17 citations · 47 across the 35 of their papers we have counts for
6 papers · 2 filters
Both Ears Wide Open: Towards Language-Driven Spatial Audio Generation
Peiwen Sun, Sitong Cheng, Xiangtai Li +5
Recently, diffusion models have achieved great success in mono-channel audio generation. However, when it comes to stereo audio generation, the soundscapes often have a complex sce…
Can LLMs "Reason" in Music? An Evaluation of LLMs' Capability of Music Understanding and Generation
Ziya Zhou, Yuhang Wu, Zhiyue Wu +7
Symbolic Music, akin to language, can be encoded in discrete symbols. Recent research has extended the application of large language models (LLMs) such as GPT-4 and Llama2 to the s…
FastSAG: Towards Fast Non-Autoregressive Singing Accompaniment Generation
Jianyi Chen, Wei Xue, Xu Tan +3
Singing Accompaniment Generation (SAG), which generates instrumental music to accompany input vocals, is crucial to developing human-AI symbiotic art creation systems. The state-of…
ComposerX: Multi-Agent Symbolic Music Composition with LLMs
Qixin Deng, Qikai Yang, Ruibin Yuan +16
Music composition represents the creative side of humanity, and itself is a complex task that requires abilities to understand and generate information with long dependency and har…
MuPT: A Generative Symbolic Music Pretrained Transformer
Xingwei Qu, Yuelin Bai, Yinghao Ma +25
In this paper, we explore the application of Large Language Models (LLMs) to the pre-training of music. While the prevalent use of MIDI in music modeling is well-established, our f…
ChatMusician: Understanding and Generating Music Intrinsically with LLM
Ruibin Yuan, Hanfeng Lin, Yi Wang +32
While Large Language Models (LLMs) demonstrate impressive capabilities in text generation, we find that their ability has yet to be generalized to music, humanity's creative langua…