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1
Individual word activation and word frequency effects during the processing of opaque idiomatic expressions ...
Hubers, Ferdy; Cucchiarini, Catia; Strik, Helmer. - : SAGE Journals, 2021
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2
Individual word activation and word frequency effects during the processing of opaque idiomatic expressions ...
Hubers, Ferdy; Cucchiarini, Catia; Strik, Helmer. - : SAGE Journals, 2021
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3
Assessing the quality of TTS audio in the LARA learning-by-reading platform
In: ISBN: 9782490057979 ; CALL and professionalisation: short papers from EUROCALL 2021 pp. 1-5 (2021)
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4
Individual word activation and word frequency effects during the processing of opaque idiomatic expressions
In: Q J Exp Psychol (Hove) (2021)
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5
Effects of acoustic characteristics on dysarthric speech intelligibility ...
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6
Effects of acoustic characteristics on dysarthric speech intelligibility ...
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7
Directions for the future of technology in pronunciation research and teaching
In: English Publications (2019)
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8
Phonology acquisition in Spanish learners of Dutch: error patterns in pronunciation
In: Language sciences. - Amsterdam : Elsevier 41 (2014), 129-142
OLC Linguistik
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9
A corpus-based study of Spanish L2 mispronunciations by Japanese speakers
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10
Analyzing and identifying multiword expressions in spoken language
In: Language resources and evaluation. - Dordrecht [u.a.] : Springer 44 (2010) 1-2, 41-58
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11
Oral proficiency training in Dutch L2: the contribution of ASR-based corrective feedback
In: Speech communication. - Amsterdam [u.a.] : Elsevier 51 (2009) 10, 853-863
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12
Comparing different approaches for automatic pronunciation error detection
In: Speech communication. - Amsterdam [u.a.] : Elsevier 51 (2009) 10, 845-852
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13
Comparing different approaches for automatic pronunciation error detection
In: ISSN: 0167-6393 ; EISSN: 1872-7182 ; Speech Communication ; https://hal.archives-ouvertes.fr/hal-00558522 ; Speech Communication, Elsevier : North-Holland, 2009, 51 (10), pp.845. ⟨10.1016/j.specom.2009.05.007⟩ (2009)
Abstract: International audience ; One of the biggest challenges in designing computer assisted language learning (CALL) applications that provide automatic feedback on pronunciation errors consists in reliably detecting the pronunciation errors at such a detailed level that the information provided can be useful to learners. In our research we investigate pronunciation errors frequently made by foreigners learning Dutch as a second language. In the present paper we focus on the velar fricative // and the velar plosive /k/. We compare four types of classifiers that can be used to detect erroneous pronunciations of these phones: two acoustic-phonetic classifiers (one of which employs linear-discriminant analysis (LDA)), a classifier based on cepstral coefficients in combination with LDA, and one based on confidence measures (the so-called Goodness Of Pronunciation score). The best results were obtained for the two LDA classifiers which produced accuracy levels of about 85-93%.
Keyword: acoustic-phonetic classification; computer assisted language learning; computer assisted pronunciation training; pronunciation error detection
URL: https://hal.archives-ouvertes.fr/hal-00558522
https://doi.org/10.1016/j.specom.2009.05.007
https://hal.archives-ouvertes.fr/hal-00558522/document
https://hal.archives-ouvertes.fr/hal-00558522/file/PEER_stage2_10.1016%252Fj.specom.2009.05.007.pdf
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14
The effectiveness of computer-based speech corrective feedback for improving segmental quality in L2 Dutch
In: Recall. - Cambridge [u.a.] : Cambridge Univ. Press 20 (2008) 2, 225-243
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15
Pronunciation training in Dutch as a second language on the basis of automatic speech recognition
In: Stem-, Spraak- en Taalpathologie. - Nijmegen : Univ. Press 15 (2007) 2, 159-169
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16
Selecting segmental errors in non-native Dutch for optimal pronunciation training
In: International review of applied linguistics in language teaching. - Berlin : de Gruyter 44 (2006) 4, 357-404
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17
Selecting segmental errors in non-native Dutch for optimal pronunciation training
In: International review of applied linguistics in language teaching. - Berlin : de Gruyter 44 (2006) 4, 357
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18
Multiword expressions in spoken language: An exploratory study on pronunciation variation
In: Computer speech and language. - Amsterdam [u.a.] : Elsevier 19 (2005) 4, 433-449
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19
Multiword expressions
Villavicencio, Aline (Hrsg.); Bond, Francis (Hrsg.); Korhonen, Anna (Hrsg.). - Amsterdam [u.a.] : Elsevier, 2005
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20
A data-driven method for modeling pronunciation variation
In: Speech communication. - Amsterdam [u.a.] : Elsevier 40 (2003) 4, 517-534
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