Automated emotion recognition: Current trends and future perspectives
Background Human emotions greatly affect the actions of a person. The automated emotion
recognition has applications in multiple domains such as health care, e-learning …
recognition has applications in multiple domains such as health care, e-learning …
An ensemble 1D-CNN-LSTM-GRU model with data augmentation for speech emotion recognition
Precise recognition of emotion from speech signals aids in enhancing human–computer
interaction (HCI). The performance of a speech emotion recognition (SER) system depends …
interaction (HCI). The performance of a speech emotion recognition (SER) system depends …
A novel spatio-temporal convolutional neural framework for multimodal emotion recognition
Proposing a practical method for high-performance emotion recognition could facilitate
human–computer interaction. Among existing methods, deep learning techniques have …
human–computer interaction. Among existing methods, deep learning techniques have …
Analyzing the Influence of different Speech Data Corpora and Speech Features on Speech Emotion Recognition: A Review
T Rathi, M Tripathy - Speech Communication, 2024 - Elsevier
Emotion recognition from speech has become crucial in human-computer interaction and
affective computing applications. This review paper examines the complex relationship …
affective computing applications. This review paper examines the complex relationship …
A multilingual framework of CNN and bi-LSTM for emotion classification
A Yadav, DK Vishwakarma - 2020 11th international conference …, 2020 - ieeexplore.ieee.org
Speech emotion recognition is a crucial task for developing human-computer based
interfaces. However, many significant studies have focused on extracting low-level features …
interfaces. However, many significant studies have focused on extracting low-level features …
Multiscale-multichannel feature extraction and classification through one-dimensional convolutional neural network for Speech emotion recognition
M Liu, ANJ Raj, V Rajangam, K Ma, Z Zhuang… - Speech …, 2024 - Elsevier
Speech emotion recognition (SER) is a crucial field of research in artificial intelligence and
human–computer interaction. Extracting effective speech features for emotion recognition is …
human–computer interaction. Extracting effective speech features for emotion recognition is …
Language-independent hyperparameter optimization based speech emotion recognition system
A Thakur, SK Dhull - International Journal of Information Technology, 2022 - Springer
Speech emotion recognition is challenging due to substantially overlapping regions of
emotions. Extracting desired features that influence emotions in a speech and categorizing …
emotions. Extracting desired features that influence emotions in a speech and categorizing …
Learning better representations for audio-visual emotion recognition with common information
F Ma, W Zhang, Y Li, SL Huang, L Zhang - Applied Sciences, 2020 - mdpi.com
Audio-visual emotion recognition aims to distinguish human emotional states by integrating
the audio and visual data acquired in the expression of emotions. It is crucial for facilitating …
the audio and visual data acquired in the expression of emotions. It is crucial for facilitating …
A customizable framework for multimodal emotion recognition using ensemble of deep neural network models
C Dixit, SM Satapathy - Multimedia Systems, 2023 - Springer
Multimodal emotion recognition of videos of human oration, commonly called opinion
videos, has a wide scope of applications across all domains. Here, the speakers express …
videos, has a wide scope of applications across all domains. Here, the speakers express …
Procuring mfccs from crema-d dataset for sentiment analysis using deep learning models with hyperparameter tuning
Sentiment analysis is indispensable for scrutinizing the convoluted characteristics of the
human mind. In this paper, an attempt is made to perform a comprehensive analysis of …
human mind. In this paper, an attempt is made to perform a comprehensive analysis of …