Implementing AI simultaneous translation: how it reaches your participants
Plenty has been written about how well AI translates. Very little about how the translation actually reaches the ears of your participants. Yet that is where it is decided whether AI simultaneous translation works at your event.
This article describes the technical side: the path the audio signal takes, the ways it can reach your participants, where things go wrong and what needs to be settled before the event. The software is new. The route to your participants is not, and that is where our 30 years of conference work sit.
The signal chain: from microphone to ear
1. Picking up the sound: the AI only hears what the microphone hears
Every AI simultaneous translation starts with speech recognition, and speech recognition works with the signal that reaches it. A microphone that picks up half the room delivers chairs, air conditioning and front-row conversations along with the speaker. The human ear copes with that. Speech recognition does not.
This is why we work with microphones close to the mouth: lapel microphone, headset, handheld. Questions from the floor go through a room microphone rather than being called out. None of this is specific to AI, it is simply good conference sound with less room for error.
2. Feeding it in: a dedicated output instead of open air
The system does not take its signal from the room but directly from the sound desk. A dedicated output from the mixer feeds the computer that produces the translation. That way the AI hears exactly what the loudspeakers in the room carry: mixed, levelled, without room reflections.
If it runs off a laptop’s built-in microphone instead, recognition quality drops immediately. That is the most common reason a solution convinces in a demonstration and disappoints in the room.
3. The way back: the translation returns as a channel
What the system produces is one audio channel per language, plus a text stream where subtitling is used. That channel goes back into our equipment and is treated there like any other language feed: a number, a level, a route to your participants.
From that point on it makes no difference to the system whether a human or a piece of software did the translating. That is why the two can be combined at the same event.
4. Delivery: the channel has to arrive
The final step is not done by software but by equipment in the room: receivers, headphones, loudspeakers, monitors, network. What that step looks like depends on your event.
There are three options, and most of the time it is a combination of two of them.
Three ways the translation reaches your participants
Receivers and headphones
Participants are handed a device at the entrance, select their channel and listen. Transmission is by radio, so it does not depend on the venue’s network. This is the option where least can go wrong, and our recommendation as soon as there are many people in the room or the event matters. Receivers, headphones, handing them out and collecting them back in are part of what we do.
Participants’ own devices
Bring your own device means participants listen on their smartphone with their own headphones. It saves equipment and works well when only part of the audience needs the translation. It does depend on the network at the venue, and every stream takes up bandwidth. With 200 participants on a guest wifi, that is a calculation to do beforehand.
Live subtitles to read along
Instead of listening, participants read along, on a monitor in the room or on their own device. It is quiet, it can be used casually, and it helps with technical terms, because a written word is less ambiguous than a spoken one. Anyone reading along, however, is not looking at the stage.
Why the network is the first question, not the last
Two lines, two jobs
AI simultaneous translation places two entirely different demands on the network. The first: the sound has to travel from the venue to the system and the translation back. That is a thin stream, but one that is sensitive to interruption and has to stay stable throughout the event.
The second: if participants listen or read on their own devices, each of them needs their own stream. A guest wifi is built for email, not for 200 simultaneous audio streams.
What we settle beforehand
Which line the building actually has, who manages it and how much of it we bring ourselves. For the feed we work with our own wired connection wherever the venue allows it.
And we do the arithmetic on delivery before we promise it: how many people are meant to listen, over which network, and whether radio receivers are the calmer route for part of the audience.
Did you know?
The line for the AI system and the wifi for your participants are two different things. An overloaded guest wifi slows down delivery, not the translation. Separate the two from the start and a problem stays a small problem.
Delay: where it comes from and what the technology can do about it
What happens inside the system
An AI does not translate word by word. It listens until a segment makes enough sense, recognises it, translates it and speaks it. Every step takes time, and the times add up.
In the room you notice this in two places: the translation lags a few seconds behind, and when the speaker changes there is first a pause and then a rapid burst of what was said.
What can be influenced
Technology changes nothing about the processing time itself. About everything that feeds into it, it changes a great deal:
- short, stable signal paths instead of mobile networks
- a microphone close to the mouth, cleanly passed on
- a chair who leaves a pause when speakers change
- programme, slides and names in advance, so that proper nouns are not guessed
- for streaming, an agreement on whether the picture waits for the translation
Where the delay rules AI out
Anyone who depends on the translation hears it at a distance and therefore cannot join a conversation spontaneously. For panel discussions, question and answer sessions and negotiations we advise against an AI solution.
