output
20072025
most citedAn empirical model for the beams of radio pulsars

103 citations

16 papers

eess.AS2025

Exploring Dynamic Parameters for Vietnamese Gender-Independent ASR

Sotheara Leang, Éric Castelli, Dominique Vaufreydaz +1

The dynamic characteristics of speech signal provides temporal information and play an important role in enhancing Automatic Speech Recognition (ASR). In this work, we characterize…

cs.AI2024★ 26 cited

Human-Cobot collaboration's impact on success, time completion, errors, workload, gestures and acceptability during an assembly task

Étienne Fournier, Christine Jeoffrion, Belal Hmedan +3

The 5.0 industry promotes collaborative robots (cobots). This research studies the impacts of cobot collaboration using an experimental setup. 120 participants realized a simple an…

cs.GR2023

A Comprehensive Multi-scale Approach for Speech and Dynamics Synchrony in Talking Head Generation

Louis Airale, Dominique Vaufreydaz, Xavier Alameda-Pineda

Animating still face images with deep generative models using a speech input signal is an active research topic and has seen important recent progress.However, much of the effort h…

cs.AI2023★ 1 cited

Evaluation of Regularization-based Continual Learning Approaches: Application to HAR

Bonpagna Kann, Sandra Castellanos-Paez, Philippe Lalanda

Pervasive computing allows the provision of services in many important areas, including the relevant and dynamic field of health and well-being. In this domain, Human Activity Reco…

cs.LG2022★ 25 cited

Evaluation and comparison of federated learning algorithms for Human Activity Recognition on smartphones

Sannara Ek, François Portet, Philippe Lalanda +1

Pervasive computing promotes the integration of smart devices in our living spaces to develop services providing assistance to people. Such smart devices are increasingly relying o…

cs.CV2022★ 39 cited

Transformer-based Models to Deal with Heterogeneous Environments in Human Activity Recognition

Sannara EK, François Portet, Philippe Lalanda

Human Activity Recognition (HAR) on mobile devices has been demonstrated to be possible using neural models trained on data collected from the device's inertial measurement units.…