About: 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. During my PhD, I was advised by Prof. Ge Wang with additional work with Prof. J. S. Abel and J. O. Smith III.
I received my Bachelor of Music and BS in Electrical Eng. with summa cum laude honors at the U. of Miami-FL.
Before Adobe, I worked on audio algorithms at Apple for 4.5 years.
[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 (w/M. A. Martínez Ramírez). [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] Awarded an ISMIR 2020 best reviewer award. [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.
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.
"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),
Barcelona, Spain. May, 2020.
ieee link |
"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,
Curitiba, Brazil. November, 2013.
(web | paper)
"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,
Vancouver, Canada. May, 2013.
(web | pre-print |
"Interactive User-Feedback for Sound Source Separation." N. J. Bryan,
G. J. Mysore International Conference on Intelligent User-Interfaces, Workshop on Interative Machine Learning (Extended Abstract/Workshop Paper),
Santa Monica, CA. March, 2013.
(web | abstract)
"Musical Influence Network Analysis and Rank of Sampled-Based Music." N. J. Bryan,
G. Wang In the Proceedings of the 12th International Society for Music Information Retrieval Conference (ISMIR).
Miami, FL, 2011.
"Two Turntables and a Mobile Phone." N. J. Bryan,
G. Wang In the Proceedings of the International Conference on New Interfaces for Musical Expression (NIME).
Oslo, Norway, 2011.
"Instinct-Based Mating in Genetic Algorithms Applied to the Tuning of 1-NN Classifiers." T. Quirino,
N. J. Bryan IEEE Transactions on Knowledge and Data Engineering (TKDE),
"Methods For Extending Room Impulse Responses Beyond Their Noise Floor." N. J. Bryan,
J. S. Abel Presented at the 129th Audio Engineering Society Convention (AES),
San Francisco, November 4-7, 2010.
"Approximating Measured Reverberation Using A Hybrid Fixed/Switched Convolution Structure." K. Lee,
N. J. Bryan,
J. S. Abel In the Proceedings of the 13th International Conference on Digital Audio Effects (DAFX),
Graz, Austria, September 6-10, 2010.
(paper | web)