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Pages
About me
About me
Posts
Block-based Fast Differentiable IIR in PyTorch
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I recently came across a presentation by Andres Ezequiel Viso from GPU Audio at ADC 2022, in which he talked about how they accelerate IIR filters on the GPU. The approach they use is to formulate the IIR filter as a state-space model (SSM) and augment the transition matrix so that each step processes multiple samples at once. The primary speedup stems from the fact that GPUs are very good at performing large matrix multiplications, and the SSM formulation enables us to leverage this capability.
Notes on differentiable TDF-II filter
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This blog is a continuation of some of my early calculations for propagating gradients through general IIR filters, including direct-form and transposed-direct-form.
How to Train Deep NMF Model in PyTorch
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Recently I updated the implementation of PyTorch-NMF to make it be able to scale on large and complex NMF models. In this blog post I will briefly explain how this was done thanks to the automatic differentiation of PyTorch.
music
portfolio
Portfolio item number 1
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Short description of portfolio item number 1
Portfolio item number 2
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Short description of portfolio item number 2
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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talks
NMF in PyTorch
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Introducing the 4A-2A plugin at DMRN+19
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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
This is a description of a teaching experience. You can use markdown like any other post.