Multi-Device Audio Stream Mapping for Precise Playback Sync
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Solution Overview
Problem
Existing media playback systems face challenges in synchronizing audio across multiple devices, particularly in live performances and public address systems, due to processing delays that can disrupt lip-syncing and timing accuracy.
Innovation Solution
A computing device processes audio content based on the configuration of playback devices, including transducer specifications and environmental factors, to generate customized audio streams that minimize processing time and ensure synchronized playback across multiple transducers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If audio content is processed through multiple networked playback devices, then audio distribution and multi-room playback capability is improved, but processing delays increase and synchronization accuracy deteriorates
Solution Approach 1:
The system performs preliminary actions by pre-calculating and storing optimal buffering parameters for each playback device based on its specific hardware configuration and network characteristics. This allows the system to compensate for processing delays in advance, enabling synchronized playback across multiple devices without real-time processing delays affecting synchronization accuracy.
Solution Approach 2:
The system implements feedback mechanisms where each playback device reports its actual processing delay and playback status to the central controller. The controller continuously adjusts buffering parameters and synchronization timing based on this feedback, maintaining accurate synchronization even as processing conditions change during operation.
2Measurement precision
If audio processing is customized for each playback device, then playback quality and synchronization accuracy are improved, but system complexity and computational requirements increase
Solution Approach 1:
The system achieves customized processing for each playback device by dynamically adjusting key parameters such as buffer size, sample rate, and processing queue depth based on device-specific characteristics. This allows high synchronization accuracy without requiring completely custom processing pipelines for each device, thereby limiting the increase in system complexity.
Solution Approach 2:
The audio processing system is segmented into modular components that can be independently configured and optimized for each playback device. This modular architecture allows customization of processing parameters per device while maintaining a standardized overall system structure, reducing the burden of system complexity.
Data Source
AI summary
An example method includes receiving data indicating a configuration of one or more playback devices. The one or more playback devices may include one or more transducers. The method further includes, based on the received data, associating each of one or more audio streams respectively with at least one transducer of the one or more transducers. The method further includes generating the one or more audio streams and sending at least one of the generated one or more audio streams to each of the one or more playback devices. An example non-transitory computer readable medium and an example computing device related to the example method are also disclosed herein.