正文：
近日，上海交通大学、清华大学、剑桥大学以及上海人工智能实验室（AILAB）联手推出了一项重大的开源项目——M3AV学术视听数据集。这一数据集的发布，旨在引领学术视听研究领域进入新的发展阶段。
该数据集由陈哲等研究人员领衔完成，M3AV数据集具有多模态、多领域和多用途的特性，为音频视觉学术研究提供了丰富的素材。该数据集涵盖了广泛的学科领域，包括各种学术演讲录像，充分展示了在线分享学术知识的新趋势。
此项研究的通讯作者包括上海交通大学的王钰教授和清华大学的张超教授。他们表示，M3AV数据集的推出将极大地促进学术交流与传播，为世界各地的学者和研究者提供了一个共同研究和创新的平台。机器之心AIxiv专栏也对这一重大进展进行了报道，鼓励研究者们积极投稿分享自己的优秀工作。
此外，该研究的论文链接及项目主页也已公开，方便公众获取相关信息。对于想要参与研究或投稿的个人和团队，可以通过联系机器之心的投稿邮箱进行联系。
这一跨学科的联合研究项目不仅展示了学术界的深度合作，也凸显了视听技术在学术研究中的重要性。相信在不久的将来，随着技术的不断进步，我们将见证更多的类似合作与研究，推动科学技术的发展。
英语如下：
News Title: M3AV Academic Audiovisual Dataset Release: A New Milestone for Academic Exchange and Communication
Keywords: News
News Content:
Title: Four Top Universities Jointly Release M3AV Academic Audiovisual Dataset, Ushering in a New Era of Audiovisual Research
Body:
Recently, Shanghai Jiao Tong University, Tsinghua University, the University of Cambridge, and the Shanghai Artificial Intelligence Laboratory (AILAB) jointly announced a significant open-source project – the M3AV Academic Audiovisual Dataset. The release of this dataset aims to lead the field of academic audiovisual research into a new phase of development.
Led by researchers including Chen Zhe, the M3AV dataset is characterized by its multi-modality, multi-domain, and multi-purpose nature, providing rich materials for audio-visual academic research. The dataset covers a wide range of subject areas, including various academic lecture videos, fully demonstrating the new trend of online academic knowledge sharing.
The corresponding authors of this study, Professor Wang Yu from Shanghai Jiao Tong University and Professor Zhang Chao from Tsinghua University, stated that the launch of the M3AV dataset will greatly promote academic exchange and communication, providing a platform for scholars and researchers worldwide to conduct joint research and innovation. The Machine Mind AIxiv column has also reported on this significant progress, encouraging researchers to actively submit and share their excellent work.
In addition, the research paper link and project homepage have been made public for the convenience of the public to obtain relevant information. For individuals and teams wishing to participate in research or submit contributions, they can contact the submission email of Machine Mind.
This interdisciplinary joint research project not only demonstrates deep cooperation in academia but also highlights the importance of audiovisual technology in academic research. It is believed that in the coming days, with the continuous advancement of technology, we will witness more similar collaborations and research, driving the development of science and technology.
【来源】https://www.jiqizhixin.com/articles/2024-07-06
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