Automated Speaker Array Configuration via Video-Audio Correlation
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Solution Overview
Problem
Conventional speaker array systems require manual configuration each time a new user or speaker array is added or moved, making the process burdensome and inconvenient.
Innovation Solution
An audio system that uses a computing device with video and audio sensors to detect and configure speaker arrays by capturing video of the listening area, emitting test sounds, and prompting user input to associate detected arrays with their positions, thereby automating the setup and configuration process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual configuration is used for speaker arrays, then system reliability is maintained through direct user control, but ease of operation deteriorates due to the burdensome and inconvenient setup process
Solution Approach 1:
The system performs self-configuration by automatically detecting speaker arrays in the listening area, capturing video to determine their locations, and assigning roles without requiring manual user input for each device. The computing device independently completes the configuration process, reducing both time and user burden.
Solution Approach 2:
The system performs preliminary detection and mapping of speaker arrays before actual audio configuration. Video capture and location determination are completed in advance, creating a ready-to-use spatial map that facilitates rapid subsequent configuration when users are added or devices are moved.
2Productivity
If manual configuration is required each time speaker arrays are added or moved, then adaptability to new configurations is achieved, but productivity deteriorates due to repeated manual setup
Solution Approach 1:
The system uses video feedback to continuously monitor and detect speaker array positions in the listening area. This visual feedback mechanism enables the system to automatically adapt to new configurations, identifying added or moved arrays and reconfiguring audio beams accordingly without manual intervention.
Solution Approach 2:
The configuration system is designed to be dynamic rather than static. It can detect changes in speaker array positions and user locations, automatically updating the audio beam configuration to match the current spatial arrangement, thereby maintaining both speed and adaptability.
3Extent of automation
If automated detection using video sensors is implemented, then ease of operation improves through minimal user input, but device complexity increases due to the integration of video capture and analysis
Solution Approach 1:
The computing device performs multiple functions: it acts as both the audio processing system and the video detection system. By utilizing existing multi-functional devices (smartphones, tablets, or computers with cameras), the system achieves high automation without adding separate dedicated hardware, thereby limiting the increase in overall system complexity.
Solution Approach 2:
The video capture and audio configuration functions are merged into a single integrated process. The computing device combines video input from the camera with audio processing capabilities to simultaneously perform spatial mapping and audio beam configuration, reducing the number of separate components needed.
Data Source
AI summary
An audio system is provided that efficiently detects speaker arrays and configures the speaker arrays to output sound. In this system, a computing device may record the addresses and/or types of speaker arrays on a shared network while a camera captures video of a listening area, including the speaker arrays. The captured video may be analyzed to determine the location of the speaker arrays, one or more users, and/or the audio source in the listening area. While capturing the video, the speaker arrays may be driven to sequentially emit a series of test sounds into the listening area and a user may be prompted to select which speaker arrays in the captured video emitted each of the test sounds. Based on these inputs from the user, the computing device may determine an association between the speaker arrays on the shared network and the speaker arrays in the captured video.