Audio-visual emotion recognition based on a deep convolutional neural network

Kh. Aghajani

Volume 10, Issue 4 , November 2022, , Pages 529-537

https://doi.org/10.22044/jadm.2022.11809.2331

Abstract
  Emotion recognition has several applications in various fields, including human-computer interactions. In recent years, various methods have been proposed to recognize emotion using facial or speech information. While the fusion of these two has been paid less attention in emotion recognition. In this ...  Read More

Speech Emotion Recognition using Enriched Spectrogram and Deep Convolutional Neural Network Transfer Learning

B. Z. Mansouri; H.R. Ghaffary; A. Harimi

Volume 10, Issue 4 , November 2022, , Pages 539-547

https://doi.org/10.22044/jadm.2022.12241.2372

Abstract
  Speech emotion recognition (SER) is a challenging field of research that has attracted attention during the last two decades. Feature extraction has been reported as the most challenging issue in SER systems. Deep neural networks could partially solve this problem in some other applications. In order ...  Read More

Convolutional Neural Network Equipped with Attention Mechanism and Transfer Learning for Enhancing Performance of Sentiment Analysis

H. Sadr; Mir M. Pedram; M. Teshnehlab

Volume 9, Issue 2 , April 2021, , Pages 141-151

https://doi.org/10.22044/jadm.2021.9618.2100

Abstract
  With the rapid development of textual information on the web, sentiment analysis is changing to an essential analytic tool rather than an academic endeavor and numerous studies have been carried out in recent years to address this issue. By the emergence of deep learning, deep neural networks have attracted ...  Read More

Facial Expression Recognition based on Image Gradient and Deep Convolutional Neural Network

M. R. Fallahzadeh; F. Farokhi; A. Harimi; R. Sabbaghi-Nadooshan

Volume 9, Issue 2 , April 2021, , Pages 259-268

https://doi.org/10.22044/jadm.2021.9898.2121

Abstract
  Facial Expression Recognition (FER) is one of the basic ways of interacting with machines and has been getting more attention in recent years. In this paper, a novel FER system based on a deep convolutional neural network (DCNN) is presented. Motivated by the powerful ability of DCNN to learn features ...  Read More