output
20092026
most citedA distillation-based approach integrating continual learning and federated learning for pervasive services

33 citations

researchers with a paper here
collaborating institutions
Showing eess.SPShow all

3 papers · 1 filter

eess.SP2026

Listen to the Features: Voice Anonymization Driven by Content Embedding Matching over Signal Reconstruction

Adrien Schneider, Kacper Zabkowski, Anderson Augusma +3

The paper presents a voice anonymization model focusing on preserving content rather than producing realistic speech. It relies on content embeddings extracted from a frozen pretra…

eess.SP2022

Emotion Recognition with Pre-Trained Transformers Using Multimodal Signals

Juan Vazquez-Rodriguez, Grégoire Lefebvre, Julien Cumin +1

In this paper, we address the problem of multimodal emotion recognition from multiple physiological signals. We demonstrate that a Transformer-based approach is suitable for this t…

eess.SP2022

Morphological adjunctions represented by matrices in max-plus algebra for signal and image processing

Samy Blusseau, Santiago Velasco-Forero, Jesus Angulo +1

In discrete signal and image processing, many dilations and erosions can be written as the max-plus and min-plus product of a matrix on a vector. Previous studies considered operat…