Nicholas J. Bryan

65 papers A* 3A 2Misc 10Journal 35Unranked 15
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Generative-First Neural Audio Autoencoder.
CoRR
Jonah Casebeer, Ge Zhu, Zhepei Wang, Nicholas J. Bryan
2026 J jnl
Rethinking Music Captioning with Music Metadata LLMs.
CoRR
Irmak Bukey, Zhepei Wang, Chris Donahue, Nicholas J. Bryan
2026 J jnl
Stemphonic: All-at-once Flexible Multi-stem Music Generation.
CoRR
Shih-Lun Wu, Ge Zhu, Juan Pablo Cáceres, Cheng-Zhi Anna Huang, Nicholas J. Bryan
2026 J jnl
TAC: Timestamped Audio Captioning.
CoRR
Sonal Kumar, Prem Seetharaman, Ke Chen, Oriol Nieto, Jiaqi Su, Zhepei Wang, Rithesh Kumar, Dinesh Manocha, Nicholas J. Bryan, Zeyu Jin, Justin Salamon
2026 J jnl
V2M-Zero: Zero-Pair Time-Aligned Video-to-Music Generation.
CoRR
Yan-Bo Lin, Jonah Casebeer, Long Mai, Aniruddha Mahapatra, Gedas Bertasius, Nicholas J. Bryan
2025 J jnl
DRAGON: Distributional Rewards Optimize Diffusion Generative Models.
CoRR
Yatong Bai, Jonah Casebeer, Somayeh Sojoudi, Nicholas J. Bryan
2025 J jnl
DRAGON: Distributional Rewards Optimize Diffusion Generative Models.
Trans. Mach. Learn. Res.
Yatong Bai, Jonah Casebeer, Somayeh Sojoudi, Nicholas J. Bryan
2025 A* conf
Presto! Distilling Steps and Layers for Accelerating Music Generation.
ICLR
Zachary Novack, Ge Zhu, Jonah Casebeer, Julian J. McAuley, Taylor Berg-Kirkpatrick, Nicholas J. Bryan
2024 — conf
DITTO-2: Distilled Diffusion Inference-Time T-Optimization for Music Generation.
ISMIR
Zachary Novack, Julian J. McAuley, Taylor Berg-Kirkpatrick, Nicholas J. Bryan
2024 J jnl
DITTO-2: Distilled Diffusion Inference-Time T-Optimization for Music Generation.
CoRR
Zachary Novack, Julian J. McAuley, Taylor Berg-Kirkpatrick, Nicholas J. Bryan
2024 A* conf
DITTO: Diffusion Inference-Time T-Optimization for Music Generation.
ICML
Zachary Novack, Julian J. McAuley, Taylor Berg-Kirkpatrick, Nicholas J. Bryan
2024 J jnl
DITTO: Diffusion Inference-Time T-Optimization for Music Generation.
CoRR
Zachary Novack, Julian J. McAuley, Taylor Berg-Kirkpatrick, Nicholas J. Bryan
2024 J jnl
Music ControlNet: Multiple Time-Varying Controls for Music Generation.
IEEE ACM Trans. Audio Speech Lang. Process.
Shih-Lun Wu, Chris Donahue, Shinji Watanabe, Nicholas J. Bryan
2024 J jnl
MusicHiFi: Fast High-Fidelity Stereo Vocoding.
CoRR
Ge Zhu, Juan Pablo Cáceres, Zhiyao Duan, Nicholas J. Bryan
2024 J jnl
MusicHiFi: Fast High-Fidelity Stereo Vocoding.
IEEE Signal Process. Lett.
Ge Zhu, Juan Pablo Cáceres, Zhiyao Duan, Nicholas J. Bryan
2024 J jnl
Presto! Distilling Steps and Layers for Accelerating Music Generation.
CoRR
Zachary Novack, Ge Zhu, Jonah Casebeer, Julian J. McAuley, Taylor Berg-Kirkpatrick, Nicholas J. Bryan
2024 J jnl
Scaling Up Adaptive Filter Optimizers.
CoRR
Jonah Casebeer, Nicholas J. Bryan, Paris Smaragdis
2023 J jnl
Meta-AF: Meta-Learning for Adaptive Filters.
IEEE ACM Trans. Audio Speech Lang. Process.
Jonah Casebeer, Nicholas J. Bryan, Paris Smaragdis
2023 J jnl
Music ControlNet: Multiple Time-varying Controls for Music Generation.
CoRR
Shih-Lun Wu, Chris Donahue, Shinji Watanabe, Nicholas J. Bryan
2022 Misc conf
Don't Separate, Learn To Remix: End-To-End Neural Remixing With Joint Optimization.
