---
license: other
task_categories:
- audio-classification
- voice-activity-detection
language:
- he
size_categories:
- 1K<n<10K

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
  material and data may not be used in order to create audiovisual material that simulates the voice or
  likeness of the specific individuals appearing or speaking in such materials and data (a “deep-fake”).
  To the extent this paragraph is inconsistent with the CC-BY-4.0 license, the terms of this paragraph
  shall govern.


  By downloading or using any of this material or data, you agree that the Project makes no
  representations or warranties in respect of the data, and shall have no liability in respect thereof. These
  disclaimers and limitations are in addition to any disclaimers and limitations set forth in the CC-BY-4.0
  license itself. You understand that the project is only able to make available the materials and data
  pursuant to these disclaimers and limitations, and without such disclaimers and limitations the project
  would not be able to make available the materials and data for your use."

extra_gated_fields:
  I have read the license, and agree to its terms: checkbox
---


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.
v1 data is generated using silero-vad's default parameters.
v2 data is generated using min_speech_duration_ms=2000 (milliseconds), and max_speech_duration_s=30 (seconds).

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

You can find the full list of sources in this dataset under https://www.ivrit.ai/en/credits.

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}
}
```