Brain‐Controlled Augmented Hearing for Spatially Moving Conversations in Multi‐Talker Environments

Focusing on a specific conversation amidst multiple interfering talkers is challenging, especially for those with hearing loss. Brain-controlled assistive hearing devices aim to alleviate this problem by enhancing the attended speech based on the listener's neural signals using auditory attention decoding (AAD). Departing from conventional AAD studies that relied on oversimplified scenarios with stationary talkers, a realistic AAD task that involves multiple talkers taking turns as they continuously move in space in background noise is presented. Invasive electroencephalography (iEEG) data are collected from three neurosurgical patients as they focused on one of the two moving conversations. An enhanced brain-controlled assistive hearing system that combines AAD and a binaural speaker-independent speech separation model is presented. The separation model unmixes talkers while preserving their spatial location and provides talker trajectories to the neural decoder to improve AAD accuracy. Subjective and objective evaluations show that the proposed system enhances speech intelligibility and facilitates conversation tracking while maintaining spatial cues and voice quality in challenging acoustic environments. This research demonstrates the potential of this approach in real-world scenarios and marks a significant step toward developing assistive hearing technologies that adapt to the intricate dynamics of everyday auditory experiences.

Authors

Institutions

Publication Details

Journal
Advanced Science
Published
2024-09-09
DOI
https://doi.org/10.1002/advs.202401379
Citations
11
Primary Topic
Hearing Loss and Rehabilitation
Type
article
Field-Weighted Citation Impact
3.77

Funders

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

Brain‐Controlled Augmented Hearing for Spatially Moving Conversations in Multi‐Talker Environments

Stephan Bickel, Nima Mesgarani, Catherine A. Schevon, Vishal Choudhari et al.
11 citations
Advanced Science
Hearing Loss and Rehabilitation
3.77
article

Brain‐Controlled Augmented Hearing for Spatially Moving Conversations in Multi‐Talker Environments

Stephan Bickel, Nima Mesgarani, Catherine A. Schevon, Vishal Choudhari, Cong Han, Guy M. McKhann, Ashesh D. Mehta
article en
11 citations

Abstract

Focusing on a specific conversation amidst multiple interfering talkers is challenging, especially for those with hearing loss. Brain-controlled assistive hearing devices aim to alleviate this problem by enhancing the attended speech based on the listener's neural signals using auditory attention decoding (AAD). Departing from conventional AAD studies that relied on oversimplified scenarios with stationary talkers, a realistic AAD task that involves multiple talkers taking turns as they continuously move in space in background noise is presented. Invasive electroencephalography (iEEG) data are collected from three neurosurgical patients as they focused on one of the two moving conversations. An enhanced brain-controlled assistive hearing system that combines AAD and a binaural speaker-independent speech separation model is presented. The separation model unmixes talkers while preserving their spatial location and provides talker trajectories to the neural decoder to improve AAD accuracy. Subjective and objective evaluations show that the proposed system enhances speech intelligibility and facilitates conversation tracking while maintaining spatial cues and voice quality in challenging acoustic environments. This research demonstrates the potential of this approach in real-world scenarios and marks a significant step toward developing assistive hearing technologies that adapt to the intricate dynamics of everyday auditory experiences.

Advanced ScienceVol. 11(41)
Feinstein Institute for Medical Research (US), Hofstra University (US), Neurological Surgery (US), Columbia University (US)
National Institutes of Health, National Institute on Deafness and Other Communication Disorders
Quality Education
Openalex Percentile: Top 6%
Hearing Loss and Rehabilitation
3.77
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.