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

Institutions

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
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Creating Super-Hearing Capabilities With Real-Time AI

Shyamnath Gollakota, Malek Itani, Bandhav Veluri, Tuochao Chen
IEEE Pervasive Computing
Human-Automation Interaction and Safety
article

Creating Super-Hearing Capabilities With Real-Time AI

Shyamnath Gollakota, Malek Itani, Bandhav Veluri, Tuochao Chen
article en

Abstract

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.

IEEE Pervasive ComputingVol. 23(4)
University of Washington (US)
Openalex Percentile: Top 65%
Human-Automation Interaction and Safety
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.