Speech Emotion Recognition through Hybrid Features and Convolutional Neural Network

Speech Emotion Recognition through Hybrid Features and Convolutional Neural Network

Speech emotion recognition (SER) is the process of predicting human emotions from audio signals using artificial intelligence (AI) techniques. SER technologies have a wide range of applications in areas such as psychology, medicine, education, and entertainment. Extracting relevant features from aud...

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Bibliographic Details
Main Authors: Ala Saleh Alluhaidan, Oumaima Saidani, Rashid Jahangir, Muhammad Asif Nauman, Omnia Saidani Neffati
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Applied Sciences
Subjects:
speech emotion recognition
feature fusion
MFCCs
time-domain
convolutional neural networks
Online Access:https://www.mdpi.com/2076-3417/13/8/4750

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https://www.mdpi.com/2076-3417/13/8/4750

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