5 papers
VIOLET: High-Fidelity Violin Synthesis with Techniques and Dynamics
Baotong Tian, Cynthia Lu, Vincent K. M. Cheung +3
Neural synthesis for musical instruments has the potential to revolutionize current practices that use concatenative synthesis and a sample library. However, most research focused…
VioPTT: Violin Technique-Aware Transcription from Synthetic Data Augmentation
Ting-Kang Wang, Yueh-Po Peng, Li Su +1
While automatic music transcription is well-established in music information retrieval, most models are limited to transcribing pitch and timing information from audio, and thus om…
Is Transfer Learning Necessary for Violin Transcription?
Yueh-Po Peng, Ting-Kang Wang, Li Su +1
Automatic music transcription (AMT) has achieved remarkable progress for instruments such as the piano, largely due to the availability of large-scale, high-quality datasets. In co…
Whole-brain Transferable Representations from Large-Scale fMRI Data Improve Task-Evoked Brain Activity Decoding
Yueh-Po Peng, Vincent K. M. Cheung, Li Su
A fundamental challenge in neuroscience is to decode mental states from brain activity. While functional magnetic resonance imaging (fMRI) offers a non-invasive approach to capture…
Imagine yourself: Tuning-Free Personalized Image Generation
Zecheng He, Bo Sun, Felix Juefei-Xu +14
Diffusion models have demonstrated remarkable efficacy across various image-to-image tasks. In this research, we introduce Imagine yourself, a state-of-the-art model designed for p…