Nicholas J. Bryan

Research Scientist

San Francisco

Nick is a research scientist and member of the Audio Research Group at Adobe Research in San Francisco. His research interests are at the intersection of signal processing, machine learning, and human-computer interaction.

He received his Ph.D. and M.A. from the Center for Computer Research in Music and Acoustics (CCRMA) at Stanford University and his M.S. in electrical engineering, also at Stanford. He previously worked at Apple for four and half years on audio algorithms and software development prior to joining Adobe in 2018.

Please visit his personal website for a complete list of publications and research topics.

Publications

Impulse Response Data Augmentation and Deep Neural Networks For Blind Room Acoustic Parameter Estimation

Bryan, N. (May. 4, 2020)

IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

Few-Shot Sound Event Detection

Wang, Y., Salamon, J., Bryan, N., Bello, J. (May. 4, 2020)

IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

Disentangled Multidimensional Metric Learning For Music Similarity

Lee, J., Bryan, N., Salamon, J., Jin, Z., Nam, J. (May. 4, 2020)

IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

One-Shot Parametric Audio Production Style Transfer With Application to Frequency Equalization

Mimilakis, S., Bryan, N., Smaragdis, P. (May. 4, 2020)

IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

Scene-Aware Audio Rendering via Deep Acoustic Analysis

Tang, Z., Bryan, N., Li, D., Langlois, T., Manocha, D. (Mar. 23, 2020)

IEEE VR Journal Track (TVCG)

ISSE: An Interactive Source Separation Editor

Bryan, N., Mysore, G., Wang, G. (Apr. 26, 2014)

ACM Human Factors in Computing Systems (CHI)

Source Separation of Polyphonic Music With Interactive User-Feedback on a Piano Roll Display

Bryan, N., Mysore, G., Wang, G. (Nov. 4, 2013)

International Society for Music Information Retrieval Conference (ISMIR)

An Efficient Posterior Regularized Latent Variable Model for Interactive Sound Source Separation

Bryan, N., Mysore, G. (Jun. 16, 2013)

International Conference on Machine Learning (ICML)

Interactive Refinement Of Supervised And Semi-Supervised Sound Source Separation Estimates

Bryan, N., Mysore, G. (May. 1, 2013)

IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

Clustering and Synchronizing Multi-camera Video via Landmark Cross-Correlation

Bryan, N., Smaragdis, P., Mysore, G. (Mar. 25, 2012)

IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

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