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Automatic language identity tagging on word and sentence-level in multilingual text sources: a case-study on Luxembourgish
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In: International Conference on Language Resources and Evaluation ; https://hal.archives-ouvertes.fr/hal-01843401 ; International Conference on Language Resources and Evaluation, May 2014, Reykjavik, Iceland (2014)
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Automatic Language Identity Tagging on Word and Sentence-Level in Multilingual Text Sources: a Case-Study on Luxembourgish
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In: Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14) ; Ninth International Conference on Language Resources and Evaluation (LREC'14) ; https://hal.archives-ouvertes.fr/hal-01134776 ; Ninth International Conference on Language Resources and Evaluation (LREC'14), European Language Resources Association (ELRA), May 2014, Reykjavik, Iceland. pp.3300-3304 ; http://lrec2014.lrec-conf.org/en/ (2014)
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MATTONG : Une interface graphique sous MatLab pour le suivi du contour de la langue à partir d'images ultrasons
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In: https://halshs.archives-ouvertes.fr/halshs-01129180 ; 2014 (2014)
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On the use of accelerometer sensors to study nasalisation in speech and singing voice
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In: International Seminar on Speech Production (ISSP 2014) ; https://halshs.archives-ouvertes.fr/halshs-01404796 ; International Seminar on Speech Production (ISSP 2014), May 2014, Cologne, Germany (2014)
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On the use of accelerometer sensors to study nasalization in speech and singing voice
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In: Proceedings of the 10th International Seminar on Speech Production (ISSP) ; 10th International Seminar on Speech Production (ISSP) ; https://halshs.archives-ouvertes.fr/halshs-01130264 ; 10th International Seminar on Speech Production (ISSP), May 2014, COLOGNE, Germany. pp.126-129 ; http://www.issp2014.uni-koeln.de/wp-content/uploads/2014/Proceedings_ISSP_revised.pdf (2014)
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A Multi-Sensor Helmet to Capture Rare Singing, an Intangible Cultural Heritage Study
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In: 10th International Seminar on Speech Production (ISSP) ; https://hal.archives-ouvertes.fr/hal-01188296 ; 10th International Seminar on Speech Production (ISSP), May 2014, Cologne, Germany. pp.5-8 ; www.issp2014.uni-koeln.de (2014)
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Modélisation acoustico-phonétique de langues peu dotées : Études phonétiques et travaux de reconnaissance automatique en luxembourgois
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In: Journées d'Etude sur la Parole ; https://hal.archives-ouvertes.fr/hal-01843399 ; Journées d'Etude sur la Parole, Jan 2014, Le Mans, France (2014)
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3D Tongue motion visualization based on ultrasound image sequences
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In: Interspeech 2014 ; https://halshs.archives-ouvertes.fr/halshs-01404834 ; Interspeech 2014, Sep 2014, Singapour, Singapore (2014)
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Echelle visuelle tridimensionnelle OCM pour évaluer le comportement du conduit vocal : exemple du Human Beatbox
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In: Société Internationale Francophone ORL (SIFORL) ; https://halshs.archives-ouvertes.fr/halshs-01405666 ; Société Internationale Francophone ORL (SIFORL), Jun 2014, Montréal, Canada (2014)
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Traitements automatiques de l’oral et de l’écrit
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In: https://halshs.archives-ouvertes.fr/halshs-01420863 ; France. 141, pp.4-8, 2014 (2014)
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| 11 |
Pronunciation variation in read and conversational austrian german
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In: 15th Annual Conference of the Inter- national Speech Communication Association (INTERSPEECH 2014) ; https://halshs.archives-ouvertes.fr/halshs-01424944 ; 15th Annual Conference of the Inter- national Speech Communication Association (INTERSPEECH 2014) , Sep 2014, Singapour, Singapore. pp.1453-1457 (2014)
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Acoustic Data Analysis from Multi-Sensor Capture in Rare Singing: Cantu in Paghjella Case Study
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In: in Proc. 1st Workshop on ICT for the Preservation and Transmission of Intangible Cultural Heritage, International Euro-Mediterranean Conference on Cultural Heritage (Euromed2014) ; https://halshs.archives-ouvertes.fr/halshs-01130325 ; in Proc. 1st Workshop on ICT for the Preservation and Transmission of Intangible Cultural Heritage, International Euro-Mediterranean Conference on Cultural Heritage (Euromed2014), Nov 2014, Lemessos, Cyprus (2014)
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How to assess the quality of automatic transcriptions for the extraction of named entities? ; Comment évaluer la qualité des transcriptions automatiques pour la détection d’entités nommées ?
