collaborators

5 papers

eess.AS2026

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…

cs.SD2026

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…

cs.LG2025

Time-Shifted Token Scheduling for Symbolic Music Generation

Ting-Kang Wang, Chih-Pin Tan, Yi-Hsuan Yang

Symbolic music generation faces a fundamental trade-off between efficiency and quality. Fine-grained tokenizations achieve strong coherence but incur long sequences and high comple…

cs.SD2025

AudioCodecBench: A Comprehensive Benchmark for Audio Codec Evaluation

Lu Wang, Hao Chen, Siyu Wu +5

Multimodal Large Language Models (MLLMs) have been widely applied in speech and music. This tendency has led to a focus on audio tokenization for Large Models (LMs). Unlike semanti…

cs.SD2025

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…