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About Me

    I'm a Ph.D. student at the Institute for Computational Perception @ JKU, working with Univ.-Prof. Gerhard Widmer.
    Previously a master's student from the Music Informatics Group at Georgia Tech, advised by Prof. Alexander Lerch, and a research assistant at the Academia Sinica in Taiwan, working with Dr. Yi-Hsuan Yang.
    My research focuses on computational methods for a better understanding of expressive performances, symbolic representaion, and the underlying emotions. I aim for machines to serve as a guide and tool for the comprehension of musical context within the field of music information retrieval and generation.


    #MIR    #Emotion Recognition    #Symbolic Representation

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Education

2024 - Now
Institute of Computational Perception, JKU Linz
Ph.D. in Computer Science

   Research Topic: Music Expressivity and Emotion Recognition

2021 - 2023
Georgia Institute of Technology
M.S. Music Technology

   Research Topic: Piano Sustain Pedal Recognition, Melody Extraction

   Related Courses: Audio Content Analysis, DSP, Music Perception & Cognition, Stat ML

2015 - 2019
The University of Texas at Austin
B.M. Music Performance

   Related Courses: Music Theory, Elements of Software Engineering, Data Science

Work Experience

2024.5-2024.8
Machine Learning Engineer & Full Stack Developer
Melception

#Automatic Generation    #Full Stack Development

2022.6-2022.8
Research Intern
Pandora | SiriusXM

#Recommendation System    #Music Information Retrieval    #Data Analysis

2019.8-2021.8
Research Assistant
Academia Sinica

#Automatic Generation    #Music Emotion Recognition    #Loop Auto-tagging    #Composer Classification

Publications

Language Models for Music Medicine Generation
Emmanouil Nikolakakis, Joann Ching, Emmanouil Karystinaios, Gabrielle Sipin, Gerhard Widmer, Razvan Marinescu

arXiv preprint arXiv:2411.09080. 2024.

arXiv  
Learning to Generate Piano Music with Sustain Pedals
Joann Ching, Yi-Hsuan Yang

arXiv preprint arXiv:2111.01216. 2021.

arXiv   code
MidiBERT-Piano: Large-scale Pre-training for Symbolic Music Understanding
Yi-Hui Chou, I-Chun Chen, Chin-Jui Chang, Joann Ching, Yi-Hsuan Yang

arXiv preprint arXiv:2107.05223. 2021.

arXiv   code
EMOPIA: A Multi-Modal Pop Piano Dataset For Emotion Recognition and Emotion-based Music Generation
Hsiao-Tzu Hung, Joann Ching, Seungheon Doh, Nabin Kim, Juhan Nam, Yi-Hsuan Yang

Proceedings of the 21st International Society for Music Information Retrieval Conference (ISMIR). 2021.

arXiv   code
Source Separation-Based Data Augmentation Techniques for Improved Joint Beat and Downbeat Tracking In Classical Music
Ching-Yu Chiu, Joann Ching, Wen-Yi Hsiao, Yu-Hua Chen, Alvin Wen-Yu Su, Yi-Hsuan Yang

European Signal Processing Conference (EUSIPCO). 2021.

arXiv   code
Instrument Role Classification: Auto-tagging for Loop Based Music
Joann Ching, Antonio Ramires, Yi-Hsuan Yang

Joint Conference on AI Music Creativity (CSMC+MuMe). 2020.

code
The Freesound Loop Dataset and Annotation Tool
Antonio Ramires, Frederic Font, Dmitry Bogdanov, Jordan B. L. Smith, Yi-Hsuan Yang, Joann Ching, Bo-Yu Chen, Yueh-Kao Wu, Hsu Wei-Han, Xavier Serra

Proceedings of the 21st International Society for Music Information Retrieval Conference (ISMIR). 2020.

arXiv   documentation