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.
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.