AI 大模型

多模态大模型

跨文本、图像、视频、音频等模态的大模型与学习方法。

2025-11-21 至 2025-11-21 共收录 3 篇信号源：cs.CV, cs.CL, cs.AI, cs.MM, eess.AS

1. 音频语音多模态 3 篇

2501.01094 2025-11-21 cs.SD cs.AI cs.MM eess.AS 82%

MMVA: Multimodal Matching Based on Valence and Arousal across Images, Music, and Musical Captions

MMVA: 基于估值和唤醒度的多模态匹配

Suhwan Choi, Kyu Won Kim, Myungjoo Kang

专题命中音频语音多模态：multimodal(title,abstract)；分类 cs.AI、cs.MM、eess.AS

AI总结 MMVA通过多模态匹配基于估值和唤醒度，实现跨图像、音乐和音乐字幕的情感内容捕捉，并在估值-唤醒度预测任务中取得最佳性能。

Comments Paper accepted in Artificial Intelligence for Music workshop at AAAI 2025

2511.16225 2025-11-21 cs.LG 78%

Real-Time Inference for Distributed Multimodal Systems under Communication Delay Uncertainty

在通信延迟不确定性下的分布式多模态系统实时推理

Victor Croisfelt, João Henrique Inacio de Souza, Shashi Raj Pandey, Beatriz Soret, Petar Popovski

机构 * SNS JU project 6G-GOALS under the EU’s Horizon Europe program（欧盟地平线欧洲计划下的SNS JU项目6G-GOALS）

专题命中音频语音多模态：multimodal(title)；audio-visual(abstract)

AI总结本文提出了一种基于自适应时间窗口整合的非阻塞推理方法，以应对通信延迟不确定性，提升分布式多模态系统的实时推理性能。

Comments 6 pages, 3 figures, submitted to IEEE ICC 2026

2502.10108 2025-11-21 cs.LG q-bio.NC 50%

NeuroXVocal: Detection and Explanation of Alzheimer's Disease through Non-invasive Analysis of Picture-prompted Speech

NeuroXVocal：通过非侵入性分析提示语音检测和解释阿尔茨海默病

Nikolaos Ntampakis, Konstantinos Diamantaras, Ioanna Chouvarda, Magda Tsolaki, Vasileios Argyriou, Panagiotis Sarigianndis

机构 * International Hellenic University, Sindos, Greece MetaMind Innovations, Kozani, Greece Aristotle University of Thessaloniki, Thessaloniki, Greece Greek Association of Alzheimer’s Disease \& Related Disorders, Thessaloniki, Greece Kingston University London, London, UK University of Western Macedonia, Kozani, Greece

专题命中音频语音多模态：cross-modal(abstract)

AI总结 NeuroXVocal通过非侵入性语音分析实现阿尔茨海默病的检测与解释，结合高精度分类和文献支持的可解释性，提升临床诊断效果。

Journal ref Medical Image Computing and Computer Assisted Intervention - MICCAI 2025. Lecture Notes in Computer Science, vol 15973. Springer, Cham (2025)