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Automatic Speech Recognition : from hybrid to end-to-end approach ; Reconnaissance automatique de la parole à large vocabulaire : des approches hybrides aux approches End-to-End
Heba, Abdelwahab. - : HAL CCSD, 2021
In: https://tel.archives-ouvertes.fr/tel-03616588 ; Intelligence artificielle [cs.AI]. Université Paul Sabatier - Toulouse III, 2021. Français. ⟨NNT : 2021TOU30116⟩ (2021)
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Large vocabulary automatic speech recognition: from hybrid to end-to-end approaches ; Reconnaissance automatique de la parole à large vocabulaire : des approches hybrides aux approches End-to-End
Heba, Abdelwahab. - : HAL CCSD, 2021
In: https://hal.archives-ouvertes.fr/tel-03269807 ; Son [cs.SD]. Université toulouse 3 Paul Sabatier, 2021. Français (2021)
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Char+CV-CTC: Combining Graphemes and Consonant/Vowel Units for CTC-Based ASR Using Multitask Learning
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
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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5
Twist your logic with TouIST
In: Proceedings of the 4th International Conference on Tools for Teaching Logic ; 4th International Congress on Tools for Teaching Logic (TTL 2015) ; https://hal.archives-ouvertes.fr/hal-01671317 ; 4th International Congress on Tools for Teaching Logic (TTL 2015), IRISA: Institut de Recherche en Informatique et Systèmes Aléatoires; INRIA, Jun 2015, Rennes, France. pp.1-8 ; http://ttl2015.irisa.fr/ (2015)
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Twist your logic with TouIST ...
Abstract: SAT provers are powerful tools for solving real-sized logic problems, but using them requires solid programming knowledge and may be seen w.r.t.\ logic like assembly language w.r.t.\ programming. Something like a high level language was missing to ease various users to take benefit of these tools. {\sc \texttt {TouIST}}\ aims at filling this gap. It is devoted to propositional logic and its main features are 1) to offer a high-level logic langage for expressing succintly complex formulas (e.g.\ formulas describing Sudoku rules, planification problems,\ldots) and 2) to find models to these formulas by using the adequate powerful prover, which the user has no need to know about. It consists in a friendly interface that offers several syntactic facilities and which is connected with some sufficiently powerful provers allowing to automatically solve big instances of difficult problems (such as time-tables or Sudokus). It can interact with various provers: pure SAT solver but also SMT provers (SAT modulo theories ... : Proceedings of the Fourth International Conference on Tools for Teaching Logic (TTL2015), Rennes, France, June 9-12, 2015. Editors: M. Antonia Huertas, Jo\~ao Marcos, Mar'ia Manzano, Sophie Pinchinat, Fran\c{c}ois Schwarzentruber ...
Keyword: Artificial Intelligence cs.AI; Computers and Society cs.CY; FOS Computer and information sciences; K.3.2; I.2.8
URL: https://arxiv.org/abs/1507.03663
https://dx.doi.org/10.48550/arxiv.1507.03663
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