Nicholas J. Bryan

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 42

Top Topics

Metric Learning

Polyphonic Music

Adaptive Filter

Top Venues

Publications

Ge Zhu, Juan Pablo Cáceres, Zhiyao Duan, Nicholas J. Bryan
MusicHiFi: Fast High-Fidelity Stereo Vocoding. CoRR (2024)
Zachary Novack, Julian J. McAuley, Taylor Berg-Kirkpatrick, Nicholas J. Bryan
DITTO-2: Distilled Diffusion Inference-Time T-Optimization for Music Generation. CoRR (2024)
Zachary Novack, Julian J. McAuley, Taylor Berg-Kirkpatrick, Nicholas J. Bryan
DITTO: Diffusion Inference-Time T-Optimization for Music Generation. CoRR (2024)
Shih-Lun Wu, Chris Donahue, Shinji Watanabe, Nicholas J. Bryan
Music ControlNet: Multiple Time-Varying Controls for Music Generation. IEEE ACM Trans. Audio Speech Lang. Process. 32 (2024)
Jonah Casebeer, Nicholas J. Bryan, Paris Smaragdis
Scaling Up Adaptive Filter Optimizers. CoRR (2024)
Jonah Casebeer, Nicholas J. Bryan, Paris Smaragdis
Meta-AF: Meta-Learning for Adaptive Filters. IEEE ACM Trans. Audio Speech Lang. Process. 31 (2023)
Shih-Lun Wu, Chris Donahue, Shinji Watanabe, Nicholas J. Bryan
Music ControlNet: Multiple Time-varying Controls for Music Generation. CoRR (2023)
Junkai Wu, Jonah Casebeer, Nicholas J. Bryan, Paris Smaragdis
Meta-Learning for Adaptive Filters with higher-order Frequency Dependencies. IWAENC (2022)
Haici Yang, Shivani Firodiya, Nicholas J. Bryan, Minje Kim
Don't Separate, Learn To Remix: End-To-End Neural Remixing With Joint Optimization. ICASSP (2022)
Jonah Casebeer, Nicholas J. Bryan, Paris Smaragdis
Meta-AF: Meta-Learning for Adaptive Filters. CoRR (2022)
Christian J. Steinmetz, Nicholas J. Bryan, Joshua D. Reiss
Style Transfer of Audio Effects with Differentiable Signal Processing. CoRR (2022)
Junkai Wu, Jonah Casebeer, Nicholas J. Bryan, Paris Smaragdis
Meta-Learning for Adaptive Filters with Higher-Order Frequency Dependencies. CoRR (2022)
Minz Won, Justin Salamon, Nicholas J. Bryan, Gautham J. Mysore, Xavier Serra
Emotion Embedding Spaces for Matching Music to Stories. ISMIR (2021)
Marco A. Martínez Ramírez, Oliver Wang, Paris Smaragdis, Nicholas J. Bryan
Differentiable Signal Processing With Black-Box Audio Effects. ICASSP (2021)
Yu Wang, Nicholas J. Bryan, Mark Cartwright, Juan Pablo Bello, Justin Salamon
Few-Shot Continual Learning for Audio Classification. ICASSP (2021)
Jonah Casebeer, Nicholas J. Bryan, Paris Smaragdis
Auto-DSP: Learning to Optimize Acoustic Echo Cancellers. CoRR (2021)
Yu Wang, Nicholas J. Bryan, Justin Salamon, Mark Cartwright, Juan Pablo Bello
Who Calls The Shots? Rethinking Few-Shot Learning for Audio. WASPAA (2021)
Haici Yang, Shivani Firodiya, Nicholas J. Bryan, Minje Kim
Neural Remixer: Learning to Remix Music with Interactive Control. CoRR (2021)
Jonah Casebeer, Nicholas J. Bryan, Paris Smaragdis
Auto-DSP: Learning to Optimize Acoustic Echo Cancellers. WASPAA (2021)
Max Morrison, Zeyu Jin, Nicholas J. Bryan, Juan Pablo Cáceres, Bryan Pardo
Neural Pitch-Shifting and Time-Stretching with Controllable LPCNet. CoRR (2021)
Yu Wang, Nicholas J. Bryan, Justin Salamon, Mark Cartwright, Juan Pablo Bello
Who calls the shots? Rethinking Few-Shot Learning for Audio. CoRR (2021)
Marco A. Martínez Ramírez, Oliver Wang, Paris Smaragdis, Nicholas J. Bryan
Differentiable Signal Processing With Black-Box Audio Effects. CoRR (2021)
Max Morrison, Lucas Rencker, Zeyu Jin, Nicholas J. Bryan, Juan Pablo Cáceres, Bryan Pardo
Context-Aware Prosody Correction for Text-Based Speech Editing. ICASSP (2021)
Minz Won, Justin Salamon, Nicholas J. Bryan, Gautham J. Mysore, Xavier Serra
Emotion Embedding Spaces for Matching Music to Stories. CoRR (2021)
Max Morrison, Lucas Rencker, Zeyu Jin, Nicholas J. Bryan, Juan Pablo Cáceres, Bryan Pardo
Context-Aware Prosody Correction for Text-Based Speech Editing. CoRR (2021)
Justin Salamon, Oriol Nieto, Nicholas J. Bryan
