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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_heading: >- |
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You must agree to the ivrit.ai License Agreement to |
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access this dataset. |
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license_name: ivrit.ai |
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license_link: LICENSE |
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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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# License |
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The dataset is released under the ivrit.ai License, which enables broad research and commercial use. |
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- Full license: https://www.ivrit.ai/en/the-license/ |
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- FAQs: https://www.ivrit.ai/en/license-faqs/ |
