Nicholas J. Bryan

Senior Research Scientist

San Francisco

Nick is a senior 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

Meta-learning for Adaptive Filters with Higher-order Frequency Dependencies

Wu, J., Casebeer, J., Bryan, N., Smaragdis, P. (Sep. 5, 2022)

IEEE International Workshop on Acoustic Signal Enhancement

Style Transfer of Audio Effects with Differentiable Signal Processing

Steinmetz, C., Bryan, N., Reiss, J. (Sep. 1, 2022)

Journal of the Audio Engineering Society

Don’t Separate, Learn to Remix: End-to-End Neural Remixing with Joint Optimization

Yang, H., Firodiya, S., Bryan, N., Kim, M. (May. 22, 2022)

IEEE International Conference on Acoustics, Speech, and Signal Processing

Emotion Embedding Spaces for Matching Music to Stories

Won, M., Salamon, J., Bryan, N., Mysore, G., Serra, X. (Nov. 8, 2021)

Best Student Paper Award

International Society for Music Information Retrieval Conference (ISMIR)

Deep Embeddings and Section Fusion Improve Music Segmentation

Salamon, J., Nieto, O., Bryan, N. (Nov. 8, 2021)

International Society for Music Information Retrieval Conference (ISMIR)

Auto-DSP: Learning to Optimize Acoustic Echo Cancellers

Casebeer, J., Bryan, N., Smaragdis, P. (Oct. 18, 2021)

IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA)

Who Calls the Shots? Rethinking Few-Shot Learning for Audio

Wang, Y., Bryan, N., Salamon, J., Cartwright, M., Bello, J. (Oct. 18, 2021)

Best Audio Few-Shot Learning Paper Award

IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA)

Few-Shot Continual Learning for Audio Classification

Wang, Y., Bryan, N., Cartwright, M., Bello, J., Salamon, J. (Jun. 8, 2021)

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

Differentiable Signal Processing with Black-Box Audio Effects

Ramírez, M., Wang, O., Smaragdis, P., Bryan, N. (Jun. 6, 2021)

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

Context-Aware Prosody Correction for Text-Based Speech Editing

Morrison, M., Rencker, L., Jin, Z., Bryan, N., Caceres, J., Pardo, B. (Jun. 6, 2021)

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

A Differentiable Perceptual Audio Metric Learned from Just Noticeable Differences

Manocha, P., Finkelstein, A., Zhang, R., Bryan, N., Mysore, G., Jin, Z. (Oct. 26, 2020)

Interspeech 2020

Controllable Neural Prosody Synthesis

Morrison, M., Jin, Z., Salamon, J., Bryan, N., Mysore, G. (Oct. 26, 2020)

Interspeech 2020

Metric Learning vs Classification for Disentangled Music Representation Learning

Lee, J., Bryan, N., Salamon, J., Jin, Z., Nam, J. (Oct. 11, 2020)

International Society for Music Information Retrieval Conference (ISMIR)

Few-Shot Drum Transcription in Polyphonic Music

Wang, Y., Salamon, J., Cartwright, M., Bryan, N., Bello, J. (Oct. 11, 2020)

International Society for Music Information Retrieval Conference (ISMIR)

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)

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)

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)

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)

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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