2 citations · 2 across the 3 of their papers we have counts for
11 papers
SongCreator: Lyrics-based Universal Song Generation
Shun Lei, Yixuan Zhou, Boshi Tang +7
Music is an integral part of human culture, embodying human intelligence and creativity, of which songs compose an essential part. While various aspects of song generation have bee…
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…
SCNet: Sparse Compression Network for Music Source Separation
Weinan Tong, Jiaxu Zhu, Jun Chen +5
Deep learning-based methods have made significant achievements in music source separation. However, obtaining good results while maintaining a low model complexity remains challeng…
Multi-view MidiVAE: Fusing Track- and Bar-view Representations for Long Multi-track Symbolic Music Generation
Zhiwei Lin, Jun Chen, Boshi Tang +7
Variational Autoencoders (VAEs) constitute a crucial component of neural symbolic music generation, among which some works have yielded outstanding results and attracted considerab…
Towards Improving the Expressiveness of Singing Voice Synthesis with BERT Derived Semantic Information
Shaohuan Zhou, Shun Lei, Weiya You +5
This paper presents an end-to-end high-quality singing voice synthesis (SVS) system that uses bidirectional encoder representation from Transformers (BERT) derived semantic embeddi…
Towards Spontaneous Style Modeling with Semi-supervised Pre-training for Conversational Text-to-Speech Synthesis
Weiqin Li, Shun Lei, Qiaochu Huang +4
The spontaneous behavior that often occurs in conversations makes speech more human-like compared to reading-style. However, synthesizing spontaneous-style speech is challenging du…