Cargando…
Human-Computer Interaction with Detection of Speaker Emotions Using Convolution Neural Networks
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 (SER) modules aid human-computer interface (HCI) applications, but they are challenging to implement because of the lac...
Autores principales: | Alnuaim, Abeer Ali, Zakariah, Mohammed, Alhadlaq, Aseel, Shashidhar, Chitra, Hatamleh, Wesam Atef, Tarazi, Hussam, Shukla, Prashant Kumar, Ratna, Rajnish |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8989588/ https://www.ncbi.nlm.nih.gov/pubmed/35401731 http://dx.doi.org/10.1155/2022/7463091 |
Ejemplares similares
-
Human-Computer Interaction for Recognizing Speech Emotions Using Multilayer Perceptron Classifier
por: Alnuaim, Abeer Ali, et al.
Publicado: (2022) -
AI-DRIVEN Novel Approach for Liver Cancer Screening and Prediction Using Cascaded Fully Convolutional Neural Network
por: Shukla, Piyush Kumar, et al.
Publicado: (2022) -
Human-Computer Interaction with Hand Gesture Recognition Using ResNet and MobileNet
por: Alnuaim, Abeer, et al.
Publicado: (2022) -
Improved Machine Learning Method for Intracranial Tumor Detection with Accelerated Particle Swarm Optimization
por: Pradeep, K. R., et al.
Publicado: (2022) -
Two-Way Feature Extraction for Speech Emotion Recognition Using Deep Learning
por: Aggarwal, Apeksha, et al.
Publicado: (2022)