About
I am a PhD researcher working with Prof. Joshua D. Reiss within the Centre for Digital Music at Queen Mary University of London. I research applications of generative AI and machine learning in audio and my PhD focuses on audio enhancement and automatic control of DSP. I have worked on a wide range of tasks including neural audio effects, audio synthesis, style transfer, room acoustics, self-supervised audio representations, automatic mixing and mastering, speech enhancement, source separation, beat tracking, and neural audio fingerprinting.
I was a research intern at Adobe, Meta, Dolby, Bose, and others. I have published in PMLR, NeurIPS, ICASSP, WASPAA (Best Paper x2), DAFx, and JAES, and won awards for my audio plugins at IEEE and AES. In addition, I have submitted a number of patents related to deep learning systems for audio processing.
Always open to collaboration • You can reach me at c.j.steinmetz@qmul.ac.uk
Education
Queen Mary University of London
PhD in Artificial Intelligence and Music
Advisors: Joshua D. Reiss and Shanxin Yuan
Fall 2024
Clemson University
B.S. in Electrical Engineering
B.A. in Production Studies in Performing Arts with a Concentration in Audio Technology
Minor in Mathematical Sciences
Advisor: Carl Baum
Spring 2019
Experience
Suno
Research Scientist
Apirl 2024 - Present
Adobe Research
Research Scientist Intern
Advisors: Nick J. Bryan, Simon Jenni, John Collomosse
June 2022 - September 2022
Meta | Reality Labs
Research Scientist Intern
Advisors: Paul Calamia and Vamsi Krishna Ithapu
June 2020 - November 2020
Dolby Laboratories
Research Intern
Advisors: Joan Serrà, Jordi Pons, Santiago Pascual
January 2020 - June 2020
Clemson University
Audio Assistant
Fall 2017 - Spring 2019
Cirrus Logic, Inc.
Mixed Signal Audio Applications Engineer Intern
Summer 2017 & Summer 2018
WSBF-FM Clemson Radio Station
Chief Engineer
Fall 2016 - Spring 2019
Equipment Engineer
Fall 2016 - Spring 2019
Producer & Live Sound Engineer
Fall 2015 - Fall 2018
Vertronix Research Corporation
Electrical Engineering Intern
Summer 2014, 2015, & 2016
Publications
*co-first authorship
2024
ST-ITO: Controlling Audio Effects for Style Transfer with Inference-time Optimization
Christian J. Steinmetz, Shubhr Singh, Marco Comunità, Ilias Ibnyahya, Shanxin Yuan, Emmanouil Benetos, Joshua D. Reiss
International Society for Music Information Retrieval (ISMIR). November 2024
[ arXiv ] [ Demo ] [ Code ] ( Best Paper Award )
Diff-MST: Differentiable Mixing Style Transfer
Soumya Sai Vanka*, Christian J. Steinmetz*, Jean-Baptiste Rolland, Joshua Reiss, George Fazekas
International Society for Music Information Retrieval (ISMIR). November 2024
[ arXiv ] [ Demo ] [ Code ]
Modeling Analog Dynamic Range Compressors using Deep Learning and State-space Models
Hanzhi Yin, Gang Cheng, Christian J. Steinmetz, Ruibin Yuan, Richard M. Stern, Roger B. Dannenberg
Preprint. March 2024
[ arXiv ] [ Demo ]
ATGNN: Audio Tagging Graph Neural Network
Shubhr Singh, Christian J. Steinmetz, Emmanouil Benetos, Huy Phan, Dan Stowell
IEEE Signal Processing Letters. January 2024
[ arXiv ]
2023
High-Fidelity Noise Reduction with Differentiable Signal Processing
Christian J. Steinmetz, Thomas Walther Joshua D. Reiss
155th Convention of the Audio Engineering Society (AES). October 2023
[ arXiv ] [ Product ] [ Video ] [ Blog ]
General Purpose Audio Effect Removal
Matthew Rice*, Christian J. Steinmetz*, George Fazekas, Joshua D. Reiss
IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA). October 2023
[ arXiv ] [ Demo ] [ Code ] [ Video ] [ Dataset ] [ Demo ] ( Best Paper Award )
Modulation Extraction for LFO-Driven Audio Effects
Christopher Mitcheltree, Christian J. Steinmetz, Marco Comunità, Joshua D. Reiss