ICASSP
Haici Yang, Shivani Firodiya, Nicholas J. Bryan, Minje Kim
2022 J jnl
Meta-AF: Meta-Learning for Adaptive Filters.
CoRR
Jonah Casebeer, Nicholas J. Bryan, Paris Smaragdis
2022 J jnl
Meta-Learning for Adaptive Filters with Higher-Order Frequency Dependencies.
CoRR
Junkai Wu, Jonah Casebeer, Nicholas J. Bryan, Paris Smaragdis
2022 — conf
Meta-Learning for Adaptive Filters with higher-order Frequency Dependencies.
IWAENC
Junkai Wu, Jonah Casebeer, Nicholas J. Bryan, Paris Smaragdis
2022 J jnl
Style Transfer of Audio Effects with Differentiable Signal Processing.
CoRR
Christian J. Steinmetz, Nicholas J. Bryan, Joshua D. Reiss
2021 — conf
Auto-DSP: Learning to Optimize Acoustic Echo Cancellers.
WASPAA
Jonah Casebeer, Nicholas J. Bryan, Paris Smaragdis
2021 J jnl
Auto-DSP: Learning to Optimize Acoustic Echo Cancellers.
CoRR
Jonah Casebeer, Nicholas J. Bryan, Paris Smaragdis
2021 Misc conf
Context-Aware Prosody Correction for Text-Based Speech Editing.
ICASSP
Max Morrison, Lucas Rencker, Zeyu Jin, Nicholas J. Bryan, Juan Pablo Cáceres, Bryan Pardo
2021 J jnl
Context-Aware Prosody Correction for Text-Based Speech Editing.
CoRR
Max Morrison, Lucas Rencker, Zeyu Jin, Nicholas J. Bryan, Juan Pablo Cáceres, Bryan Pardo
2021 — conf
Deep Embeddings and Section Fusion Improve Music Segmentation.
ISMIR
Justin Salamon, Oriol Nieto, Nicholas J. Bryan
2021 Misc conf
Differentiable Signal Processing With Black-Box Audio Effects.
ICASSP
Marco A. Martínez Ramírez, Oliver Wang, Paris Smaragdis, Nicholas J. Bryan
2021 J jnl
Differentiable Signal Processing With Black-Box Audio Effects.
CoRR
Marco A. Martínez Ramírez, Oliver Wang, Paris Smaragdis, Nicholas J. Bryan
2021 — conf
Emotion Embedding Spaces for Matching Music to Stories.
ISMIR
Minz Won, Justin Salamon, Nicholas J. Bryan, Gautham J. Mysore, Xavier Serra
2021 J jnl
Emotion Embedding Spaces for Matching Music to Stories.
CoRR
Minz Won, Justin Salamon, Nicholas J. Bryan, Gautham J. Mysore, Xavier Serra
2021 Misc conf
Few-Shot Continual Learning for Audio Classification.
ICASSP
Yu Wang, Nicholas J. Bryan, Mark Cartwright, Juan Pablo Bello, Justin Salamon
2021 J jnl
Neural Pitch-Shifting and Time-Stretching with Controllable LPCNet.
CoRR
Max Morrison, Zeyu Jin, Nicholas J. Bryan, Juan Pablo Cáceres, Bryan Pardo
2021 J jnl
Neural Remixer: Learning to Remix Music with Interactive Control.
CoRR
Haici Yang, Shivani Firodiya, Nicholas J. Bryan, Minje Kim
2021 — conf
Who Calls The Shots? Rethinking Few-Shot Learning for Audio.
WASPAA
Yu Wang, Nicholas J. Bryan, Justin Salamon, Mark Cartwright, Juan Pablo Bello
2021 J jnl
Who calls the shots? Rethinking Few-Shot Learning for Audio.
CoRR
Yu Wang, Nicholas J. Bryan, Justin Salamon, Mark Cartwright, Juan Pablo Bello
2020 A conf
A Differentiable Perceptual Audio Metric Learned from Just Noticeable Differences.
INTERSPEECH
Pranay Manocha, Adam Finkelstein, Richard Zhang, Nicholas J. Bryan, Gautham J. Mysore, Zeyu Jin
2020 J jnl
A Differentiable Perceptual Audio Metric Learned from Just Noticeable Differences.
CoRR
Pranay Manocha, Adam Finkelstein, Zeyu Jin, Nicholas J. Bryan, Richard Zhang, Gautham J. Mysore
2020 A conf
Controllable Neural Prosody Synthesis.
INTERSPEECH
Max Morrison, Zeyu Jin, Justin Salamon, Nicholas J. Bryan, Gautham J. Mysore
2020 J jnl
Controllable Neural Prosody Synthesis.
