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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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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)
Abstract: In this paper we present an experiment aimed at improving automatic phonetic transcription of Dutch spontaneous speech through a variant-based method of pronunciation variation modelling. For spontaneous speech, the literature does not always provide enough rules to describe its characteristic phonological processes. Therefore, other methods should be applied to model pronunciation variation for automatic phonetic transcription. We show that a large amount of manually transcribed phonetic data is an extremely useful source for collecting pronunciation variants and their prior probabilities. From the results we can conclude that the adopted method is indeed suitable for improving automatic transcription of spontaneous speech, and that further improvements can be obtained by combining this method with rule-based methods of pronunciation variation modelling.
URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.671.8594
http://www.lrec-conf.org/proceedings/lrec2004/pdf/558.pdf
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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)
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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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