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Predicting acute pain levels implicitly from vocal features

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
c5c639a6-dd2b-4582-af97-30668dfea5a7
Card, Henry
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Seabrooke, Tina
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Pakenham-Walsh, Beatrice
5337a4fb-e2dc-44e4-84d9-56146d88b97e
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, 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)
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Interspeech_2024_Paper_15_correction - Version of Record
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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
ORCID for Jennifer Williams: ORCID iD orcid.org/0000-0003-1410-0427
ORCID for Tina Seabrooke: ORCID iD orcid.org/0000-0002-4119-8389
ORCID for Ganesh Vigneswaran: ORCID iD orcid.org/0000-0002-4115-428X

Catalogue record

Date deposited: 03 Jul 2024 16:34
Last modified: 12 Jul 2024 02:10

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Contributors

Author: Jennifer Williams ORCID iD
Author: Eike Schneiders
Author: Henry Card
Author: Tina Seabrooke ORCID iD
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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