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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

Sound units play a pivotal role in cognitive models of auditory comprehension. The general consensus is that during perception listeners break down speech into auditory words and subsequently phones. Indeed, cognitive speech recognition is typically taken to be computationally intractable without ph...

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Detalles Bibliográficos
Autores principales: Arnold, Denis, Tomaschek, Fabian, Sering, Konstantin, Lopez, Florence, Baayen, R. Harald
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5386243/
https://www.ncbi.nlm.nih.gov/pubmed/28394938
http://dx.doi.org/10.1371/journal.pone.0174623