Deep Embeddings and Section Fusion Improve Music Segmentation. ISMIR (2021)
Yu Wang, Justin Salamon, Mark Cartwright, Nicholas J. Bryan, Juan Pablo Bello
Few-shot Drum Transcription in Polyphonic Music. ISMIR (2020)
Yu Wang, Justin Salamon, Mark Cartwright, Nicholas J. Bryan, Juan Pablo Bello
Few-Shot Drum Transcription in Polyphonic Music. CoRR (2020)
Pranay Manocha, Adam Finkelstein, Zeyu Jin, Nicholas J. Bryan, Richard Zhang, Gautham J. Mysore
A Differentiable Perceptual Audio Metric Learned from Just Noticeable Differences. CoRR (2020)
Jongpil Lee, Nicholas J. Bryan, Justin Salamon, Zeyu Jin, Juhan Nam
Metric Learning vs Classification for Disentangled Music Representation Learning. CoRR (2020)
Yu Wang, Justin Salamon, Nicholas J. Bryan, Juan Pablo Bello
Few-Shot Sound Event Detection. ICASSP (2020)
Pranay Manocha, Adam Finkelstein, Richard Zhang, Nicholas J. Bryan, Gautham J. Mysore, Zeyu Jin
A Differentiable Perceptual Audio Metric Learned from Just Noticeable Differences. INTERSPEECH (2020)
Max Morrison, Zeyu Jin, Justin Salamon, Nicholas J. Bryan, Gautham J. Mysore
Controllable Neural Prosody Synthesis. INTERSPEECH (2020)
Zhenyu Tang, Nicholas J. Bryan, Dingzeyu Li, Timothy R. Langlois, Dinesh Manocha
Scene-Aware Audio Rendering via Deep Acoustic Analysis. IEEE Trans. Vis. Comput. Graph. 26 (5) (2020)
Jongpil Lee, Nicholas J. Bryan, Justin Salamon, Zeyu Jin, Juhan Nam
Disentangled Multidimensional Metric Learning for Music Similarity. ICASSP (2020)
Jongpil Lee, Nicholas J. Bryan, Justin Salamon, Zeyu Jin, Juhan Nam
Metric learning vs classification for disentangled music representation learning. ISMIR (2020)
Max Morrison, Zeyu Jin, Justin Salamon, Nicholas J. Bryan, Gautham J. Mysore
Controllable Neural Prosody Synthesis. CoRR (2020)
Stylianos I. Mimilakis, Nicholas J. Bryan, Paris Smaragdis
One-Shot Parametric Audio Production Style Transfer with Application to Frequency Equalization. ICASSP (2020)
Nicholas J. Bryan
Impulse Response Data Augmentation and Deep Neural Networks for Blind Room Acoustic Parameter Estimation. ICASSP (2020)
Jongpil Lee, Nicholas J. Bryan, Justin Salamon, Zeyu Jin, Juhan Nam
Disentangled Multidimensional Metric Learning for Music Similarity. CoRR (2020)
Nicholas J. Bryan
Data Augmentation and Deep Convolutional Neural Networks for Blind Room Acoustic Parameter Estimation. CoRR (2019)
Zhenyu Tang, Nicholas J. Bryan, Dingzeyu Li, Timothy R. Langlois, Dinesh Manocha
Scene-Aware Audio Rendering via Deep Acoustic Analysis. CoRR (2019)
Nicholas J. Bryan, Gautham J. Mysore, Ge Wang
ISSE: an interactive source separation editor. CHI (2014)
Nicholas J. Bryan, Gautham J. Mysore
Interactive refinement of supervised and semi-supervised sound source separation estimates. ICASSP (2013)
Nicholas J. Bryan, Gautham J. Mysore, Ge Wang
Source Separation of Polyphonic Music with Interactive User-Feedback on a Piano Roll Display. ISMIR (2013)
Nicholas J. Bryan, Gautham J. Mysore
An Efficient Posterior Regularized Latent Variable Model for Interactive Sound Source Separation. ICML (3) (2013)
Nicholas J. Bryan, Paris Smaragdis, Gautham J. Mysore
Clustering and synchronizing multi-camera video via landmark cross-correlation. ICASSP (2012)
Nicholas J. Bryan, Ge Wang
Musical Influence Network Analysis and Rank of Sample-Based Music. ISMIR (2011)
Nicholas J. Bryan, Ge Wang
Two Turntables and a Mobile Phone. NIME (2011)
Jieun Oh, Jorge Herrera, Nicholas J. Bryan, Luke Dahl, Ge Wang
Evolving The Mobile Phone Orchestra. NIME (2010)
Thiago Quirino, Miroslav Kubat, Nicholas J. Bryan
Instinct-Based Mating in Genetic Algorithms Applied to the Tuning of 1-NN Classifiers. IEEE Trans. Knowl. Data Eng. 22 (12) (2010)
Nicholas J. Bryan, Jorge Herrera, Jieun Oh, Ge Wang
MoMu: A Mobile Music Toolkit. NIME (2010)
Ge Wang, Nicholas J. Bryan, Jieun Oh, Robert Hamilton
Stanford Laptop Orchestra (SLOrk). ICMC (2009)