Virtual Friend Detecting Emotion with Facial Recognition and Voice Recognition

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Hauptverfasser: Prof. T B Dharmaraj, Hari Prasath D, Madhubala M, Prof. Hemalatha, Mohammed Ibrahim A, Madhan K
Format: Recurso digital
Veröffentlicht: Zenodo 2026
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author Prof. T B Dharmaraj
Hari Prasath D
Madhubala M
Prof. Hemalatha
Mohammed Ibrahim A
Madhan K
author_facet Prof. T B Dharmaraj
Hari Prasath D
Madhubala M
Prof. Hemalatha
Mohammed Ibrahim A
Madhan K
contents Emotion Recognition Plays A Significant Role In Artificial Intelligence And Human-Computer Interaction. This Paper Presents A Multimodal Emotion Detection System Integrating Voice Recognition And Facial Expression Analysis Using Natural Language Processing And Computer Vision. The System Captures Speech Signals And Facial Images In Real Time, Extracts Acoustic And Visual Features, And Classifies Emotional States Such As Happiness, Sadness, Anger, And Neutral Mood. Fusion Techniques Enhance Robustness And Classification Accuracy. The System Also Incorporates A Recommender Mechanism To Support User Emotional Well-Being.
format Recurso digital
id zenodo_https___doi_org_10_5281_zenodo_19429076
institution Zenodo
language
publishDate 2026
publisher Zenodo
record_format zenodo
spellingShingle Virtual Friend Detecting Emotion with Facial Recognition and Voice Recognition
Prof. T B Dharmaraj
Hari Prasath D
Madhubala M
Prof. Hemalatha
Mohammed Ibrahim A
Madhan K
Emotion Recognition
NLP
Facial Expression Analysis
Voice Recognition
Machine Learning
CNN
Multimodal Fusion
Emotion Recognition Plays A Significant Role In Artificial Intelligence And Human-Computer Interaction. This Paper Presents A Multimodal Emotion Detection System Integrating Voice Recognition And Facial Expression Analysis Using Natural Language Processing And Computer Vision. The System Captures Speech Signals And Facial Images In Real Time, Extracts Acoustic And Visual Features, And Classifies Emotional States Such As Happiness, Sadness, Anger, And Neutral Mood. Fusion Techniques Enhance Robustness And Classification Accuracy. The System Also Incorporates A Recommender Mechanism To Support User Emotional Well-Being.
title Virtual Friend Detecting Emotion with Facial Recognition and Voice Recognition
topic Emotion Recognition
NLP
Facial Expression Analysis
Voice Recognition
Machine Learning
CNN
Multimodal Fusion
url https://doi.org/10.5281/zenodo.19429076