works on

From the 1 of 5 linked papers with an AI index.

activity
20242026
collaborators

5 papers

cs.SD2026

Explicit Note-Event Tokenization and Pitch-Validity Constrained Decoding for MIDI-to-Tablature Transcription

Ting-Kai Hsu, Wei-Chin Wang, Kai-Xi Hong +1

The paper proposes a guitar tablature transcription system that uses explicit note-event tokenization and a pitch‑validity constrained decoding method to improve accuracy, especial…

cs.SD2026

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…

cs.SD2026

UT-AISTimprt submission for ICME 2026 Grand Challenge on Academic Text-to-Music Generation

Shunsuke Yoshida, Yu-Hua Chen, Satoru Fukayama

This work investigates the effect of batch sampling strategies during training for text-to-audio music generation under low-data and small-scale model settings. This paper describe…

cs.SD2025

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…

cs.SD2024

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…