Speech Enhancement Based on Neural Networks Improves Speech Intelligibility in Noise for Cochlear Implant Users

GOEHRING, TOBIAS, Bolner, Federico, Monaghan, Jessica, van Dijk, Bas, Zarowski, Andrzej and Bleeck, Stefan (2016) Speech Enhancement Based on Neural Networks Improves Speech Intelligibility in Noise for Cochlear Implant Users. University of Southampton doi:10.5258/SOTON/403408 [Dataset]

Record type: Dataset

Abstract

These files show the complete anonymized dataset of the results of psychophysical experiments of all conditions that led to the figures in the paper. All figures can be redrawn on the basis of these data. Shown are the conditions in the columns and the different noise types in the rows. Results are SRTs in each condition

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HEARES_NNSEforCI_NCMdata.xlsx - Dataset

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Spreadsheet

HEARES_NNSEforCI_SRTdata.xlsx - Dataset

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More information

Published date: 2016

Related URLs:

Organisations: Signal Processing & Control Grp, Faculty Hub, Human Sciences Group

Projects:

Designing better hearing aids using physiologically inspired speech enhancement

Funded by: UNSPECIFIED (EP/K020501/1)

6 February 2013 to 5 February 2016

Identifiers

Local EPrints ID: 403408

URI: http://eprints.soton.ac.uk/id/eprint/403408

DOI: doi:10.5258/SOTON/403408

PURE UUID: c9c11a2e-7872-4de4-8d63-91816a723914

ORCID for Stefan Bleeck:

orcid.org/0000-0003-4378-3394

Catalogue record

Date deposited: 01 Dec 2016 11:48

Last modified: 05 Nov 2023 02:41

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Contributors

Creator: TOBIAS GOEHRING

Creator: Federico Bolner

Creator: Jessica Monaghan

Creator: Bas van Dijk

Creator: Andrzej Zarowski

Creator: Stefan Bleeck

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