Emotion recognition from speech is an emerging field within machine learning, aimed at improving human-computer interaction by enabling systems to understand and respond to human emotions. This paper ...

In this study, we propose a high-precision, fine-grained emotion recognition system based on multisource throat physiological signals. The system collects signals through optimized flexible ...

This project detects human emotions from speech using MFCC feature extraction and machine learning models including SVM, Random Forest, CNN, and XGBoost. By analyzing voice patterns, the system ...

In this paper, a speech emotion recognition model for Cisco phone calls is introduced. The goal of this project is to provide call centers with emotional data and performance of their agents to be ...

And it may help beginners who will use EEG-based machine learning algorithms for emotion recognition to understand the development status of this field. The journals we selected are all retrieved from ...

This paper examines the effects of reduced speech bandwidth and the μ-low companding procedure used in transmission systems on the accuracy of speech emotion recognition (SER). A step by step ...