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Sahar Ghannay
5
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
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Continual self-supervised domain adaptation for end-to-end speaker diarizationIEEE Spoken Language Technology Workshop (SLT 2022), IEEE Speech and Language Processing Technical Committee, Jan 2023, Doha, Qatar. à paraître
Communication dans un congrès
hal-03824546v1
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Analyzing BERT Cross-lingual Transfer Capabilities in Continual Sequence LabelingFirst Workshop on Performance and Interpretability Evaluations of Multimodal, Multipurpose, Massive-Scale Models, Oct 2022, virtual, South Korea
Communication dans un congrès
hal-03824597v1
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OVERLAP-AWARE LOW-LATENCY ONLINE SPEAKER DIARIZATION BASED ON END-TO-END LOCAL SEGMENTATIONIEEE Automatic Speech Recognition and Unserstanding Workshop, Dec 2021, Cartagena, Colombia
Communication dans un congrès
hal-03375330v1
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A Comparison of Metric Learning Loss Functions for End-To-End Speaker VerificationInternational Conference on Statistical Language and Speech Processing, Oct 2020, Cardiff, United Kingdom. pp.137-148, ⟨10.1007/978-3-030-59430-5_11⟩
Communication dans un congrès
hal-02989334v1
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A Metric Learning Approach to Misogyny CategorizationWorkshop on Representation Learning for NLP, Jul 2020, Online, France. pp.89-94, ⟨10.18653/v1/2020.repl4nlp-1.12⟩
Communication dans un congrès
hal-02989293v1
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