Predicting acute pain levels implicitly from vocal features
Predicting acute pain levels implicitly from vocal features
Williams, Jennifer
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Schneiders, Eike
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Card, Henry
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Seabrooke, Tina
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Pakenham-Walsh, Beatrice
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Azim, Tayyaba
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Valls-Reed, Lucy
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Vigneswaran, Ganesh
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Bautista, John Robert
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Chandra, Rohan
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Farahi, Arya
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Williams, Jennifer
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Schneiders, Eike
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Card, Henry
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Seabrooke, Tina
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Pakenham-Walsh, Beatrice
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Azim, Tayyaba
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Valls-Reed, Lucy
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Vigneswaran, Ganesh
4e3865ad-1a15-4a27-b810-55348e7baceb
Bautista, John Robert
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Chandra, Rohan
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Farahi, Arya
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Williams, Jennifer, Schneiders, Eike, Card, Henry, Seabrooke, Tina, Pakenham-Walsh, Beatrice, Azim, Tayyaba, Valls-Reed, Lucy, Vigneswaran, Ganesh, Bautista, John Robert, Chandra, Rohan and Farahi, Arya
(2024)
Predicting acute pain levels implicitly from vocal features.
Interspeech 2024, Kos Island, Greece.
01 - 05 Sep 2024.
5 pp
.
(In Press)
Record type:
Conference or Workshop Item
(Paper)
Text
Interspeech_2024_Paper_15_correction
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Interspeech_2024___TAME_Pain__March_2__March_11_
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Accepted/In Press date: 4 June 2024
Venue - Dates:
Interspeech 2024, Kos Island, Greece, 2024-09-01 - 2024-09-05
Identifiers
Local EPrints ID: 491717
URI: http://eprints.soton.ac.uk/id/eprint/491717
PURE UUID: 49489800-7532-4fdb-9f89-378349344589
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Date deposited: 03 Jul 2024 16:34
Last modified: 08 Oct 2024 02:13
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Contributors
Author:
Jennifer Williams
Author:
Eike Schneiders
Author:
Henry Card
Author:
Beatrice Pakenham-Walsh
Author:
Tayyaba Azim
Author:
Lucy Valls-Reed
Author:
John Robert Bautista
Author:
Rohan Chandra
Author:
Arya Farahi
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