5 citations · 22 across the 25 of their papers we have counts for
5 papers · 1 filter
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…
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…
NAS-FM: Neural Architecture Search for Tunable and Interpretable Sound Synthesis based on Frequency Modulation
Zhen Ye, Wei Xue, Xu Tan +2
Developing digital sound synthesizers is crucial to the music industry as it provides a low-cost way to produce high-quality sounds with rich timbres. Existing traditional synthesi…
Learn to Sing by Listening: Building Controllable Virtual Singer by Unsupervised Learning from Voice Recordings
Wei Xue, Yiwen Wang, Qifeng Liu +1
The virtual world is being established in which digital humans are created indistinguishable from real humans. Producing their audio-related capabilities is crucial since voice con…
CoMoSpeech: One-Step Speech and Singing Voice Synthesis via Consistency Model
Zhen Ye, Wei Xue, Xu Tan +3
Denoising diffusion probabilistic models (DDPMs) have shown promising performance for speech synthesis. However, a large number of iterative steps are required to achieve high samp…