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Paper 18: Improving Emotion Recognition Accuracy Using a Multimodal Model (Face and Voice Video) Based on a Convolutional Neural Network (CNN)
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| Published in: | International Journal of Advanced Computer Science and Applications |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2026
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| _version_ | 1868553622336307200 |
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| 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 |
| last_indexed | 2026-06-20T21:39:56.259Z |
| 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 |
| 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_alt | Artículo 18: Mejora de la Precisión del Reconocimiento de Emociones Utilizando un Modelo Multimodal (Rostro y Voz en Video) Basado en una Red Neuronal Convolucional (CNN) Article 18 : Amélioration de la précision de la reconnaissance des émotions à l'aide d'un modèle multimodal (visage et voix vidéo) basé sur un réseau de neurones convolutif (CNN) Artigo 18: Melhorando a Precisão do Reconhecimento de Emoções Usando um Modelo Multimodal (Rosto e Voz em Vídeo) Baseado em uma Rede Neural Convolucional (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_es_txt | Artículo 18: Mejora de la Precisión del Reconocimiento de Emociones Utilizando un Modelo Multimodal (Rostro y Voz en Video) Basado en una Red Neuronal Convolucional (CNN) |
| title_fr_txt | Article 18 : Amélioration de la précision de la reconnaissance des émotions à l'aide d'un modèle multimodal (visage et voix vidéo) basé sur un réseau de neurones convolutif (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_pt_txt | Artigo 18: Melhorando a Precisão do Reconhecimento de Emoções Usando um Modelo Multimodal (Rosto e Voz em Vídeo) Baseado em uma Rede Neural Convolucional (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 |