An Enhanced Emotion Recognition Algorithm Using Pitch Correlogram, Deep Sparse Matrix Representation and Random Forest Classifier

An Enhanced Emotion Recognition Algorithm Using Pitch Correlogram, Deep Sparse Matrix Representation and Random Forest Classifier

This work presents an approach for text-independent and speaker-independent emotion recognition from speech in real application situations such as noisy and stressful talking conditions. We have incorporated a new way for feature extraction, representation, and noise reduction, replacing the frequen...

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Bibliographic Details
Main Authors: Shibani Hamsa, Youssef Iraqi, Ismail Shahin, Naoufel Werghi
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Emotion recognition
feature extraction
noise reduction
random forest classifier
Online Access:https://ieeexplore.ieee.org/document/9446135/

Internet

https://ieeexplore.ieee.org/document/9446135/

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