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--- |
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license: other |
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task_categories: |
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- audio-classification |
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- voice-activity-detection |
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language: |
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- he |
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size_categories: |
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- 1K<n<10K |
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extra_gated_prompt: |
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"You agree to the following license terms: |
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This material and data is licensed under the terms of the Creative Commons Attribution 4.0 |
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International License (CC BY 4.0), The full text of the CC-BY 4.0 license is available at |
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https://creativecommons.org/licenses/by/4.0/. |
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Notwithstanding the foregoing, this material and data may only be used, modified and distributed for |
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the express purpose of training AI models, and subject to the foregoing restriction. In addition, this |
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material and data may not be used in order to create audiovisual material that simulates the voice or |
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likeness of the specific individuals appearing or speaking in such materials and data (a “deep-fake”). |
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To the extent this paragraph is inconsistent with the CC-BY-4.0 license, the terms of this paragraph |
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shall govern. |
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By downloading or using any of this material or data, you agree that the Project makes no |
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representations or warranties in respect of the data, and shall have no liability in respect thereof. These |
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disclaimers and limitations are in addition to any disclaimers and limitations set forth in the CC-BY-4.0 |
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license itself. You understand that the project is only able to make available the materials and data |
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pursuant to these disclaimers and limitations, and without such disclaimers and limitations the project |
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would not be able to make available the materials and data for your use." |
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extra_gated_fields: |
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I have read the license, and agree to its terms: checkbox |
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--- |
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ivrit.ai is a database of Hebrew audio and text content. |
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**audio-base** contains the raw, unprocessed sources. |
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**audio-vad** contains audio snippets generated by applying Silero VAD (https://github.com/snakers4/silero-vad) to the base dataset. |
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v1 data is generated using silero-vad's default parameters. |
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v2 data is generated using min_speech_duration_ms=2000 (milliseconds), and max_speech_duration_s=30 (seconds). |
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**audio-transcripts** contains transcriptions for each snippet in the audio-vad dataset. |
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You can find the full list of sources in this dataset under https://www.ivrit.ai/en/credits. |
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Paper: https://arxiv.org/abs/2307.08720 |
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If you use our datasets, the following quote is preferable: |
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``` |
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@misc{marmor2023ivritai, |
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title={ivrit.ai: A Comprehensive Dataset of Hebrew Speech for AI Research and Development}, |
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author={Yanir Marmor and Kinneret Misgav and Yair Lifshitz}, |
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year={2023}, |
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eprint={2307.08720}, |
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archivePrefix={arXiv}, |
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primaryClass={eess.AS} |
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} |
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``` |
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