Words from spontaneous conversational speech can be recognized with human-like accuracy by an error-driven learning algorithm that discriminates between meanings straight from smart acoustic features, bypassing the phoneme as recognition unit

Arnold, Denis; Tomaschek, Fabian; Sering, Konstantin; Lopez, Florence; Baayen, R. Harald

dc.contributor.author	Arnold, Denis
dc.contributor.author	Tomaschek, Fabian
dc.contributor.author	Sering, Konstantin
dc.contributor.author	Lopez, Florence
dc.contributor.author	Baayen, R. Harald
dc.date.accessioned	2017-12-06T09:00:41Z
dc.date.available	2017-12-06T09:00:41Z
dc.date.issued	2017
dc.identifier.issn	1932-6203
dc.identifier.uri	http://hdl.handle.net/10900/79081
dc.language.iso	en	en
dc.publisher	Public Library Science	de_DE
dc.relation.uri	http://dx.doi.org/10.1371/journal.pone.0174623
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject.ddc	500	de_DE
dc.title	Words from spontaneous conversational speech can be recognized with human-like accuracy by an error-driven learning algorithm that discriminates between meanings straight from smart acoustic features, bypassing the phoneme as recognition unit	de_DE
dc.type	Article	de_DE
utue.quellen.id	20170815222223_01104
utue.personen.roh	Arnold, Denis
utue.personen.roh	Tomaschek, Fabian
utue.personen.roh	Sering, Konstantin
utue.personen.roh	Lopez, Florence
utue.personen.roh	Baayen, R. Harald
dcterms.isPartOf.ZSTitelID	Plos One	de_DE
dcterms.isPartOf.ZS-Issue	Article e0174623	de_DE
dcterms.isPartOf.ZS-Volume	12	de_DE
utue.fakultaet	05 Philosophische Fakultät