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20152025
most citedMultimodal Fusion with Deep Neural Networks for Audio-Video Emotion Recognition

43 citations · 132 across the 28 of their papers we have counts for

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Showing 2022Show all

6 papers · 1 filter

cs.CV2022★ 4 cited

Audio-Visual Fusion for Emotion Recognition in the Valence-Arousal Space Using Joint Cross-Attention

R Gnana Praveen, Eric Granger, Patrick Cardinal

Automatic emotion recognition (ER) has recently gained lot of interest due to its potential in many real-world applications. In this context, multimodal approaches have been shown…

cs.SD2022★ 2 cited

RSD-GAN: Regularized Sobolev Defense GAN Against Speech-to-Text Adversarial Attacks

Mohammad Esmaeilpour, Nourhene Chaalia, Patrick Cardinal

This paper introduces a new synthesis-based defense algorithm for counteracting with a varieties of adversarial attacks developed for challenging the performance of the cutting-edg…

cs.LG2022★ 2 cited

RCC-GAN: Regularized Compound Conditional GAN for Large-Scale Tabular Data Synthesis

Mohammad Esmaeilpour, Nourhene Chaalia, Adel Abusitta +3

This paper introduces a novel generative adversarial network (GAN) for synthesizing large-scale tabular databases which contain various features such as continuous, discrete, and b…

cs.SD2022

Named Entity Recognition for Audio De-Identification

Guillaume Baril, Patrick Cardinal, Alessandro Lameiras Koerich

Data anonymization is often a task carried out by humans. Automating it would reduce the cost and time required to complete this task. This paper presents a pipeline to automate th…

cs.SD2022★ 1 cited

From Environmental Sound Representation to Robustness of 2D CNN Models Against Adversarial Attacks

Mohammad Esmaeilpour, Patrick Cardinal, Alessandro Lameiras Koerich

This paper investigates the impact of different standard environmental sound representations (spectrograms) on the recognition performance and adversarial attack robustness of a vi…

cs.CV2022★ 4 cited

A Joint Cross-Attention Model for Audio-Visual Fusion in Dimensional Emotion Recognition

R. Gnana Praveen, Wheidima Carneiro de Melo, Nasib Ullah +8

Multimodal emotion recognition has recently gained much attention since it can leverage diverse and complementary relationships over multiple modalities (e.g., audio, visual, biosi…