Push-To-Talk Server Buffering for Prioritized Audio Playback
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Solution Overview
Problem
In push-to-talk (PTT) systems, multiple users speaking simultaneously can lead to audio transmission failures, and users pressing the PTT button before connection establishment results in missed crucial information, while existing techniques fail to effectively manage and prioritize audio messages.
Innovation Solution
A server-based AI engine determines importance scores for audio messages using convolutional neural networks (CNN) for nonverbal features and transformer-based AI for verbal features, reordering and buffering messages to ensure critical information is prioritized and transmitted.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If audio messages are transmitted in real-time without buffering, then transmission speed is improved, but message prioritization and ordering reliability deteriorates
Solution Approach 1:
The system performs preliminary actions by buffering audio messages before transmission and using AI to determine importance scores in advance. This allows the server to prepare and prioritize messages ahead of time, ensuring critical information is transmitted first while maintaining real-time performance. The buffering mechanism captures messages during connection establishment and pre-processes them for prioritization.
Solution Approach 2:
The system changes the parameter of message ordering by introducing importance scores derived from AI analysis of nonverbal and verbal features. Instead of transmitting messages in strict chronological order, the system reorders them based on dynamically calculated importance parameters, allowing critical messages to be prioritized while maintaining efficient transmission speeds.
2Productivity
If multiple users speak simultaneously, then communication activity is improved, but audio transmission reliability deteriorates
Solution Approach 1:
The system implements feedback mechanisms where the server receives audio messages from multiple simultaneous users, analyzes them using AI engines to determine importance scores, and feeds back prioritized ordering information. This feedback loop allows the system to handle concurrent communication activity while maintaining transmission reliability by identifying and prioritizing critical messages among the simultaneous inputs.
Solution Approach 2:
The system changes the transmission parameter from simple chronological ordering to importance-based ordering. By analyzing nonverbal features (voice tonality, volume) and verbal features through AI, the system dynamically adjusts message priority parameters, allowing reliable transmission even when multiple users speak simultaneously and communication activity is high.
3Loss of time
If connection establishment time is reduced, then system responsiveness is improved, but audio capture completeness deteriorates
Solution Approach 1:
The system performs preliminary action by buffering audio messages during the connection establishment period. Even though the connection is not fully established, the server captures and stores audio messages in a buffer, ensuring no information is lost. This preliminary buffering action completes before the connection is fully established, maintaining both fast responsiveness and complete audio capture.
Solution Approach 2:
The server acts as an intermediary by introducing a buffering mechanism between the client and the transmission system. This intermediary buffer captures audio messages during connection establishment and handoff periods, ensuring complete audio information is preserved even when connection timing is compressed. The buffer mediates between the need for fast connection establishment and the need for complete audio capture.
Data Source
AI summary
A push-to-talk server receives a request from a client device to initiate a push-to-talk communication with one or more recipient devices. The push-to-talk server receives, from the client device, an audio recording recorded during a latency period between initiation of the push-to-talk communication at the client device and receipt of the request by the push-to-talk server. The push-to-talk server transmits the audio recording to the one or more recipient devices. The push-to-talk server receives real-time audio from the client device. The push-to-talk server buffers the real-time audio for transmission to the one or more recipient devices after completion of playback of the audio recording.