CyTex: Transforming speech to textured images for speech emotion recognition
Speech emotion recognition is an important aspect of emotional state recognition in human–
machine interaction. Approaches using speech-to-image transforms have become popular …
machine interaction. Approaches using speech-to-image transforms have become popular …
Deep convolutional neural network and gray wolf optimization algorithm for speech emotion recognition
Speech emotion recognition (SER), an important method of emotional human–machine
interaction, has been the focus of much research in recent years. Motivated by powerful …
interaction, has been the focus of much research in recent years. Motivated by powerful …
Speech emotion recognition research: an analysis of research focus
This article analyses research in speech emotion recognition (“SER”) from 2006 to 2017 in
order to identify the current focus of research, and areas in which research is lacking. The …
order to identify the current focus of research, and areas in which research is lacking. The …
[HTML][HTML] Classification of heart sounds using chaogram transform and deep convolutional neural network transfer learning
A Harimi, Y Majd, AA Gharahbagh, V Hajihashemi… - Sensors, 2022 - mdpi.com
Heart sounds convey important information regarding potential heart diseases. Currently,
heart sound classification attracts many researchers from the fields of telemedicine, digital …
heart sound classification attracts many researchers from the fields of telemedicine, digital …
Anomalous sound detection for machine condition monitoring using 3D tensor representation of sound and 3D deep convolutional neural network
M Khanjari, A Azarfar, MH Abardeh… - Multimedia Tools and …, 2024 - Springer
This study introduces a novel approach that utilizes a three-dimensional tensor
representation of machine-generated audio signals, serving as a suitable input for a three …
representation of machine-generated audio signals, serving as a suitable input for a three …
[HTML][HTML] Deep-CNN based knowledge learning with beluga whale optimization using chaogram transformation using intelligent sensors for speech emotion …
C Deepika, S Kuchibhotla - Measurement: Sensors, 2024 - Elsevier
In recent times, there has been a lot of focus placed on speech emotion recognition, often
known as SER. SER is a fundamental approach to emotional human-machine interaction …
known as SER. SER is a fundamental approach to emotional human-machine interaction …
A 3D tensor representation of speech and 3D convolutional neural network for emotion recognition
Speech emotion recognition (SER) is one of the most important approaches for emotional
human–computer interaction. Hence, in recent years, SER has received a great deal of …
human–computer interaction. Hence, in recent years, SER has received a great deal of …
End-to-end speech emotion recognition based on time and frequency information using deep neural networks
We propose a speech emotion recognition system based on deep neural networks,
operating on raw speech data in an end-to-end manner to predict continuous emotions in …
operating on raw speech data in an end-to-end manner to predict continuous emotions in …
Human emotion recognition using acoustic features with optimized feature selection and fusion techniques
D Lingampeta, B Yalamanchili - 2020 International conference …, 2020 - ieeexplore.ieee.org
Human Emotion Recognition (HER) system is used for automatic recognition of human
emotional states and take necessary actions based on negative emotions. This process …
emotional states and take necessary actions based on negative emotions. This process …
Speech emotion recognition using enriched spectrogram and deep convolutional neural network transfer learning
BZ Mansouri, HR Ghaffary… - Journal of AI and Data …, 2022 - jad.shahroodut.ac.ir
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 …
attention during the last two decades. Feature extraction has been reported as the most …