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Export Reference (APA) 
Dias, Miguel Sales (2014). Automatically recognising European Portuguese children’s speech: Pronunciation patterns revealed by an analysis of ASR errors. In Baptista, J., Mamede, N., Candeias, S., Paraboni, I., Pardo, T.A.S., Volpe Nunes, M.d.G.  (Ed.), Computational Processing of the Portuguese Language. (pp. 1-11). Switzerland: Springer International Publishing.
Export Reference (IEEE) 
J. M. Dias,  "Automatically recognising European Portuguese children’s speech: Pronunciation patterns revealed by an analysis of ASR errors", in Computational Processing of the Portuguese Language, Baptista, J., Mamede, N., Candeias, S., Paraboni, I., Pardo, T.A.S., Volpe Nunes, M.d.G. , Ed., Switzerland, Springer International Publishing, 2014, vol. 8775, pp. 1-11
Export BibTeX 
@incollection{dias2014_1716163205489,
	author = "Dias, Miguel Sales",
	title = "Automatically recognising European Portuguese children’s speech: Pronunciation patterns revealed by an analysis of ASR errors",
	booktitle = "Computational Processing of the Portuguese Language",
	year = "2014",
	volume = "8775",
	series = "Lecture Notes in Artificial Intelligence",
	edition = "Lecture Notes in Computer Science ",
	pages = "1-1",
	publisher = "Springer International Publishing",
	address = "Switzerland",
	url = "http://www.scopus.com/inward/record.url?eid=2-s2.0-84908567142&partnerID=MN8TOARS"
}
Export RIS 
TY  - CHAP
TI  - Automatically recognising European Portuguese children’s speech: Pronunciation patterns revealed by an analysis of ASR errors
T2  - Computational Processing of the Portuguese Language
VL  - 8775
AU  - Dias, Miguel Sales
PY  - 2014
SP  - 1-11
DO  - 10.1007/978-3-319-09761-9
CY  - Switzerland
UR  - http://www.scopus.com/inward/record.url?eid=2-s2.0-84908567142&partnerID=MN8TOARS
AB  - This paper reports findings from an analysis of errors made by an automatic speech recogniser trained and tested with 3-10-year-old European Portuguese children’s speech. We expected and were able to identify frequent pronunciation error patterns in the children’s speech. Furthermore, we were able to correlate some of these pronunciation error patterns and automatic speech recognition errors. The findings reported in this paper are of phonetic interest but will also be useful for improving the performance of automatic speech recognisers aimed at children representing the target population of the study.
ER  -