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Detailed pronunciation variant modeling for speech transcription
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In: INTERSPEECH ; https://hal.inria.fr/inria-00528225 ; INTERSPEECH, ISCA, Sep 2010, Makuhari, Japan ; http://www.isca-speech.org/archive/interspeech_2010/i10_2278.html (2010)
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Detection of OOV words by combining acoustic confidence measures with linguistic features
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In: proceedings of Automatic Speech Recognition and Understanding ; The eleventh biannual IEEE workshop on Automatic Speech Recognition and Understanding (ASRU) ; https://hal.archives-ouvertes.fr/hal-00435087 ; The eleventh biannual IEEE workshop on Automatic Speech Recognition and Understanding (ASRU), Dec 2009, Merano, Italy. pp.1-4 (2009)
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JTrans, an open-source software for semi-automatic text-to-speech alignment
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In: Proceedings of the 10th Annual Conference of the International Speech Communication Association - Interspeech 2009 ; https://hal.inria.fr/inria-00431398 ; Proceedings of the 10th Annual Conference of the International Speech Communication Association - Interspeech 2009, Sep 2009, Brighton, United Kingdom (2009)
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66 |
Frame-Synchronous and Local Confidence Measures for on-the-fly Automatic Speech Recognition.
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In: InterSpeech ; https://hal.inria.fr/inria-00325519 ; InterSpeech, Sep 2008, Brisbane, Australia (2008)
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67 |
Identification de l'origine des locuteurs non natifs en utilisant des paramètres prosodiques
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In: XXVIIèmes Journées d'Étude sur la Parole - JEP'08 ; https://hal.inria.fr/inria-00327696 ; XXVIIèmes Journées d'Étude sur la Parole - JEP'08, Jun 2008, Avignon, France (2008)
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Mesures de confiance locales et trame-synchrones
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In: XXVIIèmes Journées d'Etude sur la Parole - JEP 2008 ; https://hal.inria.fr/inria-00289905 ; XXVIIèmes Journées d'Etude sur la Parole - JEP 2008, 2008, Avignon, France (2008)
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69 |
Transcribing Southern Min Speech Corpora with a Web-Based Language Learning System
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In: International Conference on Audio, Language and Image Processing - ICALIP 2008 ; https://hal.inria.fr/inria-00336375 ; International Conference on Audio, Language and Image Processing - ICALIP 2008, Jul 2008, Shangai, China (2008)
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70 |
Multi-Accent and Accent-Independent Non-Native Speech Recognition
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In: INTERSPEECH ; https://hal.inria.fr/inria-00327709 ; INTERSPEECH, Sep 2008, Brisbane, Australia (2008)
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71 |
Frame-Synchronous And Local Confidence Measures For On-The-Fly Keyword Spotting
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In: International Symposium on Signal Processing and its Applications - ISSPA 2007 ; https://hal.inria.fr/inria-00134135 ; International Symposium on Signal Processing and its Applications - ISSPA 2007, Feb 2007, Sharjah, United Arab Emirates. pp.1-4 (2007)
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72 |
Amélioration des Performances des Systèmes Automatiques de Reconnaissance de la Parole pour la Parole Non Native
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In: Traitement et Analyse de l'Information : Méthodes et Applications - TAIMA'07 ; https://hal.inria.fr/inria-00184565 ; Traitement et Analyse de l'Information : Méthodes et Applications - TAIMA'07, Jean-Paul Haton and Faouzi Ghorbel, May 2007, Hammamet, Tunisie (2007)
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73 |
Text-Independent Foreign Accent Classification Using Statistical Methods
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In: proceedings of IEEE International Conference on Signal Processing and Communications ; International Conference on Signal Processing and Communications ; https://hal.archives-ouvertes.fr/hal-00163745 ; International Conference on Signal Processing and Communications, Nov 2007, Dubai, United Arab Emirates. pp.4 (2007)
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74 |
Combined Acoustic and Pronunciation Modelling for Non-Native Speech Recognition ...
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76 |
Fully Automated Non-Native Speech Recognition Using Confusion-Based Acoustic Model Integration And Graphemic Constraints
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In: IEEE International Conference on Acoustics, Speech, and Signal Processing - ICASSP 2006 ; https://hal.inria.fr/inria-00110492 ; IEEE International Conference on Acoustics, Speech, and Signal Processing - ICASSP 2006, May 2006, Toulouse/France (2006)
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77 |
Détection automatique de sons bien réalisés
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In: Actes des XXVes Journées d'Étude sur la Parole - JEP'2004 ; https://hal.inria.fr/inria-00099895 ; Actes des XXVes Journées d'Étude sur la Parole - JEP'2004, 2004, Fès, Maroc, 4 p (2004)
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Abstract:
Colloque avec actes et comité de lecture. nationale. ; National audience ; Given a phonetic context, sounds can be uttered with more or less salient acoustic cues depending on the speech style and prosody. In a previous work we studied strong acoustic cues of unvoiced stops that enable a very reliable identification of stops. In this paper we use this background idea again with a view of exploiting well realized sounds to enhance speech intelligibility within the framework of language learning. We thus designed an elitist learning of HMM that make very reliable phone models emerge. The learning is iterated by feeding phones identified correctly at the previous iteration into the learning algorithm. In this way models specialize to represent well realized sounds. Experiments were carried out on the BREF 80 corpus by constructing well realized phone models for unvoiced stops. They show that these contextual models triggered off in 60% of stops occurrences with an extremely low confusion rate.
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Keyword:
[INFO.INFO-OH]Computer Science [cs]/Other [cs.OH]; acoustic cues; automatic recognition; indices acoustiques; markov models; modèles de markov; reconnaissance automatique; sons; sounds
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URL: https://hal.inria.fr/inria-00099895/document https://hal.inria.fr/inria-00099895/file/A04-R-284.pdf https://hal.inria.fr/inria-00099895
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On-Line Frame-Synchronous Noise Compensation
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In: The 15th International Congress of Phonetic Sciences - ICPhS 2003 ; https://hal.inria.fr/inria-00099791 ; The 15th International Congress of Phonetic Sciences - ICPhS 2003, Aug 2003, Barcelone, Espagne, 4 p (2003)
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