April 3, 2024, 4:47 a.m. | Zihao Deng, Yinghao Ma, Yudong Liu, Rongchen Guo, Ge Zhang, Wenhu Chen, Wenhao Huang, Emmanouil Benetos

cs.CL updates on arXiv.org arxiv.org

arXiv:2309.08730v3 Announce Type: replace-cross
Abstract: Large Language Models (LLMs) have shown immense potential in multimodal applications, yet the convergence of textual and musical domains remains not well-explored. To address this gap, we present MusiLingo, a novel system for music caption generation and music-related query responses. MusiLingo employs a single projection layer to align music representations from the pre-trained frozen music audio model MERT with a frozen LLM, bridging the gap between music audio and textual contexts. We train it on …

abstract applications arxiv captioning convergence cs.ai cs.cl cs.mm cs.sd domains eess.as gap language language models large language large language models llms multimodal music novel query responses text textual type

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