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Morpho-Syntactic Study of Errors from Speech Recognition System
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In: International Conference on Language Resources and Evaluation ; https://hal.archives-ouvertes.fr/hal-01831243 ; International Conference on Language Resources and Evaluation, Jan 2014, Reykjavik, Iceland (2014)
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Analyzing linguistic variation in a Romanian speech corpus through ASR errors
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In: Laboratory Approaches to Romance Phonology ; https://hal.archives-ouvertes.fr/hal-01843421 ; Laboratory Approaches to Romance Phonology, Laboratoire Parole et Langage (UMR 6057), Aix-en-Provence, Sep 2014, Aix-en-Provence, France (2014)
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Exploring Pronunciation Variants for Romanian Speech-to-Text Transcription
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In: International Workshop on Spoken Languages Technologies for Under-resourced languages ; https://hal.archives-ouvertes.fr/hal-01843413 ; International Workshop on Spoken Languages Technologies for Under-resourced languages, May 2014, St. Petersburg, Russia (2014)
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Human Annotation of ASR Error Regions: is "gravity" a Sharable Concept for Human Annotators?
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In: Ninth International Conference on Language Resources and Evaluation (LREC'14) ; https://hal.archives-ouvertes.fr/hal-01134802 ; Ninth International Conference on Language Resources and Evaluation (LREC'14), May 2014, Reykjavik, Iceland. Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14), pp.3050-3056, 2014 ; http://lrec2014.lrec-conf.org/en/ (2014)
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A CRF-Based Approach to Automatic Disfluency Detection in a French Call-Centre Corpus
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In: Proceedings of the 15th Annual Conference of the International Speech Communication Association (Interspeech'14) ; 15th Annual Conference of the International Speech Communication Association (Interspeech'14) ; https://hal.archives-ouvertes.fr/hal-01134812 ; 15th Annual Conference of the International Speech Communication Association (Interspeech'14), International Speech Communication Association (ISCA), Sep 2014, Singapour, Singapore. pp.2897-2901 ; http://www.interspeech2014.org/public.php?page=home.html (2014)
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Abstract:
International audience ; In this paper, we present a Conditional Random Field based approach for automatic detection of edit disfluencies in a conversational telephone corpus in French. We define disfluency patterns using both linguistic and acoustic features to perform disfluency detection. Two related tasks are considered: the first task aims at detecting the disfluent speech portion proper or reparandum, i.e. the portion to be removed if we want to improve the readability of transcribed data ; in the second task, we aim at identifying also the corrected portion or repair which can be useful in follow-up discourse and dialogue analyses or in opinion mining. For these two tasks, we present comparative results as a function of the involved type of features (acoustic and/or linguistic). Generally speaking, best results are obtained by CRF models combining both acoustic and linguistic features.
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Keyword:
[INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]; [SHS.LANGUE]Humanities and Social Sciences/Linguistics; conditional random fields; conversational speech; disfluencies; spontaneous speech
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URL: https://hal.archives-ouvertes.fr/hal-01134812
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