Please use this identifier to cite or link to this item:
http://hdl.handle.net/2122/12393
DC Field | Value | Language |
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dc.date.accessioned | 2019-03-11T07:38:52Z | en |
dc.date.available | 2019-03-11T07:38:52Z | en |
dc.date.issued | 2018 | en |
dc.identifier.isbn | 978-3319569031 | en |
dc.identifier.uri | http://hdl.handle.net/2122/12393 | en |
dc.description.abstract | This paper investigates the acoustical and perceptual speech features that differentiate a depressed individual from a healthy one. The speech data gathered was a collection from both healthy and depressed subjects in the Italian language, each comprising of a read and spontaneous narrative. The pre-processing of this dataset was done using Mel Frequency Cepstral Coefficient (MFCC). The speech samples were further processed using Principal Component Analysis (PCA) for correlation and dimensionality reduction. It was found that both groups differed with respect to the extracted speech features. To distinguish the depressed group from the healthy one on the basis the proposed speech processing algorithm the Self Organizing Map (SOM) algorithm was used. The clustering accuracy given by SOM’s was 80.67%. | en |
dc.language.iso | English | en |
dc.relation.ispartof | Multidisciplinary Approaches to Neural Computing. | en |
dc.subject | Self Organizing Maps (SOM) | en |
dc.subject | PCA | en |
dc.title | Automatic Detection of Depressive States from Speech | en |
dc.type | book chapter | en |
dc.description.status | Published | en |
dc.type.QualityControl | Peer-reviewed | en |
dc.description.pagenumber | 301-314 | en |
dc.identifier.URL | https://link.springer.com/chapter/10.1007/978-3-319-56904-8_29 | en |
dc.description.obiettivoSpecifico | 5TM. Informazione ed editoria | en |
dc.contributor.author | Mendiratta, Aditi | en |
dc.contributor.author | Scibelli, Filomena | en |
dc.contributor.author | Esposito, Antonietta M. | en |
dc.contributor.author | Capuano, Vincenzo | en |
dc.contributor.author | Likforman-Sulem, Laurence | en |
dc.contributor.author | Maldonato, Mauro N. | en |
dc.contributor.author | Vinciarelli, Alessandro | en |
dc.contributor.author | Esposito, Anna | en |
dc.contributor.department | Istituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione OV, Napoli, Italia | en |
item.openairetype | book chapter | - |
item.cerifentitytype | Publications | - |
item.languageiso639-1 | en | - |
item.grantfulltext | restricted | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.fulltext | With Fulltext | - |
crisitem.author.dept | Istituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione OV, Napoli, Italia | - |
crisitem.author.dept | Università degli Studi della Campania “Luigi Vanvitelli”, Dipartimento di Psicologia, Viale Ellittico n. 31, 81100 Caserta, Italy | - |
crisitem.author.orcid | 0000-0002-9370-7448 | - |
crisitem.author.orcid | 0000-0003-2192-3720 | - |
crisitem.author.orcid | 0000-0001-9096-7239 | - |
crisitem.author.orcid | 0000-0002-9048-0524 | - |
crisitem.author.parentorg | Istituto Nazionale di Geofisica e Vulcanologia | - |
crisitem.department.parentorg | Istituto Nazionale di Geofisica e Vulcanologia | - |
Appears in Collections: | Book chapters |
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File | Description | Size | Format | Existing users please Login |
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2017_WIRN 2016_Aditi.pdf | 441.43 kB | Adobe PDF |
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