21 citations · 33 across the 10 of their papers we have counts for
6 papers · 1 filter
GTSinger: A Global Multi-Technique Singing Corpus with Realistic Music Scores for All Singing Tasks
Yu Zhang, Changhao Pan, Wenxiang Guo +15
The scarcity of high-quality and multi-task singing datasets significantly hinders the development of diverse controllable and personalized singing tasks, as existing singing datas…
Accompanied Singing Voice Synthesis with Fully Text-controlled Melody
Ruiqi Li, Zhiqing Hong, Yongqi Wang +4
Text-to-song (TTSong) is a music generation task that synthesizes accompanied singing voices. Current TTSong methods, inherited from singing voice synthesis (SVS), require melody-r…
Self-Supervised Singing Voice Pre-Training towards Speech-to-Singing Conversion
Ruiqi Li, Rongjie Huang, Yongqi Wang +2
Speech-to-singing voice conversion (STS) task always suffers from data scarcity, because it requires paired speech and singing data. Compounding this issue are the challenges of co…
Robust Singing Voice Transcription Serves Synthesis
Ruiqi Li, Yu Zhang, Yongqi Wang +3
Note-level Automatic Singing Voice Transcription (AST) converts singing recordings into note sequences, facilitating the automatic annotation of singing datasets for Singing Voice…
Text-to-Song: Towards Controllable Music Generation Incorporating Vocals and Accompaniment
Zhiqing Hong, Rongjie Huang, Xize Cheng +5
A song is a combination of singing voice and accompaniment. However, existing works focus on singing voice synthesis and music generation independently. Little attention was paid t…
Prompt-Singer: Controllable Singing-Voice-Synthesis with Natural Language Prompt
Yongqi Wang, Ruofan Hu, Rongjie Huang +6
Recent singing-voice-synthesis (SVS) methods have achieved remarkable audio quality and naturalness, yet they lack the capability to control the style attributes of the synthesized…