hlt-mt/FBK-fairseq
Repository containing the open source code of works published at the FBK MT unit.
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.
Stars
60
Forks
5
Language
Python
License
—
Category
Last pushed
Jan 16, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/hlt-mt/FBK-fairseq"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
facebookresearch/fairseq2
FAIR Sequence Modeling Toolkit 2
lhotse-speech/lhotse
Tools for handling multimodal data in machine learning projects.
google/sequence-layers
A neural network layer API and library for sequence modeling, designed for easy creation of...
awslabs/sockeye
Sequence-to-sequence framework with a focus on Neural Machine Translation based on PyTorch
OpenNMT/OpenNMT-tf
Neural machine translation and sequence learning using TensorFlow