Music's Multimodal Complexity in AVQA: Why We Need More than General Multimodal LLMs

• URL: http://arxiv.org/abs/2505.20638v1
• Date: Tue, 27 May 2025 02:31:24 GMT
• Title: Music's Multimodal Complexity in AVQA: Why We Need More than General Multimodal LLMs
• Authors: Wenhao You, Xingjian Diao, Chunhui Zhang, Keyi Kong, Weiyi Wu, Zhongyu Ouyang, Chiyu Ma, Tingxuan Wu, Noah Wei, Zong Ke, Ming Cheng, Soroush Vosoughi, Jiang Gui,
• Abstract summary: Music Audio-Visual Question Answering presents unique challenges with its continuous, densely layered audio-visual content.<n>This paper identifies that specialized input processing, architectures incorporating dedicated spatial-temporal designs, and music-specific modeling strategies are critical for success in this domain.
• Score: 24.215093830868813
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: While recent Multimodal Large Language Models exhibit impressive capabilities for general multimodal tasks, specialized domains like music necessitate tailored approaches. Music Audio-Visual Question Answering (Music AVQA) particularly underscores this, presenting unique challenges with its continuous, densely layered audio-visual content, intricate temporal dynamics, and the critical need for domain-specific knowledge. Through a systematic analysis of Music AVQA datasets and methods, this position paper identifies that specialized input processing, architectures incorporating dedicated spatial-temporal designs, and music-specific modeling strategies are critical for success in this domain. Our study provides valuable insights for researchers by highlighting effective design patterns empirically linked to strong performance, proposing concrete future directions for incorporating musical priors, and aiming to establish a robust foundation for advancing multimodal musical understanding. This work is intended to inspire broader attention and further research, supported by a continuously updated anonymous GitHub repository of relevant papers: https://github.com/xid32/Survey4MusicAVQA.

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