5 papers · 1 filter
Music2Fail: Transfer Music to Failed Recorder Style
Chon In Leong, I-Ling Chung, Kin-Fong Chao +3
The goal of music style transfer is to convert a music performance by one instrument into another while keeping the musical contents unchanged. In this paper, we investigate anothe…
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…
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…
Improving Unsupervised Clean-to-Rendered Guitar Tone Transformation Using GANs and Integrated Unaligned Clean Data
Yu-Hua Chen, Woosung Choi, Wei-Hsiang Liao +5
Recent years have seen increasing interest in applying deep learning methods to the modeling of guitar amplifiers or effect pedals. Existing methods are mainly based on the supervi…