Dynamic Sweet Spot Audio Processing via Video Feedback
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Solution Overview
Problem
Conventional surround-sound systems require complex calibration to ensure accurate sound reproduction, with the 'sweet spot' being a fixed position, limiting flexibility for multiple users or changing listener positions, leading to distorted audio experiences.
Innovation Solution
A method and system that use a video camera to dynamically adjust sound delays and amplitudes based on the user's position, allowing the 'sweet spot' to be relocated to the current listener's position, enabling immersive audio experiences without manual recalibration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If automatic calibration using a microphone is used to determine speaker positions and adjust delays, then the initial setup is simplified, but the sweet spot remains fixed and cannot accommodate multiple users or changing listener positions
Solution Approach 1:
The system dynamically adjusts the sweet spot position based on real-time detection of listener position using a video camera. The processor continuously monitors the listener's location and modifies audio delays and amplitudes to relocate the sweet spot, transforming a static calibration system into a dynamic one that adapts to changing listener positions.
Solution Approach 2:
The system uses video camera feedback to detect listener position and feeds this information back to the processor, which then adjusts audio parameters accordingly. This closed-loop feedback mechanism enables the system to automatically adapt to multiple users and changing positions without manual recalibration.
2Measurement precision
If the sweet spot is fixed at a predetermined position, then audio synchronization is optimized for that position, but other positions in the room experience distorted audio with poor synchronization
Solution Approach 1:
The system makes the sweet spot dynamic by continuously adjusting audio delays and amplitudes based on the detected listener position. This ensures that audio synchronization remains optimized regardless of where the listener is positioned in the room, eliminating the distortion experienced at non-optimal positions.
Solution Approach 2:
The system changes audio parameters (delays and amplitudes for each speaker channel) in real-time based on listener position detection. By modifying these parameters dynamically, the system maintains accurate audio synchronization and proper soundstage imaging for listeners at any position in the room.
3Manufacturing precision
If manual calibration of speaker positions, delays, and amplitudes is performed, then audio accuracy at the sweet spot is maximized, but the process becomes complex and time-consuming
Solution Approach 1:
The system performs self-calibration by automatically detecting listener position via video camera and adjusting audio parameters without requiring manual intervention. This eliminates the time-consuming manual calibration process while maintaining high audio accuracy, as the system adapts automatically to the actual listening conditions.
Solution Approach 2:
The system uses real-time video feedback to automatically determine listener position and adjusts audio parameters accordingly, replacing the need for complex manual calibration procedures. This feedback-driven approach achieves high audio accuracy quickly and automatically.
4Adaptability or versatility
If a video camera is used to detect listener position and dynamically adjust audio parameters, then adaptability to multiple users is improved, but device complexity increases
Solution Approach 1:
The system introduces a video camera as an intermediary device to detect listener position non-invasively, avoiding the need for complex sensors in the audio path. The camera serves as a mediator that provides position information to the processor, which then adjusts audio parameters to support multiple users dynamically.
Solution Approach 2:
The system replaces traditional acoustic calibration methods (which would require physical microphones at listener positions and complex acoustic measurements) with optical detection using a video camera. This substitution simplifies the overall system architecture while enabling multi-user adaptability.
Data Source
AI summary
A method of audio processing for an entertainment device operable to communicate with a game controller, the method comprising the steps of generating a source sound for reproduction by a plurality of loudspeakers at a current position where acoustic signals from the plurality of loudspeakers are coincident (hereafter referred to as a ‘sweet spot’), requesting that the user steers the sound using the game controller until the user considers the sound to be centered upon them, and interpreting user inputs from the game controller to adjust the output timing of the source sound data signals for reproduction by respective ones of the plurality of loudspeakers in accordance with the user directional inputs so as to move the sweet spot.