MusiXQA: Advancing Visual Music Understanding in Multimodal Large Language Models
专题命中 音频语音多模态 :multimodal(title,abstract);MLLM(abstract);分类 cs.CV
Comments Under Review
AI 大模型
跨文本、图像、视频、音频等模态的大模型与学习方法。
专题命中 音频语音多模态 :multimodal(title,abstract);MLLM(abstract);分类 cs.CV
Comments Under Review
机构 * Center For Artificial Intelligence and Data Science, University of Würzburg(人工智能与数据科学中心,乌尔姆大学) ; Language Technology Lab, University of Cambridge(语言技术实验室,剑桥大学) ; Mila, McGill University and Canada CIFAR AI Chair(Mila,麦吉尔大学及加拿大CIFAR人工智能主席)
专题命中 音频语音多模态 :multimodal(abstract);分类 cs.CL、cs.AI
机构 * Department of Computer Science and Technology, Tsinghua University(计算机科学与技术系,清华大学) ; School of Computer Technology and Application, Qinghai University(计算机技术与应用学院,青海大学) ; ByteDance(字节跳动) ; Nanjing University(南京大学) ; Southern University of Science and Technology(南方科技大学) ; Institute of Acoustics, Chinese Academy of Sciences(中国科学院声学研究所)
专题命中 音频语音多模态 :multimodal(abstract);分类 eess.AS
Comments 34 pages, 10 figures
机构 * Speech and Hearing (SPandH), School of Computer Science, The University of Sheffield, UK(语音与听力(SPandH)、计算机科学学院、谢菲尔德大学、英国) ; South Westphalia University of Applied Sciences, Iserlohn, Germany(西南弗兰肯应用科学大学、伊塞尔洛恩、德国)
专题命中 音频语音多模态 :cross-modal(abstract);分类 cs.MM
Comments Accepted to SPECOM 2025, 13 pages, 4 figures. To appear in the Proceedings of the 27th International Conference on Speech and Computer (SPECOM) 2025, October 13-14, 2025, Szeged, Hungary
专题命中 音频语音多模态 :multimodal(abstract)
Comments 6 figures, 4 tables