[HTML][HTML] An ongoing review of speech emotion recognition
User emotional status recognition is becoming a key feature in advanced Human Computer
Interfaces (HCI). A key source of emotional information is the spoken expression, which may …
Interfaces (HCI). A key source of emotional information is the spoken expression, which may …
An efficient feature selection method for arabic and english speech emotion recognition using Grey Wolf Optimizer
Nowadays, analyzing and interpreting emotions through human speech communication
have drawn a great attention in the field of human-computer interaction. Therefore, many …
have drawn a great attention in the field of human-computer interaction. Therefore, many …
A low-rank matching attention based cross-modal feature fusion method for conversational emotion recognition
Conversational emotion recognition (CER) is an important research topic in human-
computer interactions. Although deep learning (DL) based CER approaches have achieved …
computer interactions. Although deep learning (DL) based CER approaches have achieved …
Beyond Deep Learning: Charting the Next Frontiers of Affective Computing
Affective computing (AC), like most other areas of computational research, has benefited
tremendously from advances in deep learning (DL). These advances have opened up new …
tremendously from advances in deep learning (DL). These advances have opened up new …
COVID-19 detection systems using deep-learning algorithms based on speech and image data
The global epidemic caused by COVID-19 has had a severe impact on the health of human
beings. The virus has wreaked havoc throughout the world since its declaration as a …
beings. The virus has wreaked havoc throughout the world since its declaration as a …
Emotional speaker identification using a novel capsule nets model
Speaker recognition systems are widely used in various applications to identify a person by
their voice; however, the high degree of variability in speech signals makes this a …
their voice; however, the high degree of variability in speech signals makes this a …
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 …
MMFN: Emotion recognition by fusing touch gesture and facial expression information
YK Li, QH Meng, YX Wang, HR Hou - Expert Systems with Applications, 2023 - Elsevier
Human social interaction is a multimodal process that integrates several communication
channels, such as speech, facial expressions, body gestures, and touch. For intelligent …
channels, such as speech, facial expressions, body gestures, and touch. For intelligent …
[HTML][HTML] Targeted aspect-based emotion analysis to detect opportunities and precaution in financial Twitter messages
S García-Méndez, F de Arriba-Pérez… - Expert Systems with …, 2023 - Elsevier
Microblogging platforms, of which Twitter is a representative example, are valuable
information sources for market screening and financial models. In them, users voluntarily …
information sources for market screening and financial models. In them, users voluntarily …
Tri-integrated convolutional neural network for audio image classification using Mel-frequency spectrograms
A Khurana, S Mittal, D Kumar, S Gupta… - Multimedia Tools and …, 2023 - Springer
Emotion is a state which encompasses a variety of physiological phenomena. Classification
of emotions has many applications in fields like customer review, product evaluation …
of emotions has many applications in fields like customer review, product evaluation …