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Automatic extraction of speech rhythm descriptors for speech intelligibility assessment in the context of Head and Neck Cancers
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In: à paraître ; INTERSPEECH 2021 ; https://hal-univ-tlse3.archives-ouvertes.fr/hal-03269227 ; INTERSPEECH 2021, ISCA : International Speech and Communication Association, Aug 2021, Brno, Czech Republic ; https://www.interspeech2021.org (2021)
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Char+CV-CTC: Combining Graphemes and Consonant/Vowel Units for CTC-Based ASR Using Multitask Learning
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In: Proceedings of INTERSPEECH 2019 ; 20th Annual Conference of the International Speech Communication Association (INTERSPEECH 2019) ; https://hal.archives-ouvertes.fr/hal-02419431 ; 20th Annual Conference of the International Speech Communication Association (INTERSPEECH 2019), Sep 2019, Graz, Austria. pp.1611-1615 (2019)
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Lexical Emphasis Detection in Spoken French using F-BANKs and neural networks
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In: SLSP 2017: Statistical Language and Speech Processing ; International Conference on Statistical Language and Speech Processing (SLSP 2017) ; https://hal.archives-ouvertes.fr/hal-02559768 ; International Conference on Statistical Language and Speech Processing (SLSP 2017), Oct 2017, Le Mans, France. pp.241-249 (2017)
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Rhythmic unit extraction and modelling for automatic language identification
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In: ISSN: 0167-6393 ; EISSN: 1872-7182 ; Speech Communication ; https://hal.archives-ouvertes.fr/hal-00664988 ; Speech Communication, Elsevier : North-Holland, 2005, 47 (4), pp.436-456 (2005)
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Extraction automatique de paramètres prosodiques pour l'identification automatique des langues
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In: ISSN: 0765-0019 ; EISSN: 1958-5608 ; Traitement du Signal ; https://hal.archives-ouvertes.fr/hal-00664990 ; Traitement du Signal, Lavoisier, 2005, 22 (2), pp.81-97 (2005)
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Abstract:
International audience ; The aim of this study is to propose a new approach to Automatic Language Identi - cation: it is based on rhythmic modelling and fundamental frequency modelling and does not require any hand labelled data. First we need to investigate how prosodic or rhythmic information can be taken into account for Automatic Language Identi cation. A new automatically extracted unit, the pseudo syllable, is introduced. Rhythmic and intonative features are then automatically extracted from this unit. Elementary decision modules are de ned with gaussian mixture models. These prosodic modellings are combined with a more classical approach, a vocalic system acoustic modelling. Experiments are conducted on the ve European languages of the MULTEXT corpus: English, French, German, Italian and Spanish. The relevance of the rhythmic parameters and the ef ciency of each system (rhythmic model, fundamental frequency model and vowel system model) are evaluated. The in uence of these approaches on the performances of automatic language identi cation system is addressed. We obtain 91 % of correct identi cation with 21 s. utterances using all the information sources.
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Keyword:
[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing; [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
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URL: https://hal.archives-ouvertes.fr/hal-00664990 https://hal.archives-ouvertes.fr/hal-00664990/document https://hal.archives-ouvertes.fr/hal-00664990/file/article.pdf
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Projet RAIVES (Recherche Automatique d'Informations Verbales Et Sonores) vers l'extraction et la structuration de données radiophoniques sur Internet
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In: https://hal.inria.fr/inria-00107633 ; [Contrat] A02-R-553 || parlangeau-valles02a, IRIT - Institut de recherche en informatique de Toulouse; LORIA (Université de Lorraine, CNRS, INRIA). 2002 (2002)
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Investigating Automatic Language Discrimination via Vowel System andConsonantal System Modeling
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In: Proceedings of the 14th international congress of phonetic sciences ; ISBN 1-56396-898-3 ; 14th International congress of Phonetic sciences (ICPhS 1999) ; https://hal.archives-ouvertes.fr/hal-03615573 ; 14th International congress of Phonetic sciences (ICPhS 1999), Linguistics Department, University of California, Berkeley, Aug 1999, San Francisco, Californie, United States ; http://hasegawa.berkeley.edu/Papers/Hasegawa%201-2a%201999%20ICPhS.pdf (1999)
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Automatic Articulatory Annotation of Multi Sensor Database
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In: 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings ; ISBN: 0-7803-3192-3 ; IEEE International Conference on Acoustics, Speech, and Signal Processing Conference (ICASSP 1996) ; https://hal.archives-ouvertes.fr/hal-03615575 ; IEEE International Conference on Acoustics, Speech, and Signal Processing Conference (ICASSP 1996), 1996, Atlanta, United States. pp.829--832, ⟨10.1109/ICASSP.1996.543249⟩ ; https://ieeexplore.ieee.org/document/543249 (1996)
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A Descriptive Framework for the Investigation of Spatio-Temporal Relationships among Track Variables
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In: Proceedings of 13th International Congress of Phonetic Sciences - 1995 (3 volumes) ; 13th Internatinal Congress of Phonetic Sciences (ICPhS 1995) ; https://hal.archives-ouvertes.fr/hal-03615580 ; 13th Internatinal Congress of Phonetic Sciences (ICPhS 1995), IPA : International Phonetic Association, Aug 1995, Stockholm, Sweden. pp.312-315 ; https://www.internationalphoneticassociation.org/icphs/icphs1995 (1995)
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