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20182026
most citedOn-the-fly Detection of User Engagement Decrease in Spontaneous Human-Robot Interaction, International Journal of Social Robotics, 2019

44 citations · 129 across the 46 of their papers we have counts for

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Showing 2023 · eess.ASShow all

5 papers · 2 filters

eess.AS2023

Speech Self-Supervised Representations Benchmarking: a Case for Larger Probing Heads

Salah Zaiem, Youcef Kemiche, Titouan Parcollet +2

Self-supervised learning (SSL) leverages large datasets of unlabeled speech to reach impressive performance with reduced amounts of annotated data. The high number of proposed appr…

eess.AS2023

SAMbA: Speech enhancement with Asynchronous ad-hoc Microphone Arrays

Nicolas Furnon, Romain Serizel, Slim Essid +1

Speech enhancement in ad-hoc microphone arrays is often hindered by the asynchronization of the devices composing the microphone array. Asynchronization comes from sampling time of…

eess.AS2023

Automatic Data Augmentation for Domain Adapted Fine-Tuning of Self-Supervised Speech Representations

Salah Zaiem, Titouan Parcollet, Slim Essid

Self-Supervised Learning (SSL) has allowed leveraging large amounts of unlabeled speech data to improve the performance of speech recognition models even with small annotated datas…

eess.AS2023

Speech Self-Supervised Representation Benchmarking: Are We Doing it Right?

Salah Zaiem, Youcef Kemiche, Titouan Parcollet +2

Self-supervised learning (SSL) has recently allowed leveraging large datasets of unlabeled speech signals to reach impressive performance on speech tasks using only small amounts o…

eess.AS2023★ 2 cited

Fine-tuning Strategies for Faster Inference using Speech Self-Supervised Models: A Comparative Study

Salah Zaiem, Robin Algayres, Titouan Parcollet +2

Self-supervised learning (SSL) has allowed substantial progress in Automatic Speech Recognition (ASR) performance in low-resource settings. In this context, it has been demonstrate…