task_categories:audio-classification task_categories:voice-activity-detection size_categories:1M<n<10M language:he license:other arxiv:2307.08720 region:us
---
license: other
task_categories:
- audio-classification
- voice-activity-detection
language:
- he
size_categories:
- 1M<n<10M

extra_gated_prompt:
  "You agree to the following license terms:
  
  This material and data is licensed under the terms of the Creative Commons Attribution 4.0
  International License (CC BY 4.0), The full text of the CC-BY 4.0 license is available at
  https://creativecommons.org/licenses/by/4.0/.
  

  Notwithstanding the foregoing, this material and data may only be used, modified and distributed for
  the express purpose of training AI models, and subject to the foregoing restriction. In addition, this
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  likeness of the specific individuals appearing or speaking in such materials and data (a “deep-fake”).
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---

ivrit.ai is a database of Hebrew audio and text content.

**audio-base** contains the raw, unprocessed sources.

**audio-vad** contains audio snippets generated by applying Silero VAD (https://github.com/snakers4/silero-vad) to the base dataset.

**audio-transcripts** contains transcriptions for each snippet in the audio-vad dataset.

The audio-base dataset contains data from the following sources:
* Geekonomy (Podcast, https://geekonomy.net)
* HaCongress (Podcast, https://hacongress.podbean.com/)
* Idan Eretz's YouTube channel (https://www.youtube.com/@IdanEretz)
* Moneytime (Podcast, https://money-time.co.il)
* Mor'e Nevohim (Podcast, https://open.spotify.com/show/1TZeexEk7n60LT1SlS2FE2?si=937266e631064a3c)
* Yozevitch's World (Podcast, https://www.yozevitch.com/yozevitch-podcast)
* NETfrix (Podcast, https://netfrix.podbean.com)
* On Meaning (Podcast, https://mashmaut.buzzsprout.com)
* Shnekel (Podcast, https://www.shnekel.live)
* Bite-sized History (Podcast, https://soundcloud.com/historia-il)
* Tziun 3 (Podcast, https://tziun3.co.il)
* Academia Israel (https://www.youtube.com/@academiaisrael6115)
* Shiluv Maagal (https://www.youtube.com/@ShiluvMaagal)

Paper: https://arxiv.org/abs/2307.08720

If you use our datasets, the following quote is preferable:

```
@misc{marmor2023ivritai,
      title={ivrit.ai: A Comprehensive Dataset of Hebrew Speech for AI Research and Development}, 
      author={Yanir Marmor and Kinneret Misgav and Yair Lifshitz},
      year={2023},
      eprint={2307.08720},
      archivePrefix={arXiv},
      primaryClass={eess.AS}
}
```