The fourth annual ELG conference



Together Towards Digital Language Equality

Brussels, Belgium
Hybrid conference

Berlin Skyline
© Adobe Stock – Sergij Figurnyi

Project Expo

Project Profile

Project abbreviation: COMPRISE

Project name: Cost-effective, Multilingual, Privacy-driven voice-enabled Services

Project coordinator: Emmanuel Vincent (

Project consortium:

  • Inria
  • Ascora
  • Netfective Technology
  • Rooter Analysis
  • Tilde
  • Universität des Saarlandes

Funding: 3.2 Million €

Project duration: 12/2018 – 11/2021

Main key words: Voice Assistants, ASR, SLU, MT, Privacy, Multilingualism, Platforms

Background of the research topic: While voice-enabled applications are becoming ubiquitous, their development requires increasing amounts of human-labeled voice and text data and must be repeated in every language. This raises critical privacy concerns, incurs high costs for voice technology companies and application developers, and fails to address all languages and users.

Goal of the project: COMPRISE has contributed to building voice interaction technologies that are more secure, more cost-effective, and more inclusive.

Project abstract: To do so, COMPRISE has released a series of innovative software tools to hide personal attributes in voice and text data, train automatic speech recognition and natural language understanding systems from partially unlabeled data, and quickly expand their usage to multiple languages or accents. These tools have been integrated in the COMPRISE SDK and the COMPRISE Cloud Platform, which provide full-fledged functionality for voice technology companies and mobile application developers.