Spaces:
Running
Running
File size: 1,152 Bytes
fcefab7 7cbd4bb fcefab7 7cbd4bb be51366 8dfce74 be51366 8dfce74 be51366 fbb0185 b7870d3 fbb0185 b7870d3 fbb0185 b7870d3 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 |
---
title: README
emoji: π
colorFrom: gray
colorTo: yellow
sdk: static
pinned: false
license: other
---
ivrit.ai is an effort to provide high-quality Hebrew datasets under a permissive license.
It is our hope that such datasets will be used to enable first-class support for Hebrew in AI models.
More about us can be found at ivrit.ai.
We are proud to present our latest achievements:
1) A state-of-the-art Hebrew speech-to-text model: https://huggingface.co/ivrit-ai/whisper-large-v3-ct2
2) A turbo-based Hebrew speech-to-text model: https://huggingface.co/ivrit-ai/whisper-large-v3-turbo-ct2
3) Our newest comprehensive Hebrew language dataset: https://huggingface.co/datasets/ivrit-ai/crowd-transcribe-v5
Paper: https://www.isca-archive.org/interspeech_2025/marmor25_interspeech.pdf
If you use our datasets or models, the following quote is preferable:
```
@inproceedings{marmor2025building,
title={Building an Accurate Open-Source Hebrew ASR System through Crowdsourcing},
author={Marmor, Yanir and Lifshitz, Yair and Snapir, Yoad and Misgav, Kinneret},
booktitle={Proc. Interspeech 2025},
pages={723--727},
year={2025}
}
``` |