Segmenting Words from Natural Speech: Subsegmental Variation in Segmental Cues

Autor/inn/en	Rytting, C. Anton; Brew, Chris; Fosler-Lussier, Eric
Titel	Segmenting Words from Natural Speech: Subsegmental Variation in Segmental Cues
Quelle	In: Journal of Child Language, 37 (2010) 3, S.513-543 (31 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0305-0009
DOI	10.1017/S0305000910000085
Schlagwörter	Cues; Phonetics; Language Acquisition; Speech Communication; Computational Linguistics; Acoustics; Phonemes; Models + Suchen Sie Ihr Suchwort? Stichwort; Phonetik; Fonetik; Sprachaneignung; Spracherwerb; Linguistics; Computerlinguistik; Akustik; Fonem; Analogiemodell
Abstract	Most computational models of word segmentation are trained and tested on transcripts of speech, rather than the speech itself, and assume that speech is converted into a sequence of symbols prior to word segmentation. We present a way of representing speech corpora that avoids this assumption, and preserves acoustic variation present in speech. We use this new representation to re-evaluate a key computational model of word segmentation. One finding is that high levels of phonetic variability degrade the model's performance. While robustness to phonetic variability may be intrinsically valuable, this finding needs to be complemented by parallel studies of the actual abilities of children to segment phonetically variable speech. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10