About: I am a senior research scientist at Adobe Research. My research interests are at
the intersection of audio signal processing, machine learning, & human-computer interaction.
I received my PhD and MA from CCRMA,
Stanford University and MS in Electrical Eng., also from Stanford. Before that,
I received my Bachelor of Music and BS in Electrical Eng. with summa cum laude,
general, and departmental honors at the U. of Miami-FL.
More recently, I worked on audio algorithms at Apple for 4.5 years before joining Adobe. I
am an elected member of the
IEEE
AASP Technical Committee and will be a general co-chair at WASPAA 2023.
News
[10/2023] IEEE WASPAA 2023 General Co-Chair (w/Minje Kim). [06/2023] IEEE ICASSP 2023 journal presentation of Meta-AF. [05/2023] AES Europe Convention 2023 journal presentation of DeepAFx-ST. [04/2023] IEEE AASP TC EDICS Vice-Chair. [01/2023] IEEE ICASSP 2023 area chair on music signal processing & deep learning. [01/2022] IEEE TASLP Journal paper "Meta-AF: Meta-learning for Adaptive Filters." arXiv | web | code | video
[11/2022] Re-elected to the IEEE SPS AASP Technical Committee (second-term). [09/2022] DeepAFx-ST: Style Transfer of Audio Effects with Differentiable Signal
Processing! arXiv | JAES paper | web | code | video
[09/2022] One paper accepted to IWAENC 2022. [05/2022] One paper accepted to ICASSP 2022. [01/2022] ICASSP 2022 area chair on music signal processing & deep learning.
[11/2021] ISMIR Best
Student Paper Award Winner (co-author) (link). [10/2021] Invited talk at 4th annual WiMIR +
Project Guide (slides). [10/2021] IEEE WASPAA
2021 Special Best Paper Award Winner (link). [07/2021] Two papers accepted to WASPAA 2021. [07/2021] Two papers accepted to ISMIR 2021. [05/2021] Invited panelist at the London Audio and Music AI Meetup. [05/2021] DeepAFx code release here! Third-party audio effects plugins
as differentiable layers within deep neural networks. [05/2021] WASPAA 2021 area chair on music signal processing & deep learning. [03/2021] Three papers accepted to ICASSP 2021.
[12/2020] ICASSP 2021 area and session chair on music signal processing & deep
learning. [10/2020] ISMIR 2020
Best Reviewer Award Winner. [10/2020] Interspeech
Best Student Paper Finalist (link). [07/2020] Two papers accepted to Interspeech 2020. [07/2020] Two papers accepted to ISMIR 2020. [03/2020] Four papers accepted to ICASSP 2020.
[11/2019] One paper accepted to IEEE VR Journal track 2020. [11/2019] Elected to the IEEE Audio and Acoustics Signal Processing (AASP) Technical
Committee (2019-2022).
[08/2018] Joined Adobe Research and started to publish again after 4.5 years at
Apple.
[11/2013] AES Graduate
Student Design Gold Award Winner for my PhD thesis (link). [11/2013] PhD thesis defense on "Interactive Sound Source Separation".
Adobe Internships
For current students, I offer research internships at Adobe Research in San Francisco, CA.
Internships are typically during the summer months and for graduate students studying audio/music
signal processing, machine learning, or related field. If you are interested, please send me an
email with your CV and research interests in October-December before the given summer. My Adobe
webpage is here.
"Metric Learning vs Classification for Disentangled Music Representation
Learning." J. Lee,
N. J. Bryan,
J. Salamon,
Z. JinJ. Nam International Society for Music Information Retrieval (ISMIR), 2020.
(paper
|
arXiv |
web)
"One-Shot Parametric Audio Production Style Transfer With Application to
Frequency Equalization." S. I.
Mimilakis,
N. J. Bryan,
P. Smaragdis IEEE International Conference on Acoustics, Speech, and Signal Processing
(ICASSP), 2020.
(project page |
paper
|
ieee link |
talk)
"Impulse Response Data Augmentation and Deep Neural Networks For Blind Room
Acoustic Parameter Estimation." N. J. Bryan IEEE International Conference on Acoustics, Speech, and Signal Processing
(ICASSP), 2020.
(paper
|
ieee
link |
talk)
"Source Separation of Polyphonic Music With Interactive User-Feedback on a Piano
Roll Display." N. J. Bryan,
G. J. Mysore,
G. Wang International Society for Music Information Retrieval Conference (ISMIR),
2013.
(web | paper)
"An Efficient Posterior Regularized Latent Variable Model for Interactive Sound
Source Separation." N. J. Bryan,
G. J. Mysore International Conference on Machine Learning (ICML), 2013.
(web | paper |
sisec
|
Adobe MAX |
poster |
slides)
"Interactive Refinement of Supervised and Semi-Supervised Sound Source Separation
Estimates." N. J. Bryan,
G. J. Mysore IEEE International Conference on Acoustics, Speech, and Signal Processing
(ICASSP), 2013.
(web | pre-print
|
poster)
"Interactive User-Feedback for Sound Source Separation." N. J. Bryan,
G. J. Mysore International Conf. on Intelligent User-Interfaces, Workshop on Interative
Machine Learning, 2013.
(web | abstract)
"Musical Influence Network Analysis and Rank of Sampled-Based Music." N. J. Bryan,
G. Wang International Society for Music Information Retrieval Conference (ISMIR),
2011.
(paper |
whosampled |
slides)
"Two Turntables and a Mobile Phone." N. J. Bryan,
G. Wang International Conference on New Interfaces for Musical Expression (NIME),
2011.
(paper
|
slides |
web)
"Instinct-Based Mating in Genetic Algorithms Applied to the Tuning of 1-NN
Classifiers." T.
Quirino,
M. Kubat,
N. J. Bryan IEEE Transactions on Knowledge and Data Engineering (TKDE), December, 2010.
(paper)
"Methods For Extending Room Impulse Responses Beyond Their Noise Floor." N. J. Bryan,
J. S. Abel Audio Engineering Society Convention (AES), 2010.
(paper
|
slides
|
web)
"Approximating Measured Reverberation Using A Hybrid Fixed/Switched Convolution
Structure." K. Lee,
N. J. Bryan,
J. S. Abel International Conference on Digital Audio Effects (DAFX), 2010.
(paper
| web)
"Building the Stanford Laptop Orchestra Speaker Arrays." N. J. Bryan,
Stanford University.
Stanford, USA 2009. Link
Press
"Audio Layers." Adobe TV May 8th, 2013.
In collaboration with Gautham Mysore
at Adobe Research.
"Automatic Synchronization of Crowd Sourced Videos." Adobe TV October, 2011.
In collaboration with Gautham Mysore
and Paris Smaragdis at Adobe's Advanced
Technology Labs.
"Smartphone turntables put new spin on DJing." NewScientist, May, 2011.