Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Joost van Doremalen"'
Publikováno v:
EURASIP Journal on Audio, Speech, and Music Processing, Vol 2010 (2010)
Computer-Assisted Language Learning (CALL) applications for improving the oral skills of low-proficient learners have to cope with non-native speech that is particularly challenging. Since unconstrained non-native ASR is still problematic, a possible
Externí odkaz:
https://doaj.org/article/22beec0ee48c41e5b5fb9aa3b1c154c0
Publikováno v:
Computer assisted language learning
Computer Assisted Language Learning, 29, 833-851
Computer Assisted Language Learning, 29, 4, pp. 833-851
Computer Assisted Language Learning, 29, 833-851
Computer Assisted Language Learning, 29, 4, pp. 833-851
The purpose of this research was to evaluate a prototype of an automatic speech recognition (ASR)-based language learning system that provides feedback on different aspects of speaking performance (pronunciation, morphology and syntax) to students of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ee7a20c89cca54009f120afed21b4e1a
https://hdl.handle.net/10067/1336690151162165141
https://hdl.handle.net/10067/1336690151162165141
Publikováno v:
The Journal of the Acoustical Society of America, 134, 1336-1347
The Journal of the Acoustical Society of America, 134, 2, pp. 1336-1347
The Journal of the Acoustical Society of America, 134, 2, pp. 1336-1347
This research is aimed at analyzing and improving automatic pronunciation error detection in a second language. Dutch vowels spoken by adult non-native learners of Dutch are used as a test case. A first study on Dutch pronunciation by L2 learners wit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e93f09f40ba6486e23c4f5d282f014bd
http://hdl.handle.net/2066/116211
http://hdl.handle.net/2066/116211
Publikováno v:
Eurasip Journal on Audio, Speech, and Music Processing, 2010, pp. Article ID 973954
EURASIP Journal on Audio, Speech, and Music Processing, Vol 2010 (2010)
Eurasip Journal on Audio, Speech, and Music Processing, 2010, Article ID 973954
EURASIP Journal on Audio, Speech, and Music Processing, Vol 2010 (2010)
Eurasip Journal on Audio, Speech, and Music Processing, 2010, Article ID 973954
Computer-Assisted Language Learning (CALL) applications for improving the oral skills of low-proficient learners have to cope with non-native speech that is particularly challenging. Since unconstrained non-native ASR is still problematic, a possible
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a5b71f2d611de5156faec9b695cca911
https://hdl.handle.net/2066/86012
https://hdl.handle.net/2066/86012
Publikováno v:
ASRU
Proceedings of the biannual IEEE workshop on Automatic Speech Recognition and Understanding (ASRU), pp. 580-585
Proceedings of the biannual IEEE workshop on Automatic Speech Recognition and Understanding (ASRU), 580-585. Merano, Italy : [S.n.]
STARTPAGE=580;ENDPAGE=585;TITLE=Proceedings of the biannual IEEE workshop on Automatic Speech Recognition and Understanding (ASRU)
Proceedings of the biannual IEEE workshop on Automatic Speech Recognition and Understanding (ASRU), pp. 580-585
Proceedings of the biannual IEEE workshop on Automatic Speech Recognition and Understanding (ASRU), 580-585. Merano, Italy : [S.n.]
STARTPAGE=580;ENDPAGE=585;TITLE=Proceedings of the biannual IEEE workshop on Automatic Speech Recognition and Understanding (ASRU)
Frequent pronunciation errors made by L2 learners of Dutch often concern vowel substitutions. To detect such pronunciation errors, ASR-based confidence measures (CMs) are generally used. In the current paper we compare and combine confidence measures
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::28183f35f449eeadf9262cad2f8f442d
https://doi.org/10.1109/asru.2009.5373335
https://doi.org/10.1109/asru.2009.5373335
Publikováno v:
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, pp. CD-rom
Automatic Speech Recognition and Understanding, IEEE 2009 Workshop
ASRU
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, CD-rom. Merano, Italy : [S.n.]
STARTPAGE=CD-rom;TITLE=Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop
Automatic Speech Recognition and Understanding, IEEE 2009 Workshop
ASRU
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, CD-rom. Merano, Italy : [S.n.]
STARTPAGE=CD-rom;TITLE=Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop
This paper combines acoustic features with a high temporal and a high frequency resolution to reliably classify articulatory events of short duration, such as bursts in plosives. SVM classification experiments on TIMIT and SVArticulatory showed that
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::23b9958ecec54b135ed51cbde452f656
https://hdl.handle.net/2066/76405
https://hdl.handle.net/2066/76405