Robust Feature Selection-Based Speech Emotion Classification Using Deep Transfer Learning

Robust Feature Selection-Based Speech Emotion Classification Using Deep Transfer Learning

Speech Emotion Classification (SEC) relies heavily on the quality of feature extraction and selection from the speech signal. Improvement on this to enhance the classification of emotion had attracted significant attention from researchers. Many primitives and algorithmic solutions for efficient SEC...

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Bibliographic Details
Main Authors: Samson Akinpelu, Serestina Viriri
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Applied Sciences
Subjects:
feature selection
speech emotion
classification
deep convolutional neural network
transfer learning
Online Access:https://www.mdpi.com/2076-3417/12/16/8265

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