ivrit.ai: A Comprehensive Dataset of Hebrew Speech for AI Research and Development
Primary Area: general machine learning (i.e., none of the above)
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Keywords: corpus, speech, speech-to-text, Hebrew
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TL;DR: 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.
Abstract: 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 10,000 speech hours and 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.
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Submission Number: 3954
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