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'm also currently an elected member of the
IEEE AASP Technical Committee.
[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".
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)