CV

Education

Ph.D in Electronic Engineering and Computer Science, Queen Mary University of London, UK, 2022 ~ 2026 (expected)
B.S. in Computer Science, National Chiao Tung University, Taiwan, 2014 ~ 2018

Work experience

Summer 2024 - Winter 2024: Research Intern
- Sony AI, Sony, Tokyo, Japan
- Duties include: differentiable audio processing and audio mixing
- Supervisor: Manager Weih Siang Liao
Winter 2020 - Summer 2022: Backend Engineer
- Backend R&D, Rayark Inc., Taipei, Taiwan
- Duties include: Design and implement mobile game servers
- Supervisor: CTO Alvin
Summer 2019 - Winter 2020: Engineer
- Vive R&D, HTC, New Taipei City, Taiwan
- Duties include: Applying Deep Learning Techniques on HRTF applications
- Supervisor: VP Vasco Choi
2018: Research Assistant
- Institute of Information Science, Academia Sinica, Taipei, Taiwan
- Duties include: Doing Research on NN-based Vocoder Model/Developing End-to-End Music Transcription Model
- Supervisor: Professor Li Su
Summer 2017: Intern
- Institute of Information Science, Academia Sinica, Taipei, Taiwan
- Duties include: Developing Cepstrum-Based Music Transcription System
- Supervisor: Professor Li Su

Skills

Programming Language
- C/C++
- Python
- Golang
- Haskell
Music Information Retrieval
- Multi-Pitch Estimation
- Source Separation
- Voice Generation/Synthesis
Machine Learning
Deep Learning
DSP
Spatial Audio
- Head Related Transfer Functions
Qiskit (Quantum Programming)
Music Production
- Song Writing
- Drums Editing
- Mixing
Musical Instruments
- Piano
- Violin
- Electric Guitar

Demonstration

2025 Semester B, ECS515U - Signals and Systems Theory
- Queen Mary University of London, UK
- Module Organiser: Dr. Maged Elkashlan
2024 Semester B, ECS7006P - Music Informatics
- Queen Mary University of London, UK
- Module Organiser: Prof. Simon Dixon
2023 Semester A, ECS602U/ECS707P - Digital Signal Processing
- Queen Mary University of London, UK
- Module Organiser: Dr. Luk Arnaut

Peer-reviewed

2025
- ICASSP
- ISMIR
- AES AIMLA
2024
- ICASSP
- AAAI
- IEEE TASLP x1
- IEEE SPL x1
2023
- AAAI

Publications

GOLF: A Singing Voice Synthesiser with Glottal Flow Wavetables and LPC Filters

Chin-Yun Yu and György Fazekas, "GOLF: A Singing Voice Synthesiser with Glottal Flow Wavetables and LPC Filters", Transactions of the International Society for Music Information Retrieval, December 2024.

Differentiable All-pole Filters for Time-varying Audio Systems

Chin-Yun Yu, Christopher Mitcheltree, Alistair Carson, Stefan Bilbao, Joshua Reiss and György Fazekas, "Differentiable All-pole Filters for Time-varying Audio Systems", International Conference on Digital Audio Effects, September 2024.

Differentiable Time-Varying Linear Prediction in the Context of End-to-End Analysis-by-Synthesis

Chin-Yun Yu and György Fazekas, "Differentiable Time-Varying Linear Prediction in the Context of End-to-End Analysis-by-Synthesis", Proc. Interspeech, September 2024.

Time-of-arrival estimation and phase unwrapping of head-related transfer functions with integer linear programming

Chin-Yun Yu, Johan Pauwels, and György Fazekas, "Time-of-arrival estimation and phase unwrapping of head-related transfer functions with integer linear programming", Audio Engineering Society Convention 156, June 2024.

Singing Voice Synthesis Using Differentiable LPC and Glottal-Flow-Inspired Wavetables

Chin-Yun Yu and György Fazekas, "Singing Voice Synthesis Using Differentiable LPC and Glottal-Flow-Inspired Wavetables", International Society for Music Information Retrieval Conference, November 2023.

Zero-Shot Duet Singing Voices Separation with Diffusion Models

Chin-Yun Yu, Emilian Postolache, Emanuele Rodolà, and György Fazekas, "Zero-Shot Duet Singing Voices Separation with Diffusion Models", The ISMIR Sound Demixing Workshop, November 2023.

Conditioning and Sampling in Variational Diffusion Models for Speech Super-Resolution

Chin-Yun Yu, Sung-Lin Yeh, György Fazekas, and Hao Tang, "Conditioning and Sampling in Variational Diffusion Models for Speech Super-Resolution", IEEE International Conference on Acoustics, Speech and Signal Processing, June 2023.

Music Demixing Challenge 2021

Y Mitsuji, G Fabbro, S Uhlich, F-R Stöter, A Défossez, M Kim, W Choi, C-Y Yu, K-W Cheuk, "Music Demixing Challenge 2021", Front. Sig. Proc. 1:808395, January 2022.

Danna-Sep: Unite to separate them all

Chin-Yun Yu and Kin-Wai Cheuk, "Danna-Sep: Unite to separate them all", The ISMIR Workshop on Music Source Separation, November 2021.

Harmonic Preserving Neural Networks for Efficient and Robust Multipitch Estimation

Chin-Yun Yu, Jing-Hua Lin, and Li Su, "Harmonic Preserving Neural Networks for Efficient and Robust Multipitch Estimation", Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, December 2020.

Multi-layered Cepstrum for Instantaneous Frequency Estimation

Chin-Yun Yu and Li Su, "Multi-layered Cepstrum for Instantaneous Frequency Estimation", IEEE Global Conference on Signal and Information Processing, Novermber 2018.

Chin-Yun Yu

CV