Send in your ideas. Deadline February 1, 2025
Grant
Theme fund: NGI0 Discovery
Period: 2021-10 — 2022-10
More projects like this
Data and AI
Services + Applications

Independent captions and transcript augmentation

Speech-to-text integration for Waasabi

This project is archived. Due to circumstances, the project as planned did not take place. This page is left as a placeholder, for transparency reasons and to perhaps inspire others to take up this work.

Waasabi is a highly customizable platform for self-hosted video streaming (live broadcast) events. It is provided as a flexible open source web framework that anyone can host and integrate directly into their existing website. By focusing on quick setup, ease of use and customizability Waasabi aims to lower the barrier of entry for hosting custom live streaming events on one's own website, side-stepping the cost, compromises and limitations stemming from using various "batteries-included" offerings, but also removing the hassle of having to build everything from scratch.

In this project the team seeks to integrate tools for transcript augmentation, augmented human captioning and automatic machine-generated captions using open-source software based on machine learning and royalty-free training data and models. The primary use case is live captioning for live internet broadcasts (primarily video streaming). With such tools online event organizers will be able to create interactive transcripts and better live captions for their events anytime everywhere - and without external dependencies.

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This project was funded through the NGI0 Discovery Fund, a fund established by NLnet with financial support from the European Commission's Next Generation Internet programme, under the aegis of DG Communications Networks, Content and Technology under grant agreement No 825322.