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

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

H.5. Image Processing and Computer Vision
Iris localization by means of adaptive thresholding and Circular Hough Transform

S. Memar Zadeh; A. Harimi

Volume 5, Issue 1 , March 2017, , Pages 21-28

https://doi.org/10.22044/jadm.2016.731

Abstract
  In this paper, a new iris localization method for mobile devices is presented. Our system uses both intensity and saturation threshold on the captured eye images to determine iris boundary and sclera area, respectively. Estimated iris boundary pixels which have been placed outside the sclera will be ...  Read More

Classification of emotional speech using spectral pattern features

Ali Harimi; Ali Shahzadi; Alireza Ahmadyfard; Khashayar Yaghmaie

Volume 2, Issue 1 , March 2014, , Pages 53-61

https://doi.org/10.22044/jadm.2014.150

Abstract
  Speech Emotion Recognition (SER) is a new and challenging research area with a wide range of applications in man-machine interactions. The aim of a SER system is to recognize human emotion by analyzing the acoustics of speech sound. In this study, we propose Spectral Pattern features (SPs) and Harmonic ...  Read More

Estimation of LPC coefficients using Evolutionary Algorithms

Hossein Marvi; Zeynab Esmaileyan; Ali Harimi

Volume 1, Issue 2 , July 2013, , Pages 111-118

https://doi.org/10.22044/jadm.2013.115

Abstract
  The vast use of Linear Prediction Coefficients (LPC) in speech processing systems has intensified the importance of their accurate computation. This paper is concerned with computing LPC coefficients using evolutionary algorithms: Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Dif-ferential ...  Read More