1 citations · 1 across the 6 of their papers we have counts for
6 papers
Multi-Accent Mandarin Dry-Vocal Singing Dataset: Benchmark for Singing Accent Recognition
Zihao Wang, Ruibin Yuan, Ziqi Geng +7
Singing accent research is underexplored compared to speech accent studies, primarily due to the scarcity of suitable datasets. Existing singing datasets often suffer from detail l…
SSIMuse: Assessing Data Replication in Symbolic Music via an Adapted Structural Similarity Index Measure
Shulei Ji, Zihao Wang, Le Ma +2
AI-generated music may inadvertently replicate training samples and raise plagiarism concerns. Similarity measures can quantify such replication, thereby offering supervision and g…
Losing is for Cherishing: Data Valuation Based on Machine Unlearning and Shapley Value
Le Ma, Shirao Yang, Zihao Wang +4
The proliferation of large models has intensified the need for efficient data valuation methods to quantify the contribution of individual data providers. Traditional approaches, s…
SongGLM: Lyric-to-Melody Generation with 2D Alignment Encoding and Multi-Task Pre-Training
Jiaxing Yu, Xinda Wu, Yunfei Xu +4
Lyric-to-melody generation aims to automatically create melodies based on given lyrics, requiring the capture of complex and subtle correlations between them. However, previous wor…
SaMoye: Zero-shot Singing Voice Conversion Model Based on Feature Disentanglement and Enhancement
Zihao Wang, Le Ma, Yongsheng Feng +3
Singing voice conversion (SVC) aims to convert a singer's voice to another singer's from a reference audio while keeping the original semantics. However, existing SVC methods can h…
REMAST: Real-time Emotion-based Music Arrangement with Soft Transition
Zihao Wang, Le Ma, Chen Zhang +8
Music as an emotional intervention medium has important applications in scenarios such as music therapy, games, and movies. However, music needs real-time arrangement according to…