34 citations · 150 across the 24 of their papers we have counts for
8 papers · 1 filter
UniAudio: An Audio Foundation Model Toward Universal Audio Generation
Dongchao Yang, Jinchuan Tian, Xu Tan +9
Large Language models (LLM) have demonstrated the capability to handle a variety of generative tasks. This paper presents the UniAudio system, which, unlike prior task-specific app…
EmoGen: Eliminating Subjective Bias in Emotional Music Generation
Chenfei Kang, Peiling Lu, Botao Yu +4
Music is used to convey emotions, and thus generating emotional music is important in automatic music generation. Previous work on emotional music generation directly uses annotate…
MuseCoco: Generating Symbolic Music from Text
Peiling Lu, Xin Xu, Chenfei Kang +4
Generating music from text descriptions is a user-friendly mode since the text is a relatively easy interface for user engagement. While some approaches utilize texts to control mu…
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…
GETMusic: Generating Any Music Tracks with a Unified Representation and Diffusion Framework
Ang Lv, Xu Tan, Peiling Lu +4
Symbolic music generation aims to create musical notes, which can help users compose music, such as generating target instrument tracks based on provided source tracks. In practica…
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…
AUDIT: Audio Editing by Following Instructions with Latent Diffusion Models
Yuancheng Wang, Zeqian Ju, Xu Tan +4
Audio editing is applicable for various purposes, such as adding background sound effects, replacing a musical instrument, and repairing damaged audio. Recently, some diffusion-bas…
Improving Few-Shot Learning for Talking Face System with TTS Data Augmentation
Qi Chen, Ziyang Ma, Tao Liu +4
Audio-driven talking face has attracted broad interest from academia and industry recently. However, data acquisition and labeling in audio-driven talking face are labor-intensive…