Human–Computer Interaction with a Real-Time Speech Emotion Recognition with Ensembling Techniques 1D Convolution Neural Network and Attention

Human–Computer Interaction with a Real-Time Speech Emotion Recognition with Ensembling Techniques 1D Convolution Neural Network and Attention

Emotions have a crucial function in the mental existence of humans. They are vital for identifying a person’s behaviour and mental condition. Speech Emotion Recognition (SER) is extracting a speaker’s emotional state from their speech signal. SER is a growing discipline in human–computer interaction...

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Bibliographic Details
Main Author: Waleed Alsabhan
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Sensors
Subjects:
human–computer Interaction
1D and 2D Convolution Neural Networks (CNN)
speech emotion recognition (SER)
EMO-DB
SAVEE
ANAD
Online Access:https://www.mdpi.com/1424-8220/23/3/1386

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