Distributed Audio System Synchronization via Master-Client Encoding
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Solution Overview
Problem
Current multi-speaker systems and microphone arrays lack the ability to efficiently aggregate and synchronize audio streams across multiple devices, limiting their capability for high-quality, synchronized playback and recording, especially in distributed environments.
Innovation Solution
A distributed audio system that enables multiple electronic devices to connect via a computer network, allowing for the aggregation of microphones and synchronized playback of audio streams, with a master device encoding and transmitting audio streams to client devices, and utilizing peer-to-peer connections for real-time data synchronization and filtering of late-arriving data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If multiple devices connect via short-range communication for multi-speaker systems, then audio playback quality and decibel output are improved, but system complexity and synchronization difficulty increase
Solution Approach 1:
The system divides audio streams into separate channels (e.g., left, right, center, surround) and distributes them to different speaker devices. Each device independently processes its assigned channel, simplifying individual device complexity while achieving high-quality multi-channel playback collectively.
Solution Approach 2:
A master device acts as an intermediary that encodes audio into multiple channels, transmits them to client devices, and coordinates synchronization. This central coordination reduces overall system complexity by managing timing and channel distribution centrally rather than requiring complex peer-to-peer synchronization.
2Reliability
If audio streams are transmitted to multiple client devices, then synchronized playback capability is improved, but network bandwidth consumption and transmission time increase
Solution Approach 1:
The master device performs preliminary encoding of the audio stream into multiple channels before transmission. By pre-processing the audio data and organizing it into separate streams, the system reduces the processing burden on client devices and enables parallel transmission, thereby reducing overall transmission time while maintaining synchronization.
Solution Approach 2:
The system uses periodic timing mechanisms and time stamps to manage audio stream transmission and playback. Each audio frame is transmitted with timing information, and client devices use this periodic structure to synchronize their playback, ensuring coherent multi-device output without requiring continuous communication overhead.
3Measurement precision
If devices record and process audio streams with time offsets, then synchronization accuracy is improved, but computational overhead and processing complexity increase
Solution Approach 1:
Each client device independently calculates its own time offset relative to the master device using received timing information. Rather than requiring complex centralized timing coordination, each device autonomously adjusts its playback timing based on its measured offset, simplifying the overall system architecture while achieving high synchronization accuracy.
Solution Approach 2:
The system implements feedback mechanisms where devices exchange timing information and adjust their playback accordingly. The master device sends time stamps and synchronization data to clients, which feedback their playback status, enabling continuous refinement of synchronization accuracy through iterative adjustment of time offsets.
Data Source
AI summary
Various embodiments manage a distributed audio system is disclosed. In one embodiment, an audio stream is received from each electronic device in a plurality of electronic devices. The audio stream is captured by at least one audio input module of the electronic device. Two or more of the audio streams are aggregated into a single audio stream. The single audio stream is outputted via at least one audio output module.