ivrit.ai：面向AI研发的希伯来语语音综合数据集
ivrit.ai: A Comprehensive Dataset of Hebrew Speech for AI Research and Development
AI总结：
针对希伯来语高质量语音资源匮乏的问题，研究团队推出含3300余小时语音、千余名说话人的ivrit.ai数据集，提供三种数据形式且可免费使用，为希伯来语AI研发提供重要支撑。
摘要：
我们推出“ivrit.ai”这一综合希伯来语语音数据集，旨在解决当前推进希伯来语自动语音识别（ASR）技术时，缺乏大规模高质量资源的突出问题。ivrit.ai包含超3300小时语音数据，来自超千名不同说话人，汇集了多场景下的大量希伯来语语音内容。为满足不同研究需求，该数据集提供三种形式：未处理的原始音频、经语音活动检测（Voice Activity Detection）处理后的数据，以及部分标注了转录文本的数据。该数据集的突出优势是合法可获取且可免费使用，是研究人员、开发者及商业机构的重要资源。ivrit.ai可支撑众多应用场景，为提升希伯来语AI能力提供巨大潜力。未来工作将进一步扩展ivrit.ai，以此提升希伯来语在AI研究与技术领域的地位。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
