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.

我们介绍了 “ivrit.ai”，它是一种全面的希伯来语语音数据集，解决了希伯来语自动语音识别（ASR）技术推进所面临的严重资源缺乏问题。该数据集包括超过 3300 小时的语音和 1000 多个不同的说话者，涵盖了各种语境下的希伯来语音。它以三种形式提供，以满足不同的研究需求：原始未处理音频；经过语音活动检测后的数据；以及部分转录的数据。这个数据集的独特之处在于其合法可获取性，可以无费使用，因此成为研究人员、开发者和商业实体的重要资源。ivrit.ai 打开了众多应用的可能性，为提升希伯来语的人工智能能力提供了广阔的潜力。未来的努力旨在进一步扩展 ivrit.ai，从而推进希伯来语在人工智能研究和技术方面的地位。