hlt-mt/FBK-fairseq

Repository containing the open source code of works published at the FBK MT unit.

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Emerging

This project provides tools and models for professionals working with spoken language, such as broadcasters, subtitlers, or content creators. It helps process raw speech audio to produce accurate text transcripts, translate spoken content into other languages, and generate subtitles, even in real-time. The solutions address specific challenges like gender bias in translation, managing person names, and ensuring high-quality output.

Use this if you need to reliably convert spoken audio into text or translate speech, particularly for subtitling, broadcasting, or analyzing conversations, and require advanced features like gender-balanced translation or real-time processing.

Not ideal if your primary need is general-purpose text-to-text translation or if you are not working with speech audio as your core input.

speech-to-text speech-translation subtitling broadcasting audio-content-analysis
No Package No Dependents
Maintenance 10 / 25
Adoption 8 / 25
Maturity 16 / 25
Community 9 / 25

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Language

Python

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Last pushed

Jan 16, 2026

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