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Développement d'un système de reconnaissance automatique de la parole en coréen avec peu de ressources annotées
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In: Journées d'Etude sur la Parole ; https://hal.archives-ouvertes.fr/hal-01843404 ; Journées d'Etude sur la Parole, Jan 2014, Le Mans, France (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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83 |
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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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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86 |
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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87 |
Language Diversity: Speech Processing In A Multi-Lingual Context
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In: Annual Conference of the International Speech Communication Association ; https://hal.archives-ouvertes.fr/hal-01843419 ; Annual Conference of the International Speech Communication Association , Haizhou Li, Helen Meng, Bin Ma, Eng Siong Chng, Lei Xie, Jan 2014, Singapore, Singapore (2014)
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88 |
Efficient Rule Scoring For Improved Grapheme-Based Lexicons ...
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89 |
Some issues affecting the transcription of hungarian broadcast audio
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In: Annual Conference of the International Speech Communication Association ; https://hal.archives-ouvertes.fr/hal-01843430 ; Annual Conference of the International Speech Communication Association , Aug 2013, Lyon, France (2013)
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90 |
Acoustic unit discovery and pronunciation generation from a grapheme-based lexicon
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In: IEEE Automatic Speech Recognition and Understanding Workshop ; https://hal.archives-ouvertes.fr/hal-01843433 ; IEEE Automatic Speech Recognition and Understanding Workshop, Dec 2013, Olomouc, Czech Republic (2013)
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91 |
Discriminative training of a phoneme confusion model for a dynamic lexicon in ASR
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In: Interspeech 2013 ; Annual Conference of the International Speech Communication Association ; https://hal.archives-ouvertes.fr/hal-01843427 ; Annual Conference of the International Speech Communication Association, Jan 2013, Lyon, France (2013)
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Abstract:
International audience ; To enhance the recognition lexicon, it is important to be able to add pronunciation variants while keeping the confusability introduced by the extra phonemic variation low. However, this confusability is not easily correlated with the ASR performance, as it is an inherent phenomenon of speech. This paper proposes a method to construct a multiple pronunciation lexicon with a high discriminability. To do so, a phoneme confusion model is used to expand the phonemic search space of pronunciation variants during ASR decoding and a discriminative framework is adopted for the training of the weights of the phoneme confusions. For the parameter estimation, two training algorithms are implemented, the perceptron and the CRF model, using finite state transducers. Experiments on English data were conducted using a large state-of-the-art ASR system of continuous speech.
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Keyword:
[INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]; [INFO]Computer Science [cs]; discriminative training; dynamic recognition lexicon; FST-based ASR decoding; phoneme confusion model
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URL: https://hal.archives-ouvertes.fr/hal-01843427 https://hal.archives-ouvertes.fr/hal-01843427/document https://hal.archives-ouvertes.fr/hal-01843427/file/karanasou13_interspeech.pdf
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Recent evolution of non-standard consonantal variants in French broadcast news
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In: Interspeech ; https://halshs.archives-ouvertes.fr/halshs-00856290 ; Interspeech, Aug 2013, Lyon, France. pp.412-416 (2013)
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Recent Evolution of Non Standard Consonantal Variants in French Broadcast News
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In: Annual Conference of the International Speech Communication Association ; https://hal.archives-ouvertes.fr/hal-01843431 ; Annual Conference of the International Speech Communication Association , International Speech Communication Association, F. Bimbot, C. Cerisara, C. Fougeron, G. Gravier, L. Lamel, F. Pellegrino, P. Perrier, Jan 2013, Lyon, France (2013)
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Unsupervised Acoustic Model Training with Limited Linguistic Resources
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In: IEEE Automatic Speech Recognition and Understanding Workshop ; https://hal.archives-ouvertes.fr/hal-01843476 ; IEEE Automatic Speech Recognition and Understanding Workshop, Jan 2013, Olomouc, Czech Republic (2013)
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What we can learn from ASR errors about low-resourced languages: a case- study of Luxembourgish and Austrian
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In: Errors by Humans and Machines in Multimedia, Multimodal, Multilingual Data Processing ; https://hal.archives-ouvertes.fr/hal-01843440 ; Errors by Humans and Machines in Multimedia, Multimodal, Multilingual Data Processing, Jan 2013, Ermenonville, France (2013)
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Embosi: automatic alignment with segments and words and phonological mining
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In: International Conference on Bantu Languages ; https://hal.archives-ouvertes.fr/hal-01843438 ; International Conference on Bantu Languages, Jan 2013, Paris, France (2013)
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What we can learn from asr errors about low-resourced languages: a case-study of luxembourgish and austrian
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In: Errors by Humans and Machines in Multimedia, Multimodal, Multilingual Data Processing (ERRARE 2013) ; https://halshs.archives-ouvertes.fr/halshs-01424902 ; Errors by Humans and Machines in Multimedia, Multimodal, Multilingual Data Processing (ERRARE 2013), Nov 2013, Ermenonville, France (2013)
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Embosi : automatic alignment with segments and words and phonological mining
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In: International Conference on Bantu Languages (BANTU 2013) ; https://halshs.archives-ouvertes.fr/halshs-01424894 ; International Conference on Bantu Languages (BANTU 2013), Jun 2013, Paris France (2013)
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Human annotation of asr error regions: Is ”gravity” a sharable concept for human annotators?
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In: Errors by Humans and Machines in Multimedia, Multimodal, Multilingual Data Processing (ERRARE 2013) ; https://halshs.archives-ouvertes.fr/halshs-01424915 ; Errors by Humans and Machines in Multimedia, Multimodal, Multilingual Data Processing (ERRARE 2013), Nov 2013, Ermenonville, France (2013)
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Systèmes de transcription comme instruments
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In: Méthodes et outils pour l'analyse phonétique des grands corpus oraux ; https://hal.archives-ouvertes.fr/hal-01135113 ; Nguyen Noël; Adda-Decker Martine. Méthodes et outils pour l'analyse phonétique des grands corpus oraux, Hermes Science Publications, pp.159-202, 2013, Cognition et Traitement de l'Information, 978-2746245303 (2013)
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