Creating Super-Hearing Capabilities With Real-Time AI
Sound is a fundamental medium through which we perceive our environment. However, today we are surrounded by a cacophony of sounds that can overwhelm our senses. Indeed, human auditory perception can be limited in noisy environments. Imagine being in a crowded room with a cacophony of sounds and having the ability to focus on or remove sounds from a specific person or based on their semantic descriptions. This requires understanding and manipulating an acoustic scene, isolating each sound, and associating a spatial context or semantic meaning with each constituent sound or speaker—a challenging set of tasks even for the human brain in noisy environments.
Authors
- Shyamnath Gollakota (ORCID: https://orcid.org/0000-0002-9863-3054)
- Malek Itani (ORCID: https://orcid.org/0009-0002-7249-2641)
- Bandhav Veluri (ORCID: https://orcid.org/0000-0002-5086-9092)
- Tuochao Chen (ORCID: https://orcid.org/0000-0002-8031-5066)
Institutions
- University of Washington (US)
Publication Details
- Journal
- IEEE Pervasive Computing
- Published
- 2024-10-01
- DOI
- https://doi.org/10.1109/mprv.2024.3499532
- Primary Topic
- Human-Automation Interaction and Safety
- Type
- article
- Field-Weighted Citation Impact
- 0.00