Yaolong Ju

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 10

Top Topics

Chord Progressions

Training Dataset

Quality Indicators

Top Venues

Publications

Zhiwei Lin, Jun Chen, Boshi Tang, Binzhu Sha, Jing Yang, Yaolong Ju, Fan Fan, Shiyin Kang, Zhiyong Wu, Helen Meng
Multi-view MidiVAE: Fusing Track- and Bar-view Representations for Long Multi-track Symbolic Music Generation. CoRR (2024)
Zhiwei Lin, Jun Chen, Boshi Tang, Binzhu Sha, Jing Yang, Yaolong Ju, Fan Fan, Shiyin Kang, Zhiyong Wu, Helen Meng
Multi-View Midivae: Fusing Track- and Bar-View Representations for Long Multi-Track Symbolic Music Generation. ICASSP (2024)
Yaolong Ju, Chunyang Xu, Yichen Guo, Jinhu Li, Simon Lui
Improving Automatic Singing Skill Evaluation with Timbral Features, Attention, and Singing Voice Separation. ICME (2023)
Yuecheng Zhou, Yaolong Ju, Lingyun Xie
AnimeTAB: A new guitar tablature dataset of anime and game music. CoRR (2022)
Yaolong Ju, Sylvain Margot, Cory McKay, Luke Dahn, Ichiro Fujinaga
Automatic Figured Bass Annotation Using the New Bach Chorales Figured Bass Dataset. ISMIR (2020)
Jacob deGroot-Maggetti, Timothy de Reuse, Laurent Feisthauer, Samuel Howes, Yaolong Ju, Suzuka Kokubu, Sylvain Margot, Néstor Nápoles López, Finn Upham
Data Quality Matters: Iterative Corrections on a Corpus of Mendelssohn String Quartets and Implications for MIR Analysis. ISMIR (2020)
Yaolong Ju, Sylvain Margot, Cory McKay, Ichiro Fujinaga
Automatic Chord Labelling: A Figured Bass Approach. DLfM (2020)
Yaolong Ju, Samuel Howes, Cory McKay, Nathaniel Condit-Schultz, Jorge Calvo-Zaragoza, Ichiro Fujinaga
An Interactive Workflow for Generating Chord Labels for Homorhythmic Music in Symbolic Formats. ISMIR (2019)
Nathaniel Condit-Schultz, Yaolong Ju, Ichiro Fujinaga
A Flexible Approach to Automated Harmonic Analysis: Multiple Annotations of Chorales by Bach and Prætorius. ISMIR (2018)
Yaolong Ju, Nathaniel Condit-Schultz, Claire Arthur, Ichiro Fujinaga
Non-chord Tone Identification Using Deep Neural Networks. DLfM (2017)