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Published: December 19, 2025

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Published: December 19, 2025

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publications

Multi-layered Cepstrum for Instantaneous Frequency Estimation

Published in IEEE Global Conference on Signal and Information Processing (GlobalSIP), 2018

Recommended citation: Chin-Yun Yu and Li Su, "Multi-layered Cepstrum for Instantaneous Frequency Estimation", IEEE Global Conference on Signal and Information Processing, Novermber 2018.
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Harmonic Preserving Neural Networks for Efficient and Robust Multipitch Estimation

Published in Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), 2020

Recommended citation: 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.
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Danna-Sep: Unite to separate them all

Published in Music Demixing Workshop, ISMIR, 2021

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

Published in Frontiers in Signal Processing, 2022

Recommended citation: 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.
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Conditioning and Sampling in Variational Diffusion Models for Speech Super-Resolution

Published in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023

Recommended citation: 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.
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Zero-Shot Duet Singing Voices Separation with Diffusion Models

Published in Sound Demixing Workshop, ISMIR, 2023

Recommended citation: 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.
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Singing Voice Synthesis Using Differentiable LPC and Glottal-Flow-Inspired Wavetables

Published in International Society for Music Information Retrieval Conference (ISMIR), 2023

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

Published in Audio Engineering Society 156th Convention, 2024

Recommended citation: 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.
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Differentiable Time-Varying Linear Prediction in the Context of End-to-End Analysis-by-Synthesis

Published in INTERSPEECH, 2024

Recommended citation: 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.
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Differentiable All-pole Filters for Time-varying Audio Systems

Published in International Conference on Digital Audio Effects (DAFx), 2024

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

Published in Transactions of the International Society for Music Information Retrieval, 2024

Recommended citation: 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.
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Sound Matching an Analogue Levelling Amplifier Using the Newton-Raphson Method

Published in AES International Conference on Artificial Intelligence and Machine Learning for Audio, 2025

Recommended citation: Chin-Yun Yu and György Fazekas, "Sound Matching an Analogue Levelling Amplifier Using the Newton-Raphson Method", AES International Conference on Artificial Intelligence and Machine Learning for Audio, September 2025.
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DiffVox: A Differentiable Model for Capturing and Analysing Vocal Effects Distributions

Published in International Conference on Digital Audio Effects (DAFx), 2025

Recommended citation: Chin-Yun Yu, Marco A. Martínez-Ramírez, Junghyun Koo, Ben Hayes, Wei-Hsiang Liao, György Fazekas and Yuki Mitsufuji, "DiffVox: A Differentiable Model for Capturing and Analysing Vocal Effects Distributions", International Conference on Digital Audio Effects (DAFx), September 2025.
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Improving Inference-Time Optimisation for Vocal Effects Style Transfer with a Gaussian Prior

Published in IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), 2025

Recommended citation: Chin-Yun Yu, Marco A. Martínez-Ramírez, Junghyun Koo, Wei-Hsiang Liao, Yuki Mitsufuji and György Fazekas, "Improving Inference-Time Optimisation for Vocal Effects Style Transfer with a Gaussian Prior", IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), October 2025.
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teaching

Teaching experience 1

Undergraduate course, University 1, Department, 2014

This is a description of a teaching experience. You can use markdown like any other post.

Teaching experience 2

Workshop, University 1, Department, 2015