7 papers
EG-VAE: A Unified Framework for Electric Guitar Tone Transfer and Removal
Yen-Tung Yeh, Yun-Ning, Hung +1
Electric guitar tone transfer (EGTT) and tone removal (EGTR) are two fundamental tasks in guitar tone modeling: EGTT replaces a recording's tone with that of a reference, while EGT…
Rethinking Automatic Music Mixing as Sequential Stem Blending
Yen-Tung Yeh, Chung-Jui Chan, Yun-Ning +2
Automatic music mixing, the task of automatically combining individual audio tracks into a cohesive mixture, is typically addressed by parallelized architectures that process all i…
StemFX: Learning Mixing Style Representations via Autoregressive FX Chain Prediction on Source-Separated Stems
Yuan-Chiao Cheng, Jui-Te Wu, Brian Chen +3
Audio mixing style encompasses the artistic and technical decisions a mix engineer makes, including level balancing, spatialization, and the choice, ordering, and parameterization…
How Does Instrumental Music Help SingFake Detection?
Xuanjun Chen, Chia-Yu Hu, I-Ming Lin +8
Although many models exist to detect singing voice deepfakes (SingFake), how these models operate, particularly with instrumental accompaniment, is unclear. We investigate how inst…
Towards Generalizability to Tone and Content Variations in the Transcription of Amplifier Rendered Electric Guitar Audio
Yu-Hua Chen, Yuan-Chiao Cheng, Yen-Tung Yeh +3
Transcribing electric guitar recordings is challenging due to the scarcity of diverse datasets and the complex tone-related variations introduced by amplifiers, cabinets, and effec…
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…