43 citations · 47 across the 4 of their papers we have counts for
5 papers
Bag-of-Audio-Words based on Autoencoder Codebook for Continuous Emotion Prediction
Mohammed Senoussaoui, Patrick Cardinal, Alessandro Lameiras Koerich
In this paper we present a novel approach for extracting a Bag-of-Words (BoW) representation based on a Neural Network codebook. The conventional BoW model is based on a dictionary…
Multimodal Fusion with Deep Neural Networks for Audio-Video Emotion Recognition
Juan D. S. Ortega, Mohammed Senoussaoui, Eric Granger +3
This paper presents a novel deep neural network (DNN) for multimodal fusion of audio, video and text modalities for emotion recognition. The proposed DNN architecture has independe…
Emotion Recognition Using Fusion of Audio and Video Features
Juan D. S. Ortega, Patrick Cardinal, Alessandro L. Koerich
In this paper we propose a fusion approach to continuous emotion recognition that combines visual and auditory modalities in their representation spaces to predict the arousal and…
Speaker Sincerity Detection based on Covariance Feature Vectors and Ensemble Methods
Mohammed Senoussaoui, Patrick Cardinal, Najim Dehak +1
Automatic measuring of speaker sincerity degree is a novel research problem in computational paralinguistics. This paper proposes covariance-based feature vectors to model speech a…
End-to-End Environmental Sound Classification using a 1D Convolutional Neural Network
Sajjad Abdoli, Patrick Cardinal, Alessandro Lameiras Koerich
In this paper, we present an end-to-end approach for environmental sound classification based on a 1D Convolution Neural Network (CNN) that learns a representation directly from th…