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1
Comparing classifiers for pronunciation error detection
In: http://academic.sun.ac.za/su_clast/documents/interspeech_2007_strik.pdf (2007)
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JASMIN-CGN: Extension of the Spoken Dutch Corpus with speech of elderly people, children and nonnatives in the human-machine interaction modality
In: http://taalunieversum.org/archief/taal/technologie/stevin/documenten/LREC2006-jasminpap07.pdf (2006)
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3
Jasmin-cgn: Extension of the spoken dutch corpus with speech of elderly people, children and non-natives in the human-machine interaction modality
In: http://www.cs.brandeis.edu/~marc/misc/proceedings/lrec-2006/pdf/254_pdf.pdf (2006)
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4
Selecting segmental errors in non-native Dutch for optimal pronunciation training
In: http://lands.let.kun.nl/literature/neri.2006.3.pdf (2006)
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5
Multiword Expressions in Spoken Language: An Exploratory Study on Pronunciation Variation
In: http://lands.let.kun.nl/literature/binnenpoorte.2005.1.pdf (2005)
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6
Automatic pronunciation error detection: an acoustic-phonetic approach
In: http://isca-speech.org/archive_open/archive_papers/icall2004/iic4_032.pdf (2004)
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7
Improving automatic phonetic transcription of spontaneous speech through variant-based pronunciation variation modelling
In: http://www.lrec-conf.org/proceedings/lrec2004/pdf/558.pdf (2004)
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8
Improving Automatic Phonetic Transcription of Spontaneous Speech through Variant-Based Pronunciation Variation Modelling
In: http://lands.let.kun.nl/literature/binnenpoorte.2004.1.pdf (2004)
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9
Automatic Phonetic Transcription: An Overview
In: http://lands.let.kun.nl/literature/catia.2003.1.pdf (2003)
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10
How to Improve Human and Machine Transcriptions of Spontaneous Speech
In: http://lands.let.kun.nl/literature/binnenpoorte.2003.2.pdf (2003)
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11
How to Improve Human and Machine Transcriptions of Spontaneous Speech
In: http://lands.let.ru.nl/cgn/publs/ssprcgn.pdf (2003)
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12
Phonetic Transcription of Large Speech Corpora: How to boost efficiency without affecting quality
In: http://lands.let.kun.nl/literature/binnenpoorte.2003.1.pdf (2003)
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13
Validation and Improvement of Automatic Phonetic Transcriptions
In: http://lands.let.kun.nl/literature/catia.2002.1.pdf (2002)
Abstract: The ultimate aim of our research is to show that good-quality phonetic transcriptions of large speech corpora can be obtained by employing automatic techniques initially developed for ASR. The experiment presented in this paper has two aims. The first is to show how the quality of an automatic transcription that is easily obtained through lexicon lookup can be measured in a way that is methodologically sound. The second is to show how, while measuring the quality of an automatic transcription, it is possible to obtain information that can subsequently be used to improve the automatic transcription where necessary. As a result, correction by human transcribers should become more efficient or even superfluous.
URL: http://lands.let.kun.nl/literature/catia.2002.1.pdf
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.19.7913
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14
/r/-deletion in Dutch: rumours or reality?
In: http://lands.let.kun.nl/literature/heuvel.2001.6.ps (2001)
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15
Obtaining Phonetic Transcriptions: A Comparison between Expert Listeners and a Continuous Speech Recognizer
In: http://lands.let.kun.nl/literature/wester.2001.3.pdf (2001)
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16
Effective feedback on L2 pronunciation in ASR-based CALL
In: http://lands.let.ru.nl/TSpublic/strik/publications/a77.pdf (2001)
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17
Effective feedback on L2 pronunciation in ASR-based CALL
In: http://lands.let.kun.nl/literature/neri.2001.1.pdf (2001)
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18
Effective feedback on L2 pronunciation in ASR-based CALL
In: http://lands.let.kun.nl/literature/neri.2001.1.ps (2001)
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19
Quantitative assessment of second language learners' fluency by means of automatic speech recognition technology
In: http://www.cs.columbia.edu/~amaxwell/candidacy/l2learning/catia.1998.3.pdf (2000)
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20
Postvocalic /r/-Deletion In Dutch: More Experimental Evidence
In: http://iris1.let.kun.nl/literature/heuvel.1999.3.ps (1999)
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