2 citations · 2 across the 7 of their papers we have counts for
5 papers · 1 filter
Demo of Zero-Shot Guitar Amplifier Modelling: Enhancing Modeling with Hyper Neural Networks
Yu-Hua Chen, Yuan-Chiao Cheng, Yen-Tung Yeh +4
Electric guitar tone modeling typically focuses on the non-linear transformation from clean to amplifier-rendered audio. Traditional methods rely on one-to-one mappings, incorporat…
DDSP Guitar Amp: Interpretable Guitar Amplifier Modeling
Yen-Tung Yeh, Yu-Hua Chen, Yuan-Chiao Cheng +4
Neural network models for guitar amplifier emulation, while being effective, often demand high computational cost and lack interpretability. Drawing ideas from physical amplifier d…
Distortion Recovery: A Two-Stage Method for Guitar Effect Removal
Ying-Shuo Lee, Yueh-Po Peng, Jui-Te Wu +3
Removing audio effects from electric guitar recordings makes it easier for post-production and sound editing. An audio distortion recovery model not only improves the clarity of th…
Towards zero-shot amplifier modeling: One-to-many amplifier modeling via tone embedding control
Yu-Hua Chen, Yen-Tung Yeh, Yuan-Chiao Cheng +4
Replicating analog device circuits through neural audio effect modeling has garnered increasing interest in recent years. Existing work has predominantly focused on a one-to-one em…
A Study on Synthesizing Expressive Violin Performances: Approaches and Comparisons
Tzu-Yun Hung, Jui-Te Wu, Yu-Chia Kuo +3
Expressive music synthesis (EMS) for violin performance is a challenging task due to the disagreement among music performers in the interpretation of expressive musical terms (EMTs…