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Жанровые особенности допроса Р. Мюллера (Robert Mueller Testimony) ... : Discursive personality of the Bundeskanzler of Germany ...
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The Effects of Cultural Knowledge and Exposure on Speech and Language Assessments
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Development of a Korean speech recognition system with little annontated data
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In: International Workshop on Spoken Languages Technologies for Under-resourced languages ; https://hal.archives-ouvertes.fr/hal-01843405 ; International Workshop on Spoken Languages Technologies for Under-resourced languages, May 2014, St Petersburg, Russia (2014)
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CallSurf - Automatic transcription, indexing and structuration of call center conversational speech for knowledge extraction and query by content
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In: Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC'08) ; Sixth International Conference on Language Resources and Evaluation (LREC'08) ; https://hal.archives-ouvertes.fr/hal-00716016 ; Sixth International Conference on Language Resources and Evaluation (LREC'08), May 2008, Marrakech, Morocco. pp.2623-2628 (2008)
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Abstract:
International audience ; Being the client's first interface, call centres worldwide contain a huge amount of information of all kind under the form of conversational speech. If accessible, this information can be used to detect eg. major events and organizational flaws, improve customer relations and marketing strategies. An efficient way to exploit the unstructured data of telephone calls is data-mining, but current techniques apply on text only. The CALLSURF project gathers a number of academic and industrial partners covering the complete platform, from automatic transcription to information retrieval and data mining. This paper concentrates on the speech recognition module as it discusses the collection, the manual transcription of the training corpus and the techniques used to build the language model. The NLP techniques used to pre-process the transcribed corpus for data mining are POS tagging, lemmatization, noun group and named entity recognition. Some of them have been especially adapted to the conversational speech characteristics. POS tagging and preliminary data mining results obtained on the manually transcribed corpus are briefly discussed.
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Keyword:
[SCCO.COMP]Cognitive science/Computer science; call center transcripts; conversational speech
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URL: https://hal.archives-ouvertes.fr/hal-00716016
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AnswerFinder at QAst 2007 : named entity recognition for QA on speech transcripts
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The Effect of Speech Recognition Accuracy Rates on the Usefulness and Usability of Webcast Archives
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In: http://www.cs.toronto.edu/~mcosmin/publications/chi2006final.pdf (2006)
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The effect of speech recognition accuracy rates on the usefulness and usability of webcast archives
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In: http://kmdi.utoronto.ca/rmb/papers/D56.pdf (2006)
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Towards better subtitles: A multilingual approach for punctuation restoration of speech transcripts
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Selection and Ranking of Text from Highly Imperfect Transcripts for Retrieval of Video Content
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In: http://www.aquaphoenix.com/publication/sigir2007_textranking.pdf
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MIRACLE at VideoCLEF 2008: Classification of Multilingual Speech Transcripts
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In: http://clef.isti.cnr.it/2008/working_notes/Villena2-paperCLEF2008_MIRACLE_Vid2RSS2008.pdf
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An On-line Speaker Adaptation Method for HMM-based Speech Recognizers
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In: http://www.inf.u-szeged.hu/actacybernetica/edb/vol18n3/pdf/Banhalmi_2008_ActaCybernetica.pdf
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VideoCLEF 2008: ASR Classification based on Wikipedia Categories
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In: http://clef.isti.cnr.it/2008/working_notes/kuersten-videoclef-paperCLEF2008.pdf
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QA Extension for Xtrieval: Contribution to the QAst track
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In: http://clef.isti.cnr.it/2008/working_notes/kuersten-qast-paperCLEF2008.pdf
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Overview of QAST 2009
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In: http://clef.isti.cnr.it/2009/working_notes/QAST2009-overview.pdf
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Exploiting Speech Recognition Transcripts for Narrative Peak Detection in Short-Form Documentaries
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In: http://clef.isti.cnr.it/2009/working_notes/larson-paperCLEF2009.pdf
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Overview of QAST 2008
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In: http://www.clef-campaign.org/2008/working_notes/turmo_QAST2008-overview.pdf
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