ivrit.ai: A Comprehensive Dataset of Hebrew Speech for AI Research and
  Development
Yanir Marmor Kinneret Misgav Yair Lifshitz
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.