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ORCIDNicholas J. Bryan
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2020 – today
- 2024
[j5]Ge Zhu
, Juan Pablo Cáceres, Zhiyao Duan, Nicholas J. Bryan:
MusicHiFi: Fast High-Fidelity Stereo Vocoding. IEEE Signal Process. Lett. 31: 2365-2369 (2024)- [j4]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: 2692-2703 (2024) - [c28]Zachary Novack, Julian J. McAuley, Taylor Berg-Kirkpatrick, Nicholas J. Bryan:
DITTO: Diffusion Inference-Time T-Optimization for Music Generation. ICML 2024 - [i22]Zachary Novack, Julian J. McAuley, Taylor Berg-Kirkpatrick, Nicholas J. Bryan:
DITTO: Diffusion Inference-Time T-Optimization for Music Generation. CoRR abs/2401.12179 (2024) - [i21]Jonah Casebeer, Nicholas J. Bryan, Paris Smaragdis:
Scaling Up Adaptive Filter Optimizers. CoRR abs/2403.00977 (2024) - [i20]Ge Zhu, Juan Pablo Cáceres, Zhiyao Duan, Nicholas J. Bryan:
MusicHiFi: Fast High-Fidelity Stereo Vocoding. CoRR abs/2403.10493 (2024) - [i19]Zachary Novack, Julian J. McAuley, Taylor Berg-Kirkpatrick, Nicholas J. Bryan:
DITTO-2: Distilled Diffusion Inference-Time T-Optimization for Music Generation. CoRR abs/2405.20289 (2024) - 2023
- [j3]Jonah Casebeer, Nicholas J. Bryan, Paris Smaragdis:
Meta-AF: Meta-Learning for Adaptive Filters. IEEE ACM Trans. Audio Speech Lang. Process. 31: 355-370 (2023) - [i18]Shih-Lun Wu, Chris Donahue, Shinji Watanabe, Nicholas J. Bryan:
Music ControlNet: Multiple Time-varying Controls for Music Generation. CoRR abs/2311.07069 (2023) - 2022
- [c27]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: 116-120 - [c26]Junkai Wu, Jonah Casebeer, Nicholas J. Bryan, Paris Smaragdis:
Meta-Learning for Adaptive Filters with higher-order Frequency Dependencies. IWAENC 2022: 1-5 - [i17]Jonah Casebeer, Nicholas J. Bryan, Paris Smaragdis:
Meta-AF: Meta-Learning for Adaptive Filters. CoRR abs/2204.11942 (2022) - [i16]Christian J. Steinmetz, Nicholas J. Bryan, Joshua D. Reiss:
Style Transfer of Audio Effects with Differentiable Signal Processing. CoRR abs/2207.08759 (2022) - [i15]Junkai Wu, Jonah Casebeer, Nicholas J. Bryan, Paris Smaragdis:
Meta-Learning for Adaptive Filters with Higher-Order Frequency Dependencies. CoRR abs/2209.09955 (2022) - 2021
- [c25]Marco A. Martínez Ramírez, Oliver Wang, Paris Smaragdis, Nicholas J. Bryan:
Differentiable Signal Processing With Black-Box Audio Effects. ICASSP 2021: 66-70 - [c24]Yu Wang, Nicholas J. Bryan, Mark Cartwright, Juan Pablo Bello, Justin Salamon:
Few-Shot Continual Learning for Audio Classification. ICASSP 2021: 321-325 - [c23]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: 7038-7042 - [c22]Justin Salamon, Oriol Nieto, Nicholas J. Bryan:
Deep Embeddings and Section Fusion Improve Music Segmentation. ISMIR 2021: 594-601 - [c21]Minz Won, Justin Salamon, Nicholas J. Bryan, Gautham J. Mysore, Xavier Serra:
Emotion Embedding Spaces for Matching Music to Stories. ISMIR 2021: 777-785 - [c20]Yu Wang, Nicholas J. Bryan, Justin Salamon, Mark Cartwright, Juan Pablo Bello:
Who Calls The Shots? Rethinking Few-Shot Learning for Audio. WASPAA 2021: 36-40 - [c19]Jonah Casebeer, Nicholas J. Bryan, Paris Smaragdis:
Auto-DSP: Learning to Optimize Acoustic Echo Cancellers. WASPAA 2021: 291-295 - [i14]Max Morrison, Lucas Rencker, Zeyu Jin, Nicholas J. Bryan, Juan Pablo Cáceres, Bryan Pardo:
Context-Aware Prosody Correction for Text-Based Speech Editing. CoRR abs/2102.08328 (2021) - [i13]Marco A. Martínez Ramírez, Oliver Wang, Paris Smaragdis, Nicholas J. Bryan:
Differentiable Signal Processing With Black-Box Audio Effects. CoRR abs/2105.04752 (2021) - [i12]Haici Yang, Shivani Firodiya, Nicholas J. Bryan, Minje Kim:
Neural Remixer: Learning to Remix Music with Interactive Control. CoRR abs/2107.13634 (2021) - [i11]Max Morrison, Zeyu Jin, Nicholas J. Bryan, Juan Pablo Cáceres, Bryan Pardo:
Neural Pitch-Shifting and Time-Stretching with Controllable LPCNet. CoRR abs/2110.02360 (2021) - [i10]Jonah Casebeer, Nicholas J. Bryan, Paris Smaragdis:
Auto-DSP: Learning to Optimize Acoustic Echo Cancellers. CoRR abs/2110.04284 (2021) - [i9]Yu Wang, Nicholas J. Bryan, Justin Salamon, Mark Cartwright, Juan Pablo Bello:
Who calls the shots? Rethinking Few-Shot Learning for Audio. CoRR abs/2110.09600 (2021) - [i8]Minz Won, Justin Salamon, Nicholas J. Bryan, Gautham J. Mysore, Xavier Serra:
Emotion Embedding Spaces for Matching Music to Stories. CoRR abs/2111.13468 (2021) - 2020
- [j2]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): 1991-2001 (2020) - [c18]Nicholas J. Bryan:
Impulse Response Data Augmentation and Deep Neural Networks for Blind Room Acoustic Parameter Estimation. ICASSP 2020: 1-5 - [c17]Jongpil Lee, Nicholas J. Bryan, Justin Salamon, Zeyu Jin, Juhan Nam:
Disentangled Multidimensional Metric Learning for Music Similarity. ICASSP 2020: 6-10 - [c16]Yu Wang, Justin Salamon, Nicholas J. Bryan, Juan Pablo Bello:
Few-Shot Sound Event Detection. ICASSP 2020: 81-85 - [c15]Stylianos I. Mimilakis, Nicholas J. Bryan, Paris Smaragdis:
One-Shot Parametric Audio Production Style Transfer with Application to Frequency Equalization. ICASSP 2020: 256-260 - [c14]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: 2852-2856 - [c13]Max Morrison, Zeyu Jin, Justin Salamon, Nicholas J. Bryan, Gautham J. Mysore:
Controllable Neural Prosody Synthesis. INTERSPEECH 2020: 4437-4441 - [c12]Yu Wang, Justin Salamon, Mark Cartwright, Nicholas J. Bryan, Juan Pablo Bello:
Few-shot Drum Transcription in Polyphonic Music. ISMIR 2020: 117-124 - [c11]Jongpil Lee, Nicholas J. Bryan, Justin Salamon, Zeyu Jin, Juhan Nam:
Metric learning vs classification for disentangled music representation learning. ISMIR 2020: 439-445 - [i7]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 abs/2001.04460 (2020) - [i6]Yu Wang, Justin Salamon, Mark Cartwright, Nicholas J. Bryan, Juan Pablo Bello:
Few-Shot Drum Transcription in Polyphonic Music. CoRR abs/2008.02791 (2020) - [i5]Max Morrison, Zeyu Jin, Justin Salamon, Nicholas J. Bryan, Gautham J. Mysore:
Controllable Neural Prosody Synthesis. CoRR abs/2008.03388 (2020) - [i4]Jongpil Lee, Nicholas J. Bryan, Justin Salamon, Zeyu Jin, Juhan Nam:
Disentangled Multidimensional Metric Learning for Music Similarity. CoRR abs/2008.03720 (2020) - [i3]Jongpil Lee, Nicholas J. Bryan, Justin Salamon, Zeyu Jin, Juhan Nam:
Metric Learning vs Classification for Disentangled Music Representation Learning. CoRR abs/2008.03729 (2020)
2010 – 2019
- 2019
- [i2]Nicholas J. Bryan:
Data Augmentation and Deep Convolutional Neural Networks for Blind Room Acoustic Parameter Estimation. CoRR abs/1909.03642 (2019) - [i1]Zhenyu Tang, Nicholas J. Bryan, Dingzeyu Li, Timothy R. Langlois, Dinesh Manocha:
Scene-Aware Audio Rendering via Deep Acoustic Analysis. CoRR abs/1911.06245 (2019) - 2014
- [c10]Nicholas J. Bryan, Gautham J. Mysore, Ge Wang:
ISSE: an interactive source separation editor. CHI 2014: 257-266 - 2013
- [c9]Nicholas J. Bryan, Gautham J. Mysore:
Interactive refinement of supervised and semi-supervised sound source separation estimates. ICASSP 2013: 883-887 - [c8]Nicholas J. Bryan, Gautham J. Mysore:
An Efficient Posterior Regularized Latent Variable Model for Interactive Sound Source Separation. ICML (3) 2013: 208-216 - [c7]Nicholas J. Bryan, Gautham J. Mysore, Ge Wang:
Source Separation of Polyphonic Music with Interactive User-Feedback on a Piano Roll Display. ISMIR 2013: 119-124 - 2012
- [c6]Nicholas J. Bryan, Paris Smaragdis, Gautham J. Mysore:
Clustering and synchronizing multi-camera video via landmark cross-correlation. ICASSP 2012: 2389-2392 - 2011
- [c5]Nicholas J. Bryan, Ge Wang:
Musical Influence Network Analysis and Rank of Sample-Based Music. ISMIR 2011: 329-334 - [c4]Nicholas J. Bryan, Ge Wang:
Two Turntables and a Mobile Phone. NIME 2011: 179-184 - 2010
- [j1]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): 1724-1737 (2010) - [c3]Jieun Oh, Jorge Herrera, Nicholas J. Bryan, Luke Dahl, Ge Wang:
Evolving The Mobile Phone Orchestra. NIME 2010: 82-87 - [c2]Nicholas J. Bryan, Jorge Herrera, Jieun Oh, Ge Wang:
MoMu: A Mobile Music Toolkit. NIME 2010: 174-177
2000 – 2009
- 2009
- [c1]Ge Wang, Nicholas J. Bryan, Jieun Oh, Robert Hamilton:
Stanford Laptop Orchestra (SLOrk). ICMC 2009
Coauthor Index
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last updated on 2024-10-04 21:03 CEST by the dblp team
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