26th International Conference on Digital Audio Effects (DAFx). May 2023
[ arXiv ] [ Demo ] [ Code ] [ Video ]
Leveraging Neural Representations for Audio Manipulation
Scott H. Hawley and Christian J. Steinmetz
154th Convention of the Audio Engineering Society. May 2023
[ arXiv ] [ Demo ]
2022
Modelling black-box audio effects with time-varying feature modulation
Marco Comunità, Christian J. Steinmetz, Huy Phan, Joshua D. Reiss
Under Review. IEEE Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP). November 2022
[ arXiv ] [ Demo ] [ Code ] [ Video ]
Style transfer of audio effects with differentiable signal processing
Christian J. Steinmetz, Nicholas J. Bryan, Joshua D. Reiss
To appear in the Journal of the Audio Engineering Society (JAES). September 2022
[ arXiv ] [ Demo ] [ Code ] [ Video ] [ Slides ]
Efficient neural networks for real-time modeling of analog dynamic range compression
Christian J. Steinmetz and Joshua D. Reiss
152nd Convention of the Audio Engineering Society. May 2022
[ arXiv ] [ Demo ] [ Code ] [ Video ] [ Slides ]
Direct design of biquad filter cascades with deep learning by sampling random polynomials
Joseph T. Colonel*, Christian J. Steinmetz*, Marcus Michelen, Joshua D. Reiss
IEEE Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP). May 2022
[ arXiv ] [ Code ] [ Demo ] [ Video ] [ Slides ]
HEAR 2021: Holistic Evaluation of Audio Representations
Joseph Turian, Jordie Shier, Humair Raj Khan, Bhiksha Raj, Björn W. Schuller, Christian J. Steinmetz, Colin Malloy, George Tzanetakis, Gissel Velarde, Kirk McNally, Max Henry, Nicolas Pinto, Camille Noufi, Christian Clough, Dorien Herremans, Eduardo Fonseca, Jesse Engel, Justin Salamon, Philippe Esling, Pranay Manocha, Shinji Watanabe, Zeyu Jin, Yonatan Bisk
Proceedings of Machine Learning Research (PMLR): NeurIPS 2021 Competition Track. March 2022
[ arXiv ] [ Code ] [ Web ] [ Talks ]
2021
Steerable discovery of neural audio effects
Christian J. Steinmetz and Joshua D. Reiss
5th Workshop on Machine Learning for Creativity and Design at NeurIPS. December 2021
[ arXiv ] [ Code ] [ Demo ] [ Video ] [ Slides ]
WaveBeat: End-to-end beat and downbeat tracking in the time domain
Christian J. Steinmetz and Joshua D. Reiss
151st Convention of the Audio Engineering Society. October 2021
[ arXiv ] [ Code ] [ Video ] [ Slides ]
Filtered noise shaping for time domain room impulse response estimation from reverberant speech
Christian J. Steinmetz, Vamsi Krishna Ithapu and Paul Calamia
IEEE Workshop on Applications of Signal Processing to Audio and Acoustics. October 2021
[ arXiv ] [ Demo ] [ Video ] [ Slides ] ( Best Student Paper Award )
pyloudnorm: A simple yet flexible loudness meter in Python
Christian J. Steinmetz and Joshua D. Reiss
150th Convention of the Audio Engineering Society. May 2021
[ PDF ] [ Package ] [ Code ] [ Video ] [ Slides ] [ Blog ]
Automatic multitrack mixing with a differentiable mixing console of neural audio effects
Christian J. Steinmetz, Jordi Pons, Santiago Pascual, Joan Serrà
IEEE Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP). June 2021.
[ arXiv ] [ Code ] [ Demo ] [ Video ] [ Slides ]
2020
auraloss: Audio-focused loss functions in PyTorch
Christian J. Steinmetz and Joshua D. Reiss
Digital Music Research Network Workshop (DMRN+15). December 2020.
[ PDF ] [ Code ]
Randomized overdrive neural networks
Christian J. Steinmetz, Joshua D. Reiss
4th Workshop on Machine Learning for Creativity and Design at NeurIPS. December 2020.
[ arXiv ] [ Code ] [ Demo ] [ Talk ] [ Slides ] [ Blog ]
Theses
Learning to mix using neural audio effects in the waveform domain
Christian J. Steinmetz
MSc Thesis, Music Technology Group, Universitat Pompeu Fabra, Barcelona. September 2020.
