Speech Emotion Recognition for Specific Population Groups
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Resource Overview
This collection of MATLAB programs implements the innovative research topic of "Speech Emotion Recognition for Specific Population Groups." The implementation includes feature extraction algorithms, machine learning classifiers, and specialized preprocessing techniques tailored for targeted demographic segments. For comprehensive technical details, please refer to the research paper included in the compressed package.
Detailed Documentation
This document provides a comprehensive suite of MATLAB programs designed to implement the novel research topic of "Speech Emotion Recognition for Specific Population Groups." The implementation encompasses various technical components including Mel-frequency cepstral coefficients (MFCC) extraction, prosodic feature analysis, and support vector machine (SVM) classifiers optimized for specific demographic characteristics. The programs are contained within the compressed package and are accompanied by a detailed research paper that explains the underlying algorithms, implementation methodologies, and experimental results. Please consult the included paper for specific technical details, parameter configurations, and performance evaluations.
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