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Sahar Ghannay
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Documents
Identifiants chercheurs
- sahar-ghannay
- 0000-0002-7531-2522
- IdRef : 220420521
Présentation
Associate professort at LIMSI, CNRS, Université Paris-Saclay
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Team: [ILES](https://www.limsi.fr/en/research/iles/home)
Email: sahar.ghannay@limsi.fr
Website: <https://saharghannay.github.io>
Short Bio
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Sahar Ghannay is an associate professor at Université Paris-Saclay, in the CNRS, [LISN](https://www.lisn.upsaclay.fr) research center, since September 2018.
She received a PhD in Computer Science from Le Mans University on Septembre 2017. Her thesis work is part of the ANR [VERA](https://anr.fr/Project-ANR-12-BS02-0006) (AdVanced ERror Analysis for speech recognition) project. During her PhD, she spent a few months as @ visiting researcher at Apple within the Siri Speech team.
As a postdoctoral researcher at [LIUM](https://lium.univ-lemans.fr/), she worked on neural end-to-end systems for the detection of named entities, speech understanding, as part of the Chist-Era [M2CR](https://projets-lium.univ-lemans.fr/m2cr/) (Multimodal Multilingual Continuous Representation for Human Language Understanding) project.
Her main research interests are continuous representations learning and their application to natural language processing and speech recognition tasks, semantic information extraction form spoken and writen language and dialog system.
CV
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Education
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- PHD in computer science, at LIUM, Le Mans université, 2017
- MS in computer science, Le Mans université, 2013
- BS in computer science, Le Mans université and université de sfax, 2011
Work Experience
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- 2018 - now: Associate Professort at LISN, CNRS, Université Paris-Saclay
- 2017-2018: Post-doc at LIUM, Le Mans université
- 2017 (4 moths): Internship at Apple within the Siri Speech team at Cupertino
- April 2013-Sept. 2014: research engineer
Publications
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A study of continuous space word and sentence representations applied to ASR error detectionSpeech Communication, 2020
Article dans une revue
hal-02501943v1
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Simulation d'erreurs de reconnaissance automatique dans un cadre de compréhension de la paroleXXXIIe Journées d'Etudes sur la Parole (JEP 2018), Jun 2018, Aix-en-Provence, France
Communication dans un congrès
hal-01757770v1
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Simulating ASR errors for training SLU systemsLREC 2018, May 2018, Miyazaki, Japan
Communication dans un congrès
hal-01715923v1
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Task Specific Sentence Embeddings for ASR Error DetectionInterspeech 2018, Sep 2018, Hyderabad, India. ⟨10.21437/Interspeech.2018-2211⟩
Communication dans un congrès
hal-01870864v1
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Représentations de phrases dans un espace continu spécifiques à la tâche de détection d'erreursXXXIIe Journées d'Etudes sur la Parole (JEP 2018), Jun 2018, Aix-en-Provence, France
Communication dans un congrès
hal-01757774v1
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ASR error management for improving spoken language understandingInterspeech 2017, Aug 2017, Stockholm, Sweden
Communication dans un congrès
hal-01526298v1
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Enriching confusion networks for post-processingStatistical Language and Speech Processing 2017, Oct 2017, Le Mans, France
Communication dans un congrès
hal-01585768v1
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Recent improvements on error detection for automatic speech recognition1st International Workshop on Multimodal Media Data Analytics (MMDA 2016), in Conjunction with the 22nd European Conference on Artificial Intelligence, 2016, The Hague The, Netherlands
Communication dans un congrès
hal-01433168v1
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Word embedding evaluation and combination10th edition of the Language Resources and Evaluation Conference (LREC 2016), 2016, Portorož, Slovenia
Communication dans un congrès
hal-01433185v1
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Utilisation des représentations continues des mots et des paramètres prosodiques pour la détection d’erreurs dans les transcriptions automatiques de la parole31ème Journées d’Études sur la Parole, 2016, Paris, France
Communication dans un congrès
hal-01450277v1
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Evaluation of acoustic word embeddingsRepEval@ACL 2016: The 1st Workshop on Evaluating Vector-Space Representations for NLP, 2016, Berlin, Germany
Communication dans un congrès
hal-01433181v1
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Acoustic word embeddings for ASR error detectionInterspeech 2016, 2016, San Francisco (CA, USA), Unknown Region
Communication dans un congrès
hal-01433176v1
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Combining continous word representation and prosodic features for ASR error prediction3rd International Conference on Statistical Language and Speech Processing (SLSP 2015), 2015, Budapest, Hungary
Communication dans un congrès
hal-01433203v1
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Which ASR errors are hard to detect?Workshop Errors by Humans and Machines in multimedia, multimodal and multilingual data processing (ERRARE 2015), 2015, Sinaia, Romania
Communication dans un congrès
hal-01433201v1
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Word embeddings combination and neural networks for robustness in ASR error detection2015 European Signal Processing Conference (EUSIPCO 2015), 2015, Nice, France
Communication dans un congrès
hal-01433210v1
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