Cross-Corpus Speech-Emotion Recognition MFCC PCA/NMF Compression CNN & SVM Benchmarks Reproducible EE8104 Adaptive Signal Processing project (Winter 2025) Supervisor Prof Dr. Sridhar Krishnan ...

Emotion recognition based on electroencephalography (EEG) has significant advantages in terms of reliability and accuracy. However, individual differences in EEG limit the ability of sentiment ...

Emotion recognition from electroencephalography (EEG) signals is increasingly emerging as a critical research focus in brain-computer interfaces (BCIs). However, challenges such as the scarcity of ...

Emotion_Detection_Through_Voice This project detects human emotions (e.g., happy, sad, angry) from voice recordings using machine learning. It uses the RAVDESS dataset and supports both real-time ...