Adobe Research » Publications

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

Publication date: June 8, 2021

Sound Event Detection and Separation: A Benchmark on DESED Synthetic Soundscapes

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

Nicolas Turpault, Romain Serizel, Scott Wisdom, Hakan Erdogan, John R. Hershey, Eduardo Fonseca, Prem Seetharaman, Justin Salamon

AI & Machine Learning
Audio

Publication date: June 8, 2021

What’s all the Fuss about Free Universal Sound Separation Data?

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

Scott Wisdom, Hakan Erdogan, Daniel P. W. Ellis, Romain Serizel, Nicolas Turpault, Eduardo Fonseca, Justin Salamon, Prem Seetharaman, John R. Hershey

AI & Machine Learning
Audio

Publication date: June 8, 2021

Few-Shot Continual Learning for Audio Classification

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

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

AI & Machine Learning
Audio

Publication date: June 6, 2021

Context-Aware Prosody Correction for Text-Based Speech Editing

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

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

AI & Machine Learning
Audio

Publication date: June 6, 2021

Differentiable Signal Processing with Black-Box Audio Effects

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

Marco A. Martínez Ramírez, Oliver Wang, Paris Smaragdis, Nicholas J. Bryan

AI & Machine Learning
Audio

Publication date: December 11, 2020

Audio-Based Music Structure Analysis: Current Trends, Open Challenges, and Applications

Transactions of the International Society for Music Information Retrieval (TISMIR)

Oriol Nieto, Gautham Mysore, Cheng-i Wang, Jordan B. L. Smith, Jan Schlüter, Thomas Grill, Brian McFee

AI & Machine Learning
Audio

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