Audio Analysis Agent for Speech Confliction in High Latency Sessions
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Solution Overview
Problem
Current collaboration services do not effectively manage speech confliction in high latency networks, leading to awkward situations where users often speak simultaneously due to delayed audio transmission.
Innovation Solution
A computing system with audio analysis agents in client devices determines network latency and generates an indicator command to display the speaking status of users, preventing speech confliction by showing indicators such as red for speaking, yellow for pause, and green for silence, allowing other users to know when to speak safely.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If audio transmission occurs in real-time during collaboration sessions, then communication responsiveness is improved, but speech confliction increases due to high network latency
Solution Approach 1:
The system performs preliminary action by detecting when a user is speaking and proactively displaying an indicator before the audio transmission completes. This allows other users to know in advance when they should wait, preventing speech confliction while maintaining real-time communication flow.
Solution Approach 2:
The system implements feedback by continuously monitoring audio input, determining speaking status, and providing visual feedback through indicators displayed to other users. This feedback loop enables users to adjust their speaking timing based on real-time information about when others are talking, eliminating speech overlap.
2Reliability
If network latency is high, then communication reliability is maintained, but speech confliction increases due to delayed audio transmission
Solution Approach 1:
The system introduces an intermediary mechanism - the visual indicator - that mediates between the high latency condition and the need for clear communication. The indicator translates the abstract latency problem into concrete visual information, allowing users to coordinate speaking turns without requiring immediate audio feedback.
3Object-generated harmful factors
If audio analysis is performed continuously to detect speaking status, then speech confliction is prevented, but system complexity increases
Solution Approach 1:
The system implements self-service by having each client device's audio analysis agent automatically detect speaking status and generate indicator commands without requiring central coordination or complex external systems. The agents operate independently, analyzing local audio and autonomously managing the indicator display.
Data Source
AI summary
A computing system includes first and second client computing devices accessing a communications network to establish a communications session. The first client computing device operates an audio analysis agent to determine network latency within the communications session based on communications with an audio analysis agent in the second client computing device. In response to the network latency exceeding a latency threshold, audio input from a user of the first client computing device is analyzed to determine a speaking status of the user. The audio analysis agent generates an indicator command message for the second client computing device based on the determined speaking status of the user. The second client computing device displays an indicator based on the indicator command message indicating when a user of the second client computing device can speak to avoid speech confliction with the user of said first client computing device.