Enhancing speech-based depression detection through gender dependent vowel-level formant features
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| Author: | Nicholas CumminsORCiDGND, Bogdan Vlasenko, Hesam Sagha, Björn SchullerORCiDGND |
|---|---|
| URN: | urn:nbn:de:bvb:384-opus4-666452 |
| Frontdoor URL | https://opus.bibliothek.uni-augsburg.de/opus4/66645 |
| ISBN: | 9783319597577OPAC |
| ISBN: | 9783319597584OPAC |
| ISSN: | 0302-9743OPAC |
| ISSN: | 1611-3349OPAC |
| Parent Title (English): | Artificial Intelligence in Medicine: 16th Conference on Artificial Intelligence in Medicine, AIME 2017, Vienna, Austria, June 21-24, 2017 |
| Publisher: | Springer |
| Place of publication: | Cham |
| Editor: | Annette ten Teije, Christian Popow, John H. Holmes, Lucia Sacchi |
| Type: | Part of a Book |
| Language: | English |
| Year of first Publication: | 2017 |
| Publishing Institution: | Universität Augsburg |
| Release Date: | 2019/12/10 |
| First Page: | 209 |
| Last Page: | 214 |
| Series: | Lecture Notes in Computer Science ; 10259 |
| DOI: | https://doi.org/10.1007/978-3-319-59758-4_23 |
| 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 |
