Adobe Research » Publications

Publication date: September 5, 2022

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

IEEE International Workshop on Acoustic Signal Enhancement

Junkai Wu, Jonah Casebeer, Nicholas J. Bryan, Paris Smaragdis

AI & Machine Learning
Audio

Publication date: September 1, 2022

Style Transfer of Audio Effects with Differentiable Signal Processing

Journal of the Audio Engineering Society

Christian Steinmetz, Nicholas J. Bryan, Joshua Reiss

AI & Machine Learning
Audio

Publication date: August 9, 2022

Can one hear the shape of a neural network?: Snooping the GPU via Magnetic Side Channel

USENIX Security 2022

Henrique Teles Maia, Chang Xiao, Dingzeyu Li, Eitan Grinspun, Changxi Zheng

AI & Machine Learning
Audio
Systems & Languages

Publication date: July 20, 2022

HEAR: Holistic Evaluation of Audio Representations

NeurIPS 2021

Joseph Turian, Jordie Shier, Humair Raj Khan, Bhiksha Raj, Björn W Schuller, Christian J Steinmetz, Colin Malloy, George Tzanetakis, Gissel Velarde, Kirk McNally, Max Henry, Nicolas Pinto, Camille Noufi, Christian Clough, Dorien Herremans, Eduardo Fonseca, Jesse Engel, Justin Salamon, Philippe Esling, Pranay Manocha, Shinji Watanabe, Zeyu Jin, Yonatan Bisk

AI & Machine Learning
Audio

Publication date: June 19, 2022

It’s Time for Artistic Correspondence in Music and Video

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Dídac Surís, Carl Vondrick, Bryan Russell, Justin Salamon

AI & Machine Learning
Audio
Computer Vision, Imaging & Video

Publication date: May 23, 2022

Controllable Speech Representation Learning via Voice Conversion and AIC Loss

ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Yunyun Wang, Jiaqi Su, Adam Finkelstein, Zeyu Jin

AI & Machine Learning
Audio

Publication date: May 22, 2022

Controllable Speech Representation Learning Via Voice Conversion and AIC Loss

ICASSP 2022

Yunyun Wang, Jiaqi Su, Adam Finkelstein, Zeyu Jin

AI & Machine Learning
Audio

Publication date: May 22, 2022

SQAPP: No-Reference Speech Quality Assessment Via Pairwise Preference

ICASSP 2022

Pranay Manocha, Zeyu Jin, Adam Finkelstein

AI & Machine Learning
Audio

Publication date: May 22, 2022

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

IEEE International Conference on Acoustics, Speech, and Signal Processing

Haici Yang, Shivani Firodiya, Nicholas J. Bryan, Minje Kim

AI & Machine Learning
Audio

Publication date: May 8, 2022

Music Enhancement via Image Translation and Vocoding

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

Nikhil Kandpal, Oriol Nieto, Zeyu Jin

AI & Machine Learning
Audio
Conferences,

Publication date: November 8, 2021

Deep Embeddings and Section Fusion Improve Music Segmentation

International Society for Music Information Retrieval Conference (ISMIR)

Justin Salamon, Oriol Nieto, Nicholas J. Bryan

AI & Machine Learning
Audio

Publication date: November 8, 2021

Controllable deep melody generation via hierarchical music representation

International Society for Music Information Retrieval Conference

Shuqi Dai, Zeyu Jin, Celso Gomes, Roger B. Dannenberg

Audio

Publication date: November 8, 2021

Emotion Embedding Spaces for Matching Music to Stories

International Society for Music Information Retrieval Conference (ISMIR)

Minz Won, Justin Salamon, Nicholas J. Bryan, Gautham Mysore, Xavier Serra

Best Student Paper Award

AI & Machine Learning
Audio

Publication date: October 18, 2021

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

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

Yu Wang, Nicholas J. Bryan, Justin Salamon, Mark Cartwright, Juan Pablo Bello

Best Audio Few-Shot Learning Paper Award

AI & Machine Learning
Audio

Publication date: October 18, 2021

Auto-DSP: Learning to Optimize Acoustic Echo Cancellers

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

Jonah Casebeer, Nicholas J. Bryan, Paris Smaragdis

AI & Machine Learning
Audio

Publication date: October 17, 2021

HiFi-GAN-2: Studio-quality speech enhancement via generative adversarial networks conditioned on acoustic features

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

Jiaqi Su, Zeyu Jin, Adam Finkelstein

AI & Machine Learning
Audio

Publication date: October 5, 2021

Neural Pitch-Shifting and Time-Stretching with Controllable LPCNet

Arxiv

Max Morrison, Zeyu Jin, Nicholas J. Bryan, Juan-Pablo Caceres, Bryan Pardo

AI & Machine Learning
Audio

Publication date: June 11, 2021

Personalized HRTF Modeling Using DNN-augmented BEM

ICASSP

Mengfan Zhang, Jui-Hsien Wang, Doug L. James, Wang

AI & Machine Learning
Audio
Graphics (2D & 3D)

Publication date: June 9, 2021

CDPAM: Contrastive learning for perceptual audio similarity

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

Pranay Manocha, Zeyu Jin, Richard Zhang, Adam Finkelstein

AI & Machine Learning
Audio

Publication date: June 9, 2021

Bandwidth Extension is All You Need

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

Jiaqi Su, Yunyun Wang, Adam Finkelstein, Zeyu Jin

AI & Machine Learning
Audio

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