How We Built Real-Time AI Voice Translation for Multilingual Video Meetings

Thanks, Ahmet! That's a thoughtful observation.

Our architecture works a little differently. In Voicli, users select their preferred translation language in their profile during registration, and this preference remains fixed throughout a meeting.

However, users can speak in any supported language. Voicli automatically detects the spoken language and translates it into each listener's preferred language.

This design eliminates the mid-meeting target-language switching scenario you described and helps us keep audio processing more predictable.

Your point about handling queued audio during reconnections is still very relevant. Thanks for sharing your insights!

That is a fair correction: I inferred a mid-meeting target-language switch that your product does not support. With the preference fixed for the meeting, that part of my proposed scenario does not apply.

For reconnection, a meeting ID, speaker-turn ID and playback position still provide a useful boundary. A reconnect test can require the listener to resume without replaying already heard translation or inserting a late segment from a prior connection, while keeping the target language unchanged throughout.