top of page

ASK US

Tell us what we can help you with — whether it’s an event inquiry or a general question. If you’re planning an event, please include the location and date as well.

How AI Is Transforming Multilingual Live Events

  • andrea6964
  • Dec 8, 2025
  • 2 min read

AI is reshaping multilingual events, especially in hybrid formats with BYOD systems. From machine translation to real-time speech recognition, these tools improve accessibility while reducing costs. This article explains how it works, where it is being applied today, its advantages and challenges, and why event organizers are adopting it.



What Is AI Speech-to-Speech Interpretation?

Terms like “speech-to-speech translation,” “AI interpretation,” “automatic voice translation,” and “speech-to-speech interpretation” all describe the use of AI to translate spoken audio into another language in real time.


How AI interpretation works

  1. Audio is captured from speakers or video content.

  2. Speech recognition converts the spoken words into text.

  3. Machine translation renders the text into the target language.

  4. AI voice technology generates translated speech.

  5. The translated audio is delivered to the audience via devices or apps (BYOD).


Infographic of AI interpretation process: audio capture, cloud interpretation, delivery to attendees

How AI Is Used in Multilingual Events Today

  • Live captions and transcription: improve accessibility for attendees with hearing impairments by displaying captions on screens or accessing them via QR codes, and create records to share after the event.

  • Voice interpretation in real time: practical for less common languages, smaller sessions, internal meetings, or budget-sensitive events.


Main Benefits of AI in Multilingual Events

  • Accessibility & scalability: expand from a few languages to dozens with less effort.

  • Innovation: shows commitment to modern, inclusive practices.

  • Convenience & cost: cloud-based, fast to deploy, even last minute.

  • Sustainability: fewer devices and less travel reduce carbon footprint.


Quality and Limitations of AI Translation

  • Strong performance: AI delivers accurate speech-to-speech with minimal delay.

  • Transcription strength: often above 90% accuracy; NLP improves readability.

  • Remaining gaps: lacks full context understanding and cannot self-correct like human interpreters.


How Attendees Access It

  • Traditional receivers and headsets.

  • BYOD (Bring Your Own Device): smartphones, tablets, or laptops connect through web interfaces to select their preferred language.


Conclusion

AI interpretation is already powering events worldwide. While human interpreters remain unmatched in quality, AI broadens access by supporting more languages, reducing costs, and creating inclusive experiences. For organizers looking to innovate, integrating AI into their events is becoming a strategic advantage.

bottom of page