signals in real-time, then audio quality is improved, but device complexity increases
Solution Approach 1:
The system employs existing multi-functional components (sensors, processors already present in modern devices) to perform both their original functions and the additional audio positioning function. This approach minimizes the increase in device complexity by leveraging already-present hardware for multiple purposes rather than adding dedicated specialized components.
Solution Approach 2:
The system adjusts audio tuning parameters dynamically based on detected positioning data rather than requiring complex hardware changes. By modifying software-controlled audio parameters (gain, equalization, beamforming coefficients) based on sensor input, the system achieves improved audio quality through parameter adjustment rather than through increased hardware complexity.
3Adaptability or versatility
If audio tuning is adjusted dynamically based on sensed location, then adaptability to different user positions is improved, but processing requirements and complexity increase
Solution Approach 1:
The system pre-calculates and stores optimal audio tuning parameters for various detected mouth positions and device orientations. When a specific position is detected, the system retrieves the pre-computed parameters rather than calculating them in real-time, reducing processing complexity while maintaining high adaptability to different user positions.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach enhances audio quality by dynamically adjusting audio signals based on actual device positioning, preventing signal attenuation and improving overall telephony performance by compensating for varying user-held device orientations and distances.
Implementation Method 1
Incorporating capacitive touch sensors and processors to detect the location and orientation of a device relative to a user's head
Data Source
AI summary
An apparatus including at least one sensor configured to sense location of at least one portion of a head of a user relative to the apparatus; at least one processor; and at least one memory having software. The processor and the software are configured to process audio signals based, at least partially, upon output from the sensor.