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A Computational Model of Language Acquisition: the Emergence of Words.

, , , and . Fundam. Informaticae, 90 (3): 229-249 (2009)

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Unconstrained Speech Segmentation using Deep Neural Networks., , and . ICPRAM (1), page 248-254. SciTePress, (2015)DIANA, an end-to-end computational model of human word comprehension., , and . ICPhS, University of Glasgow, (2015)A novel feature transformation for vocal tract length normalization in automatic speech recognition., , , and . IEEE Trans. Speech Audio Process., 6 (6): 549-557 (1998)Spoken Conversational Agents for Older Adults: Who Are the Stakeholders and What Do They Expect?, , , , , , and . IUI Workshops, volume 2903 of CEUR Workshop Proceedings, CEUR-WS.org, (2021)From diphones to allophones: from data to rules., , and . EUROSPEECH, page 1129-1131. ISCA, (1989)Automatic detection of prominence (as defined by listeners' judgements) in read aloud dutch sentences., , and . ICSLP, ISCA, (1998)Analysis of context-dependent segmental duration for automatic speech recognition., , and . ICSLP, page 1181-1184. ISCA, (1996)On the error criteria in neural networks as a tool for human classification modelling., and . ICSLP, page 510-513. ISCA, (1996)On the automatic classification of pitch movements.. EUROSPEECH, page 781-784. ISCA, (1993)Up to what level can acoustical and textual features predict prominence., , and . INTERSPEECH, page 811-814. ISCA, (2001)