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 …
Speech emotion recognition approaches: A systematic review
A Hashem, M Arif, M Alghamdi - Speech Communication, 2023 - Elsevier
The speech emotion recognition (SER) field has been active since it became a crucial
feature in advanced Human-Computer Interaction (HCI), and wide real-life applications use …
feature in advanced Human-Computer Interaction (HCI), and wide real-life applications use …
Streamflow prediction using an integrated methodology based on convolutional neural network and long short-term memory networks
Streamflow (Q flow) prediction is one of the essential steps for the reliable and robust water
resources planning and management. It is highly vital for hydropower operation, agricultural …
resources planning and management. It is highly vital for hydropower operation, agricultural …
Human‐computer interaction for recognizing speech emotions using multilayer perceptron classifier
AA Alnuaim, M Zakariah, PK Shukla… - Journal of …, 2022 - Wiley Online Library
Human‐computer interaction (HCI) has seen a paradigm shift from textual or display‐based
control toward more intuitive control modalities such as voice, gesture, and mimicry …
control toward more intuitive control modalities such as voice, gesture, and mimicry …
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 …
Human‐Computer Interaction with Detection of Speaker Emotions Using Convolution Neural Networks
AA Alnuaim, M Zakariah, A Alhadlaq… - Computational …, 2022 - Wiley Online Library
Emotions play an essential role in human relationships, and many real‐time applications
rely on interpreting the speaker's emotion from their words. Speech emotion recognition …
rely on interpreting the speaker's emotion from their words. Speech emotion recognition …
GCNet: Graph completion network for incomplete multimodal learning in conversation
Conversations have become a critical data format on social media platforms. Understanding
conversation from emotion, content and other aspects also attracts increasing attention from …
conversation from emotion, content and other aspects also attracts increasing attention from …
[HTML][HTML] From time-series to 2d images for building occupancy prediction using deep transfer learning
Building occupancy information could aid energy preservation while simultaneously
maintaining the end-user comfort level. Energy conservation becomes essential since …
maintaining the end-user comfort level. Energy conservation becomes essential since …
Learning multi-scale features for speech emotion recognition with connection attention mechanism
Speech emotion recognition (SER) has become a crucial topic in the field of human–
computer interactions. Feature representation plays an important role in SER, but there are …
computer interactions. Feature representation plays an important role in SER, but there are …
Trend attention fully convolutional network for remaining useful life estimation
L Fan, Y Chai, X Chen - Reliability Engineering & System Safety, 2022 - Elsevier
Modern engineered systems usually employ multiple sensors to monitor equipment health
status. However, most remaining useful life (RUL) estimation methods based on deep …
status. However, most remaining useful life (RUL) estimation methods based on deep …