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Simões, C., Teixeira, C., Dias, J., Daniela Braga & Lopes, A. (2007). European Portuguese Accent in Acoustic Models for Non-native English Speakers. In  Progress in Pattern Recognition, Image Analysis and Applications, Iberoamerican Congress on Pattern Recognition  CIARP 2007. (pp. 734-742). Berlin: Springer.

S. C. et al.,  "European Portuguese Accent in Acoustic Models for Non-native English Speakers", in  Progress in Pattern Recognition, Image Analysis and Applications, Iberoamerican Congr. on Pattern Recognition  CIARP 2007, Berlin, Springer, 2007, vol. 4756 LNCS, pp. 734-742

@incollection{c.2007_1716157450591,
	author = "Simões, C. and Teixeira, C. and Dias, J. and Daniela Braga and Lopes, A.",
	title = "European Portuguese Accent in Acoustic Models for Non-native English Speakers",
	chapter = "",
	booktitle = " Progress in Pattern Recognition, Image Analysis and Applications, Iberoamerican Congress on Pattern Recognition  CIARP 2007",
	year = "2007",
	volume = "4756 LNCS",
	series = "Lecture Notes in Computer Science book series (LNIP,volume 4756)",
	edition = "",
	pages = "734-734",
	publisher = "Springer",
	address = "Berlin",
	url = "http://www.scopus.com/inward/record.url?eid=2-s2.0-38549180371&partnerID=MN8TOARS"
}

TY  - CHAP
TI  - European Portuguese Accent in Acoustic Models for Non-native English Speakers
T2  -  Progress in Pattern Recognition, Image Analysis and Applications, Iberoamerican Congress on Pattern Recognition  CIARP 2007
VL  - 4756 LNCS
AU  - Simões, C.
AU  - Teixeira, C.
AU  - Dias, J.
AU  - Daniela Braga
AU  - Lopes, A.
PY  - 2007
SP  - 734-742
SN  - 1611-3349
DO  - 978-3-540-76725-1_76
CY  - Berlin
UR  - http://www.scopus.com/inward/record.url?eid=2-s2.0-38549180371&partnerID=MN8TOARS
AB  - The development of automatic speech recognition systems poses several known difficulties. One of them concerns the recognizer's accuracy when dealing with non-native speakers of a given language. Normally a recognizer precision is lower for non-native users. Hence our goal is to improve this low accuracy rate when the speech recognition system is confronted with a foreign accent. A typical usage scenario is to apply these models in applications where European Portuguese is dominant but English may also frequently occur. Therefore, several experiments were performed using cross-word triphone-based models, which were then trained with speech corpora containing European Portuguese native speakers, English native speakers and English spoken by European Portuguese native speakers. © Springer-Verlag Berlin Heidelberg 2007.
ER  -