CoRR
Max Morrison, Zeyu Jin, Justin Salamon, Nicholas J. Bryan, Gautham J. Mysore
2020 Misc conf
Disentangled Multidimensional Metric Learning for Music Similarity.
ICASSP
Jongpil Lee, Nicholas J. Bryan, Justin Salamon, Zeyu Jin, Juhan Nam
2020 J jnl
Disentangled Multidimensional Metric Learning for Music Similarity.
CoRR
Jongpil Lee, Nicholas J. Bryan, Justin Salamon, Zeyu Jin, Juhan Nam
2020 J jnl
Few-Shot Drum Transcription in Polyphonic Music.
CoRR
Yu Wang, Justin Salamon, Mark Cartwright, Nicholas J. Bryan, Juan Pablo Bello
2020 Misc conf
Few-Shot Sound Event Detection.
ICASSP
Yu Wang, Justin Salamon, Nicholas J. Bryan, Juan Pablo Bello
2020 — conf
Few-shot Drum Transcription in Polyphonic Music.
ISMIR
Yu Wang, Justin Salamon, Mark Cartwright, Nicholas J. Bryan, Juan Pablo Bello
2020 Misc conf
Impulse Response Data Augmentation and Deep Neural Networks for Blind Room Acoustic Parameter Estimation.
ICASSP
Nicholas J. Bryan
2020 J jnl
Metric Learning vs Classification for Disentangled Music Representation Learning.
CoRR
Jongpil Lee, Nicholas J. Bryan, Justin Salamon, Zeyu Jin, Juhan Nam
2020 — conf
Metric learning vs classification for disentangled music representation learning.
ISMIR
Jongpil Lee, Nicholas J. Bryan, Justin Salamon, Zeyu Jin, Juhan Nam
2020 Misc conf
One-Shot Parametric Audio Production Style Transfer with Application to Frequency Equalization.
ICASSP
Stylianos I. Mimilakis, Nicholas J. Bryan, Paris Smaragdis
2020 J jnl
Scene-Aware Audio Rendering via Deep Acoustic Analysis.
IEEE Trans. Vis. Comput. Graph.
Zhenyu Tang, Nicholas J. Bryan, Dingzeyu Li, Timothy R. Langlois, Dinesh Manocha
2019 J jnl
Data Augmentation and Deep Convolutional Neural Networks for Blind Room Acoustic Parameter Estimation.
CoRR
Nicholas J. Bryan
2019 J jnl
Scene-Aware Audio Rendering via Deep Acoustic Analysis.
CoRR
Zhenyu Tang, Nicholas J. Bryan, Dingzeyu Li, Timothy R. Langlois, Dinesh Manocha
2014 A* conf
ISSE: an interactive source separation editor.
CHI
Nicholas J. Bryan, Gautham J. Mysore, Ge Wang
2013 — conf
An Efficient Posterior Regularized Latent Variable Model for Interactive Sound Source Separation.
ICML (3)
Nicholas J. Bryan, Gautham J. Mysore
2013 Misc conf
Interactive refinement of supervised and semi-supervised sound source separation estimates.
ICASSP
Nicholas J. Bryan, Gautham J. Mysore
2013 — conf
Source Separation of Polyphonic Music with Interactive User-Feedback on a Piano Roll Display.
ISMIR
Nicholas J. Bryan, Gautham J. Mysore, Ge Wang
2012 Misc conf
Clustering and synchronizing multi-camera video via landmark cross-correlation.
ICASSP
Nicholas J. Bryan, Paris Smaragdis, Gautham J. Mysore
2011 — conf
Musical Influence Network Analysis and Rank of Sample-Based Music.
ISMIR
Nicholas J. Bryan, Ge Wang
2011 — conf
Two Turntables and a Mobile Phone.
NIME
Nicholas J. Bryan, Ge Wang
2010 — conf
Evolving The Mobile Phone Orchestra.
NIME
Jieun Oh, Jorge Herrera, Nicholas J. Bryan, Luke Dahl, Ge Wang
2010 J jnl
Instinct-Based Mating in Genetic Algorithms Applied to the Tuning of 1-NN Classifiers.
IEEE Trans. Knowl. Data Eng.
Thiago Quirino, Miroslav Kubat, Nicholas J. Bryan
2010 — conf
MoMu: A Mobile Music Toolkit.
NIME
Nicholas J. Bryan, Jorge Herrera, Jieun Oh, Ge Wang
2009 — conf
Stanford Laptop Orchestra (SLOrk).
ICMC
Ge Wang, Nicholas J. Bryan, Jieun Oh, Robert Hamilton