[ Zenodo ]
Patents
System for automated multitrack mixing
Christian J. Steinmetz and Joan Serrà
Patent ES-P202030604 (Jun 22, 2020), EP-21731213.1 (Jun 16, 2021), JP-2022-578976 (Jun 16, 2021), US-18/012245 (Jun 16, 2021)
[ gpatents ]
Talks
Controlling Signal Processing Devices with Deep Learning
Invited talk @ Bose Research. January 2024
[ Slides ]
dasp: Differentiable Audio Signal Processors
Keynote @ SDX Workshop at ISMIR. November 2023
[ Web ] [ Slides ]
AI Town Hall by the AES Technical Comittee on Machine Learning and AI
Panelist @ 155th Convention of the Audio Engineering Society. October 2023
[ Web ]
AI Music Tools & Services: A status quo of what’s available right now
Panelist @ Reeperbahn Festival Conference. September 2023
[ Web ]
dasp: Differentiable Audio Signal Processors
Invited talk @ Neural DSP. May 2023
[ Slides ]
Controlling Audio Effects with Deep Learning
NYU MARL Seminar Series. March 2023
[ Slides ]
Style Transfer of Audio Effects with Differentiable Signal Processing
Stanford CCRMA DSP Seminar Series. November 2022
[ Slides ] [ Video ] [ Webpage ]
Audio Production Style Transfer with DeepAFx-ST
Harmonai Hangouts @ Stability AI. September 2022
[ Slides ] [ Video ]
Style Transfer of Audio Effects with Differentiable Signal Processing
Sonos Seminar Series. September 2022
[ Slides ]
Style Transfer of Audio Effects with Differentiable Signal Processing
Invited Talk @ Mitsubishi Electric Research Labs (MERL). September 2022
[ Slides ]
Style Transfer of Audio Effects with Differentiable Signal Processing
Music + AI Reading Group @ MILA. August 2022
[ Slides ] [ Video ]
Neural Audio Effects
The Audio Programmer (TAP) Meetup. July 2022
[ Slides ] [ Video ]
Differentiable Signal Processing for Audio Engineering
AI and Music Centre for Doctoral Training EAB Meeting. June 2022
[ Slides ]
Style Transfer of Audio Effects with Differentiable Signal Processing
Invited Talk @ Adobe Research. July 2022
AI for the Future of Music Production
Día de la Producción Musical @ Tecnológico de Monterrey. December 2021
[ Slides ]
Deep Learning for Automatic Mixing: Challenges and Next Steps
Music Demixing (MDX) Workshop at ISMIR. November 2021
[ Slides ] [ Video ] [ PDF ]
Artificial Intelligence, Machine Learning, & The Future of Music as We Know It!
Attack & Release Podcast. July 2021
[ Audio ] [ Notes ]
Deep Learning Approaches to Multitrack Mixing
AES Symposium: Applications of Machine Learning in Audio. November 2020
[ Slides ] [ Video ]
flowEQ: Using machine learning and MATLAB to build an intelligent EQ plugin
The Audio Programmer (TAP) Meetup. April 2020
[ Video ]
Applications of Machine Learning for Creative and Assistive Audio Plugins
Invited Talk @ Dolby Labs, Barcelona. November 2019
[ Slides ]
How Algorithms Help You Discover Your Next Song
Speaker at TEDx Clemson University. April 2019
[ Video ]
Tutorials
AI for multitrack music mixing
Soumya Sai Vanka, Christian J. Steinmetz, Gary Bromham, Marco A. Martínez Ramírez, Brecht De Man,
Workshop at 155th Audio Engineering Society Convention. October 2023
[ Web ] [ Code ] [ Slides ] [ Video ]
Deep learning for automatic mixing
Christian J. Steinmetz, Soumya Sai Vanka, Gary Bromham, Marco A. Martínez Ramírez
Tutorial at 23rd International Society for Music Information Retrieval Conference (ISMIR). December 2022
[ arXiv ] [ Web ] [ Code ] [ Slides ] [ Video ]
Audio Tech Talk Series
Department of Audio Engineering @ Clemson University. Spring 2019
[ Slides ]
Press
TechCrunch - Tape It’s software for musicians aims to deliver studio-quality noise reduction via AI
[ Article ]
Ableton Blog - AI and Music-Making: The State of Play
[ Article ]
Service
Conference Reviewer
International Conference on Machine Learning (ICML), 2023, 2024
Neural Information Processing Systems (NeurIPS), 2023
