mlsanityData to 7 Oct 2026

ivrit.ai: A Comprehensive Dataset of Hebrew Speech for AI Research and Development

arXiv 2307.08720 ↗First posted 17 Jul 2023eess.AS cs.CL cs.SDcited by 4

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Abstract (arXiv)

We introduce "ivrit.ai", a comprehensive Hebrew speech dataset, addressing the distinct lack of extensive, high-quality resources for advancing Automated Speech Recognition (ASR) technology in Hebrew. With over 3,300 speech hours and a over a thousand diverse speakers, ivrit.ai offers a substantial compilation of Hebrew speech across various contexts. It is delivered in three forms to cater to varying research needs: raw unprocessed audio; data post-Voice Activity Detection, and partially transcribed data. The dataset stands out for its legal accessibility, permitting use at no cost, thereby serving as a crucial resource for researchers, developers, and commercial entities. ivrit.ai opens up numerous applications, offering vast potential to enhance AI capabilities in Hebrew. Future efforts aim to expand ivrit.ai further, thereby advancing Hebrew's standing in AI research and technology.

Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). Builds on 15 of its 46 references that are in the map. First posted on arXiv 17 Jul 2023.

Builds on

15 of 46 references.

References · 15

  1. 2022Robust Speech Recognition via Large-Scale Weak Supervisioncited by 3,972
  2. 2023A Survey of Large Language Modelscited by 2,537
  3. 2020MLS: A Large-Scale Multilingual Dataset for Speech Researchcited by 467
  4. 2021VoxPopuli: A Large-Scale Multilingual Speech Corpus for Representation Learning, Semi-Supervised Learning and Interpretationcited by 455
  5. 2023Scaling Speech Technology to 1,000+ Languagescited by 401
  6. 2023How Good Are GPT Models at Machine Translation? A Comprehensive Evaluationcited by 344
  7. 2017Supervised Speech Separation Based on Deep Learning: An Overviewcited by 213
  8. 2021SpeechT5: Unified-Modal Encoder-Decoder Pre-Training for Spoken Language Processingcited by 177
  9. 2020VoxLingua107: a Dataset for Spoken Language Recognitioncited by 118
  10. 2020Self-training and Pre-training are Complementary for Speech Recognitioncited by 98
  11. 2022Audio Self-supervised Learning: A Surveycited by 65
  12. 2023Transformers in Speech Processing: A Surveycited by 38
3 more
  1. 2021AlephBERT:A Hebrew Large Pre-Trained Language Model to Start-off your Hebrew NLP Application Withcited by 28
  2. 2020Self-Supervised Representations Improve End-to-End Speech Translationcited by 21
  3. 2022Large Pre-Trained Models with Extra-Large Vocabularies: A Contrastive Analysis of Hebrew BERT Models and a New One to Outperform Them Allcited by 14

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 2; 2025: 0; 2026: 2.

4 papers.

  1. 2024HebDB: a Weakly Supervised Dataset for Hebrew Speech Processingcited by 3
  2. 2024A Language Modeling Approach to Diacritic-Free Hebrew TTScited by 2
  3. 2026VoxKnesset: A Large-Scale Longitudinal Hebrew Speech Dataset for Aging Speaker Modelingcited by 1
  4. 2026Turning Speech Language Models into Multilingual Listenerscited by 0