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Coherence Estimation Tracks Auditory Attention in Listeners with Hearing Impairment

Keding, Oskar LU ; Alickovic, Emina ; Skoglund, Martin A. and Sandsten, Maria LU (2023) 24th International Speech Communication Association, Interspeech 2023 p.5162-5166
Abstract

Coherence estimation between speech envelope and electroencephalography (EEG) is a proven method in neural speech tracking. This paper proposes an improved coherence estimation algorithm which utilises phase sensitive multitaper cross-spectral estimation. Estimated EEG coherence differences between attended and ignored speech envelopes for a hearing impaired (HI) population are evaluated and compared. Testing was made on 31 HI subjects and showed significant coherence differences for grand averages over the delta, theta, and alpha EEG bands. Significance of increased coherence for attended speech was stronger for the new method compared to the traditional method. The new method of estimating EEG coherence, improves statistical detection... (More)

Coherence estimation between speech envelope and electroencephalography (EEG) is a proven method in neural speech tracking. This paper proposes an improved coherence estimation algorithm which utilises phase sensitive multitaper cross-spectral estimation. Estimated EEG coherence differences between attended and ignored speech envelopes for a hearing impaired (HI) population are evaluated and compared. Testing was made on 31 HI subjects and showed significant coherence differences for grand averages over the delta, theta, and alpha EEG bands. Significance of increased coherence for attended speech was stronger for the new method compared to the traditional method. The new method of estimating EEG coherence, improves statistical detection performance and enables more rigorous data-based hypothesis-testing results.

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Please use this url to cite or link to this publication:
author
; ; and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
Coherence Estimation, EEG, Multitaper, Neural Speech Tracking, Selective Auditory Attention
host publication
INTERSPEECH 2023
pages
5 pages
publisher
International Speech Communication Association
conference name
24th International Speech Communication Association, Interspeech 2023
conference location
Dublin, Ireland
conference dates
2023-08-20 - 2023-08-24
external identifiers
  • scopus:85171564771
DOI
10.21437/Interspeech.2023-633
language
English
LU publication?
yes
additional info
Publisher Copyright: © 2023 International Speech Communication Association. All rights reserved.
id
891327e8-9447-424b-9373-133069648055
date added to LUP
2023-11-08 11:25:06
date last changed
2023-12-07 09:22:01
@inproceedings{891327e8-9447-424b-9373-133069648055,
  abstract     = {{<p>Coherence estimation between speech envelope and electroencephalography (EEG) is a proven method in neural speech tracking. This paper proposes an improved coherence estimation algorithm which utilises phase sensitive multitaper cross-spectral estimation. Estimated EEG coherence differences between attended and ignored speech envelopes for a hearing impaired (HI) population are evaluated and compared. Testing was made on 31 HI subjects and showed significant coherence differences for grand averages over the delta, theta, and alpha EEG bands. Significance of increased coherence for attended speech was stronger for the new method compared to the traditional method. The new method of estimating EEG coherence, improves statistical detection performance and enables more rigorous data-based hypothesis-testing results.</p>}},
  author       = {{Keding, Oskar and Alickovic, Emina and Skoglund, Martin A. and Sandsten, Maria}},
  booktitle    = {{INTERSPEECH 2023}},
  keywords     = {{Coherence Estimation; EEG; Multitaper; Neural Speech Tracking; Selective Auditory Attention}},
  language     = {{eng}},
  pages        = {{5162--5166}},
  publisher    = {{International Speech Communication Association}},
  title        = {{Coherence Estimation Tracks Auditory Attention in Listeners with Hearing Impairment}},
  url          = {{http://dx.doi.org/10.21437/Interspeech.2023-633}},
  doi          = {{10.21437/Interspeech.2023-633}},
  year         = {{2023}},
}