Deep-Net: A Lightweight CNN-Based Speech Emotion Recognition System Using Deep Frequency Features

Deep-Net: A Lightweight CNN-Based Speech Emotion Recognition System Using Deep Frequency Features

Artificial intelligence (AI) and machine learning (ML) are employed to make systems smarter. Today, the speech emotion recognition (SER) system evaluates the emotional state of the speaker by investigating his/her speech signal. Emotion recognition is a challenging task for a machine. In addition, m...

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Bibliographic Details
Main Authors: Tursunov Anvarjon, Mustaqeem, Soonil Kwon
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Sensors
Subjects:
artificial intelligence
deep learning
deep frequency features extraction
speech emotion recognition
speech spectrograms
Online Access:https://www.mdpi.com/1424-8220/20/18/5212

Internet

https://www.mdpi.com/1424-8220/20/18/5212

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