---
title: "DeepL Voice: Real-Time Speech-to-Speech Translation"
authors:
  - "Johannes Ernesti"
  - "Peter Kaiser"
  - "Jonas Heinze"
  - "Elnaz Shafaei-Bajestan"
  - "Kristina Geißler"
  - "Weiyue Wang"
  - "Johannes Beck"
  - "Sascha Brinker"
  - "Thorben Finke"
doi: "10.24963/ijcai.2026/962"
url: "https://ijcai.org/proceedings/2026/962"
pdf: "https://ijcai.org/proceedings/2026/0962.pdf"
venue: "Proceedings of the Thirty-Fifth International Joint Conference on Artificial Intelligence"
year: 2026
pages: "8385-8388"
track: "Demo Track"
keywords:
  - "AI: Natural Language Processing"
  - "AI: Humans and AI"
---

# DeepL Voice: Real-Time Speech-to-Speech Translation

Johannes Ernesti, Peter Kaiser, Jonas Heinze, Elnaz Shafaei-Bajestan, Kristina Geißler, Weiyue Wang, Johannes Beck, Sascha Brinker, Thorben Finke

*Proceedings of the Thirty-Fifth International Joint Conference on Artificial Intelligence*, pages 8385-8388. DOI: [10.24963/ijcai.2026/962](https://doi.org/10.24963/ijcai.2026/962)

## Abstract

DeepL Voice is a real-time speech-to-speech translation system for global business communication, following a pragmatic incremental approach: developing a production-grade cascaded speech-to-speech-translation (S2ST) system, while exploring end-to-end solutions in parallel.
The production system (launched November 2024) achieves competitive transcription quality through proprietary real-time ASR models and eliminates translation "flickering" via stable text streaming while maintaining low latency.
Supporting 18 input languages and 30+ target languages, it offers DeepL Voice for Meetings (Microsoft Teams/Zoom integration), DeepL Voice for Conversations (mobile apps), as well as the DeepL API for Voice.
Key features include customizable formality and glossary support for business-appropriate communication, with voice cloning TTS under development.