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In: Actes des XXXe Journées d'Études sur la Parole (JEP'14) ; XXXe Journées d'Études sur la Parole (JEP'14) ; https://hal.archives-ouvertes.fr/hal-01134868 ; XXXe Journées d'Études sur la Parole (JEP'14), Jun 2014, Le Mans, France. pp.430-437 ; http://www-lium.univ-lemans.fr/jep2014/ (2014)
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| 14 |
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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Measuring Vocal Tract Agility from Videofiberscopic Data: The Human BeatBox Example
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In: Voice Foundation Symposium ; https://hal.archives-ouvertes.fr/hal-01099456 ; Voice Foundation Symposium, May 2014, Philadelphie, United States. pp.16-17 ; http://voicefoundation.org/wp-content/uploads/2014/03/Abstracts-20141.pdf (2014)
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| 17 |
ETER: a New Metric for the Evaluation of Hierarchical Named Entity Recognition
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In: Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14) ; Ninth International Conference on Language Resources and Evaluation (LREC'14) ; https://hal.archives-ouvertes.fr/hal-01134713 ; Ninth International Conference on Language Resources and Evaluation (LREC'14), European Language Resources Association (ELRA), May 2014, Reykjavik, Iceland. pp.3987-3994 ; http://lrec2014.lrec-conf.org/en/ (2014)
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| 18 |
Reconnaissance automatique de la parole
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In: ISSN: 0222-9838 ; EISSN: 1783-1601 ; L'information grammaticale ; https://hal.archives-ouvertes.fr/hal-01135037 ; L'information grammaticale, Peeters Publishers, 2014, TRAITEMENTS AUTOMATIQUES DE L’ORAL ET DE L’ÉCRIT (1) Panorama des recherches et des technologies actuelles, 141, pp.10 (2014)
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Speech Alignment and Recognition Experiments for Luxembourgish
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In: Proceedings of the 4th International Workshop on Spoken Language Technologies for Underresourced Languages ; 4th International Workshop on Spoken Language Technologies for Underresourced Languages ; https://hal.archives-ouvertes.fr/hal-01134824 ; 4th International Workshop on Spoken Language Technologies for Underresourced Languages, May 2014, Saint-Petersbourg, Russia. pp.53-60 ; http://www.mica.edu.vn/sltu2014/ (2014)
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Abstract:
International audience ; Luxembourgish, embedded in a multilingual context on the divide between Romance and Germanic cultures, remains one of Europe’s under-described languages. In this paper, we propose to study acoustic similarities between Luxembourgish and major contact languages (German, French, English) with the help of automatic speech alignment and recognition systems. Experiments were run using monolingual acoustic models trained on German, French and English together with (i) “multilingual” models trained on pooled speech data from these three languages, or with (ii) native Luxembourgish acoustic models from 1200 hours of untranscribed Luxembourgish audio data using unsupervised methods. We investigated whether Luxembourgish was globally better represented by one of the individual languages, by the multilingual model or by the native (unsupervised) model. While German provides globally the best acoustic match for native Luxembourgish, detailed analyses reveal language-specific preferences, in particular English and Luxembourgish models are preferred on diphthongs. The first ASR results illustrate the accuracy of the various sets of supervised monolingual and multilingual models versus unsupervised Luxembourgish acoustic models. The ASR word error rate is progressively reduced from 60 to 25% on the development data set by unsupervised training of larger context-dependent models on increasing anounts of audio data.
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Keyword:
[INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]; [SHS.LANGUE]Humanities and Social Sciences/Linguistics; acoustic modeling; forced alignment; language similarity; languages in contact; large vocabulary speech recognition; Luxembourgish; multilingual models; under-resourced languages; unsupervised training
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URL: https://hal.archives-ouvertes.fr/hal-01134824
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A First LVCSR System for Luxembourgish, a Low-Resourced European Language
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In: Human Language Technology Challenges for Computer Science and Linguistics ; https://hal.archives-ouvertes.fr/hal-01135103 ; Zygmunt Vetulani; Joseph Mariani. Human Language Technology Challenges for Computer Science and Linguistics, 8387, Springer International Publishing, pp.479-490, 2014, 5th Language and Technology Conference, LTC 2011, Poznań, Poland, November 25--27, 2011, Revised Selected Papers, 978-3-319-08957-7. ⟨10.1007/978-3-319-08958-4_39⟩ (2014)
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