For prepared presentations the same gap is barely noticeable. That is less a question of technology than of format.
Set up in the room or fed in from our technical studio
Set up in the room
At smaller events everything is on site: the feed at the mixing desk, the computer running the system, the transmitters for the receivers. One of our technicians sits alongside and steps in if a channel goes silent or a level drifts.
Fed in from our technical studio
The second option: the sound goes from the room to our technical studio, the translation is produced there and comes back as a channel. That saves space and set-up time on site, and the point where it all happens sits in an environment we control ourselves.
It is not a requirement. It is worth doing when the event is long, when several languages are involved, when the network on site is an unknown, or when nothing may go wrong.
Human interpreters and AI at the same event
To the system, a channel is a channel
An interpreting system carries several channels, and where a channel comes from makes no difference to it. Channel 1 English from the booth, channel 2 French from the booth, channel 3 a rare language from the AI system: for participants holding a receiver it is one press of a button.
That allows each to be used for what it does best. The main languages of your event are handled by simultaneous interpreters, and for individual guests with a language for which no team can be found, AI is added. What used to go untranslated is at least comprehensible.
Technically this is not a special case. It is the arrangement that asks for the fewest compromises.
What gets settled before the event
AI simultaneous translation is not a product you set down in a room. It is a chain, and every link is handled once beforehand. These are the points we go through with you:
- Sound design: which microphones, who speaks from where, how questions from the floor reach a microphone
- Languages and channels: which language from which source, how many channels the system has to carry
- Output options and quantities: receivers, own devices, subtitles, and how many people will use them
- Network: which line the feed uses, which network the participants use, who provides both
- Preparing the system: proper nouns, abbreviations, product names, programme and slides
- Test run: with the real microphones, in the real room, over the real network
- Support on the day: who sits at the equipment and steps in
- Fallback: what happens if the system drops out
The fallback
One question cannot be answered by the software, because it belongs to the equipment in the room: what happens if the system drops out in the middle of the event?
The honest answer is that there is no switch that replaces an AI with a human. An interpreting team is not on standby unless it has been booked. Everything else can be planned for: a second line for the feed, radio receivers instead of delivery over the network, someone at the desk who notices within seconds that a channel has gone silent, and an agreement with the chair on how to bridge an interruption.
The most important decision is taken beforehand anyway. If a failure or a misunderstanding would be expensive at your event, we advise against an AI solution and we say so. It is the same judgement we make at every event, only with a new tool in hand.
Frequently asked questions about implementation
How does a translation from an AI system reach the participants?
The system outputs one audio channel per language, which is fed into the conference equipment. From there it goes out via radio receivers with headphones, via the participants’ own smartphones, as live subtitles on a monitor, or through the room loudspeakers. A combination of two of these routes is the usual arrangement.
Does AI simultaneous translation need wifi in the room?
A stable internet line is needed for the connection to the system, ideally a wired one. Wifi for participants is only required if they listen or read on their own devices. Where radio receivers are used, delivery is independent of the wifi.
Can AI translation and simultaneous interpreters be combined at one event?
Yes. An interpreting system carries several channels, and it makes no difference whether a channel comes from an interpreting booth or from an AI system. This combination is common where the main languages are handled by interpreters and a rare language is to be covered in addition.
How long is the delay with AI simultaneous translation?
The translation follows the speaker a few seconds behind, because the system first waits for a segment that makes sense, recognises it, translates it and speaks it. When speakers change there is a pause at first, followed by a rapid burst of what was said. At prepared presentations this is barely noticeable; in discussions it is.
Which microphones are suitable for AI translation?
Microphones close to the mouth are suitable: lapel microphone, headset or handheld. Room microphones pick up background noise and reduce recognition quality considerably. Questions from the floor should also go through a microphone rather than being called out.
What is the difference between AI translation to listen to and live subtitles?
When listening, the translation is output as speech and played back through receivers, own devices or loudspeakers. With live subtitles it appears as text to read along, on a monitor in the room or on a personal device. Technically both come from the same speech recognition; they differ only in how they are delivered.
Who sets up AI translation for an event?
It is set up together with the conference equipment: the feed at the mixing desk, channel assignment, output options and a test run with the real microphones in the real room. On the day, technical support is part of it, able to step in if a channel fails.
Wondering whether AI is right for your event?
Tell us what you have in mind: the room, the languages, the audience, the occasion. We will tell you what the implementation would look like, which output options we recommend and what needs to be settled beforehand. And if an AI solution is the wrong choice for your event, we will tell you that just as plainly.