Full Text Available

Note: Clicking the button above will open the full text document at the original institutional repository in a new window.

Paper 18: Improving Emotion Recognition Accuracy Using a Multimodal Model (Face and Voice Video) Based on a Convolutional Neural Network (CNN)

Saved in:
Bibliographic Details
Published in:International Journal of Advanced Computer Science and Applications
Format: Online Article RSS Article
Published: 2026
Subjects:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1867301678488748033
collection WordPress RSS
FRELIP Feed Integration
container_title International Journal of Advanced Computer Science and Applications
description
discipline_display Computer Science
discipline_facet Computer Science
format Online Article
RSS Article
genre Journal Article
id rss_article:78347
institution FRELIP
journal_source_facet International Journal of Advanced Computer Science and Applications
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Paper 18: Improving Emotion Recognition Accuracy Using a Multimodal Model (Face and Voice Video) Based on a Convolutional Neural Network (CNN)
Computer Science
General
Computer Science
sub_discipline_display General
sub_discipline_facet General
subject_display Computer Science
General
Computer Science
Computer Science
General
Computer Science
subject_facet Computer Science
General
Computer Science
title Paper 18: Improving Emotion Recognition Accuracy Using a Multimodal Model (Face and Voice Video) Based on a Convolutional Neural Network (CNN)
title_auth Paper 18: Improving Emotion Recognition Accuracy Using a Multimodal Model (Face and Voice Video) Based on a Convolutional Neural Network (CNN)
title_full Paper 18: Improving Emotion Recognition Accuracy Using a Multimodal Model (Face and Voice Video) Based on a Convolutional Neural Network (CNN)
title_fullStr Paper 18: Improving Emotion Recognition Accuracy Using a Multimodal Model (Face and Voice Video) Based on a Convolutional Neural Network (CNN)
title_full_unstemmed Paper 18: Improving Emotion Recognition Accuracy Using a Multimodal Model (Face and Voice Video) Based on a Convolutional Neural Network (CNN)
title_short Paper 18: Improving Emotion Recognition Accuracy Using a Multimodal Model (Face and Voice Video) Based on a Convolutional Neural Network (CNN)
title_sort paper 18: improving emotion recognition accuracy using a multimodal model (face and voice video) based on a convolutional neural network (cnn)
topic Computer Science
General
Computer Science
url http://thesai.org/Downloads/Volume17No5/Paper_18-Improving_Emotion_Recognition_Accuracy.pdf