Audio

We are re-imagining audio technology to empower people to be creative without the tools getting in the way. We are working on dramatically simplifying the creation of audio content, while still maintaining high production value. Our work spans a number of audio research areas including speech enhancement, music information retrieval, speech and music synthesis, computational acoustics, spatial audio, and audio event detection. We also work on problems at the intersection of audio with video, augmented reality, and natural language processing. To advance all of these research areas, we develop new machine learning algorithms, novel signal processing algorithms, and new human computer interaction paradigms.

Meet some of our researchersView More

Tim Langlois

Research Scientist

Justin Salamon

Senior Research Scientist

Paris Smaragdis

Senior Research Scientist

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Personalized HRTF Modeling Using DNN-augmented BEM

Zhang, M., Wang, J., James, D., Wang, W. (Jun. 11, 2021)

ICASSP

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

Turpault, N., Serizel, R., Wisdom, S., Erdogan, H., Hershey, J., Fonseca, E., Seetharaman, P., Salamon, J. (Jun. 8, 2021)

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

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

Wisdom, S., Erdogan, H., Ellis, D., Serizel, R., Turpault, N., Fonseca, E., Salamon, J., Seetharaman, P., Hershey, J. (Jun. 8, 2021)

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

Project Awesome Audio

Project Awesome Audio, an experimental technology, converts low quality home voice recordings into studio quality audio at the press of a button. It uses a deep learning model to jointly perform high quality dereverberation, denoising, and more.

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Join us!

We are looking for researchers, engineers, and interns to take our technologies to the next level. We're recruiting, and we would love to hear from you!