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Speech enhancement based on artificial neural networks for hearing-impaired listeners using auditory inspired features

Speech enhancement based on artificial neural networks for hearing-impaired listeners using auditory inspired features
Speech enhancement based on artificial neural networks for hearing-impaired listeners using auditory inspired features
Goehring, Tobias
0da30bba-a437-45f8-a817-898621066f28
Yang, Xin
207eb6d4-8f41-4bdc-be52-fc95bb33f450
Monaghan, Jessica
c50ec007-b423-4956-8f4f-e6bb63b95f43
Wang, Shang
343187e1-2062-464b-9ada-009f2970e208
Niranjan, Mahesan
5cbaeea8-7288-4b55-a89c-c43d212ddd4f
Bleeck, Stefan
c888ccba-e64c-47bf-b8fa-a687e87ec16c
Goehring, Tobias
0da30bba-a437-45f8-a817-898621066f28
Yang, Xin
207eb6d4-8f41-4bdc-be52-fc95bb33f450
Monaghan, Jessica
c50ec007-b423-4956-8f4f-e6bb63b95f43
Wang, Shang
343187e1-2062-464b-9ada-009f2970e208
Niranjan, Mahesan
5cbaeea8-7288-4b55-a89c-c43d212ddd4f
Bleeck, Stefan
c888ccba-e64c-47bf-b8fa-a687e87ec16c

Goehring, Tobias, Yang, Xin, Monaghan, Jessica, Wang, Shang, Niranjan, Mahesan and Bleeck, Stefan (2016) Speech enhancement based on artificial neural networks for hearing-impaired listeners using auditory inspired features At DGA-Jahrestagung German Society of Audiology, Germany. 09 - 12 Mar 2016.

Record type: Conference or Workshop Item (Poster)

Full text not available from this repository.

More information

Published date: 10 March 2016
Venue - Dates: DGA-Jahrestagung German Society of Audiology, Germany, 2016-03-09 - 2016-03-12
Organisations: Human Sciences Group

Identifiers

Local EPrints ID: 389498
URI: http://eprints.soton.ac.uk/id/eprint/389498
PURE UUID: d92dea93-a46b-4a32-bcd4-157a2aaf7c2d
ORCID for Stefan Bleeck: ORCID iD orcid.org/0000-0003-4378-3394

Catalogue record

Date deposited: 16 Mar 2016 10:29
Last modified: 17 Jul 2017 19:34

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Contributors

Author: Tobias Goehring
Author: Xin Yang
Author: Jessica Monaghan
Author: Shang Wang
Author: Stefan Bleeck ORCID iD

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