ivrit.ai: A Comprehensive Dataset of Hebrew Speech for AI Research and Development
This provides a crucial, legally accessible resource for researchers and developers working on Hebrew AI, though it is incremental as it applies existing data collection methods to a new language.
The authors tackled the lack of extensive Hebrew speech resources by introducing ivrit.ai, a dataset with over 3,300 hours of speech from over a thousand speakers, delivered in three forms to support ASR research and development.
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.