Search Results for author: Sahar Ghannay

Found 16 papers, 5 papers with code

Evaluating the carbon footprint of NLP methods: a survey and analysis of existing tools

no code implementations EMNLP (sustainlp) 2021 Nesrine Bannour, Sahar Ghannay, Aurélie Névéol, Anne-Laure Ligozat

Modern Natural Language Processing (NLP) makes intensive use of deep learning methods because of the accuracy they offer for a variety of applications.

Named Entity Recognition

Overlap-aware low-latency online speaker diarization based on end-to-end local segmentation

1 code implementation14 Sep 2021 Juan M. Coria, Hervé Bredin, Sahar Ghannay, Sophie Rosset

We propose to address online speaker diarization as a combination of incremental clustering and local diarization applied to a rolling buffer updated every 500ms.

Speaker Diarization

Where are we in semantic concept extraction for Spoken Language Understanding?

no code implementations24 Jun 2021 Sahar Ghannay, Antoine Caubrière, Salima Mdhaffar, Gaëlle Laperrière, Bassam Jabaian, Yannick Estève

More recent works on self-supervised training with unlabeled data open new perspectives in term of performance for automatic speech recognition and natural language processing.

automatic-speech-recognition Language understanding +4

LIMSI_UPV at SemEval-2020 Task 9: Recurrent Convolutional Neural Network for Code-mixed Sentiment Analysis

1 code implementation30 Aug 2020 Somnath Banerjee, Sahar Ghannay, Sophie Rosset, Anne Vilnat, Paolo Rosso

This paper describes the participation of LIMSI UPV team in SemEval-2020 Task 9: Sentiment Analysis for Code-Mixed Social Media Text.

Sentiment Analysis

A Metric Learning Approach to Misogyny Categorization

no code implementations WS 2020 Juan Manuel Coria, Sahar Ghannay, Sophie Rosset, Herv{\'e} Bredin

The task of automatic misogyny identification and categorization has not received as much attention as other natural language tasks have, even though it is crucial for identifying hate speech in social Internet interactions.

Metric Learning Sentence Classification +1

A Comparison of Metric Learning Loss Functions for End-To-End Speaker Verification

1 code implementation31 Mar 2020 Juan M. Coria, Hervé Bredin, Sahar Ghannay, Sophie Rosset

Despite the growing popularity of metric learning approaches, very little work has attempted to perform a fair comparison of these techniques for speaker verification.

Fine-tuning Metric Learning +1

End-to-end named entity extraction from speech

no code implementations30 May 2018 Sahar Ghannay, Antoine Caubrière, Yannick Estève, Antoine Laurent, Emmanuel Morin

Until now, NER from speech is made through a pipeline process that consists in processing first an automatic speech recognition (ASR) on the audio and then processing a NER on the ASR outputs.

automatic-speech-recognition Entity Extraction using GAN +3

TED-LIUM 3: twice as much data and corpus repartition for experiments on speaker adaptation

2 code implementations12 May 2018 François Hernandez, Vincent Nguyen, Sahar Ghannay, Natalia Tomashenko, Yannick Estève

We present the recent development on Automatic Speech Recognition (ASR) systems in comparison with the two previous releases of the TED-LIUM Corpus from 2012 and 2014.

automatic-speech-recognition End-To-End Speech Recognition +1

ASR error management for improving spoken language understanding

no code implementations26 May 2017 Edwin Simonnet, Sahar Ghannay, Nathalie Camelin, Yannick Estève, Renato de Mori

This paper addresses the problem of automatic speech recognition (ASR) error detection and their use for improving spoken language understanding (SLU) systems.

automatic-speech-recognition Language understanding +3

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