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

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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

Author: Arnold, Denis; Tomaschek, Fabian; Sering, Konstantin; Lopez, Florence; Baayen, R. Harald
Tübinger Autor(en):
Arnold, Denis
Tomaschek, Fabian
Sering, Konstantin
Lopez, Florence
Baayen, R. Harald
Published in: Plos One (2017), Bd. 12, Article e0174623
Verlagsangabe: Public Library Science
Language: English
Full text: http://dx.doi.org/10.1371/journal.pone.0174623
ISSN: 1932-6203
DDC Classifikation: 500 - Natural sciences and mathematics
Dokumentart: Artikel
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