Neural Information Processing Systems (NeurIPS) Competition Track, 2022
IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), 2023
International Society for Music Information Retrieval (ISMIR) Conference, 2021, 2022, 2023
Convention of the Audio Engineering Society (AES), 152nd, 153rd, 154th, 155th, 156th
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023 (Outstanding Reviewer), 2024
Journal Reviewer
Journal of the Audio Engineering Society (JAES), 2022, 2023
EURASIP Journal on Audio, Speech, and Music Processing, 2023, 2024
IEEE Signal Processing Letters, 2022
Music & Science, 2021
Organizer
Neural Audio Plugin (NAP) Competition, 2023 [ web ]
Member, AES Technical Committee: Machine Learning and Artificial Intelligence , 2021 - Present
Member, HEAR 2021 NeurIPS Challenge: Holistic Evaluation of Audio Representations [ web ]
Awards
Best Paper Award at WASPAA 2023
General Purpose Audio Effect Removal. Fall 2023
Best Student Paper Award at WASPAA 2021
Filtered Noise Shaping for Time Domain Room Impulse Response Estimation From Reverberant Speech. Fall 2019
Gold Award at AES MATLAB Student Plugin Competition
flowEQ [ Webpage ] Fall 2019
Silver Award at AES MATLAB Student Plugin Competition
NeuralReveberator [ Webpage ] Fall 2018
KEMET Electrical and Computer Engineering Senior Design Award
Autonomous Air Hockey Robot [ Webpage ] Fall 2018
1st Place at IEEE SoutheastCon Student Paper Competition
Phase Analysis Plugin [ Webpage ] Spring 2018
1st Place at Clemson University IEEE Student Paper Competition
Phase Analysis Plugin [ Webpage ] Spring 2018
Finalist at AES Student Design Competition
Phase Analysis Plugin [ Webpage ] Fall 2017
Overall Student Media Contribution Award
WSBF Live Sessions [ Webpage ] Spring 2017
Hackathons
Judge at Timbre Tools Hackathon
February 2024 [ Webpage ]
Judge at CUhackit
Spring 2021
First Place at r/ProgrammerHumor Hackathon
findio [ Webpage ] Summer 2019
Domain.com Award at CUhackit
CUparkit [ Webpage ] Spring 2019
Mentor at CUhackit: Hello World
Spring 2019
Best Cloud Based Hack at CUhackit
auxCord [ Webpage ] Spring 2018
Participant at HackGT 4: New Heights
Recipe Revealer [ Webpage ] Fall 2018
Scholarships
UKRI Centre for Doctoral Training in Artificial Intelligence and Music (AIM) Studentship
Fall 2020 to Fall 2024
Audio Engineering Society Genelec Ilpo Martikainen Audio Visionary Scholar
Fall 2019 to Summer 2020
Audio Engineering Society Mary Lea Simpson Memorial Scholarship
Fall 2018 to Spring 2019
Charles C Kanapaux Scholarship
Fall 2015 to Spring 2019
Alan McCrary Johnstone Scholarship
Fall 2017 to Spring 2018
Cephus W Long Engineering Scholarship
Fall 2017 to Spring 2018
Carpenter Endowed Engineering Scholarship
Fall 2015 to Spring 2016
SC LIFE STEM Enhancement Scholarship
Fall 2015 to Spring 2018
SC LIFE Scholarship
Fall 2014 to Spring 2018
National Merit Corporate Scholarship
Fall 2014 to Fall 2018
Heritage Classic Foundation Scholarship
Fall 2014 to Spring 2018
Jeff Kanton Memorial Scholarship
Fall 2014
Richard R. Moore Scholarship
Fall 2014
Rotary Club of Hilton Head Island Scholarship
Fall 2014
Hilton Head Area Home Builders Association Scholarship
Fall 2014
Relevant Coursework
Math
Linear Algebra, Linear Programming, Ordinary Differential Equations, Time Series Analysis, Discrete Math Structures, Machine Learning I & II
Audio/Music
Acoustics of Music, Advanced Sound Reinforcement, History of Audio Technology, Audio Engineering I & II, Introduction to Digital Audio Effects, Computational Music Creativity, Music Information Retrieval, Music Perception and Cognition, Deep Learning for Audio and Music, Music Informatics, Music and Audio Programming, Audio Signal Processing for Music
Signal Processing
Random Signal Analysis, Signals and Systems, Digital Signal Processing, Communication Systems, Linear Control Systems