A machine learning based system for the automatic evaluation of aphasia speech

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Metadaten
Author:Christian Kohlschein, Maximilian SchmittORCiD, Björn SchullerORCiDGND, Sabina Jeschke, Cornelius J. Werner
URN:urn:nbn:de:bvb:384-opus4-718238
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/71823
ISBN:978-1-5090-6704-6OPAC
Parent Title (English):IEEE 19th International Conference on e-Health Networking, Applications and Services (Healthcom), 12-15 October 2017, Dalian, China
Publisher:IEEE
Place of publication:Piscataway, NJ
Type:Part of a Book
Language:English
Year of first Publication:2017
Publishing Institution:Universität Augsburg
Release Date:2020/03/06
Pagenumber:6
DOI:https://doi.org/10.1109/HealthCom.2017.8210766
Institutes:Fakultät für Angewandte Informatik
Fakultät für Angewandte Informatik / Institut für Informatik
Fakultät für Angewandte Informatik / Institut für Informatik / Lehrstuhl für Embedded Intelligence for Health Care and Wellbeing
Dewey Decimal Classification:0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
Licence (German):Deutsches Urheberrecht