IEEE

Speech Emotion Recognition using Cepstral Features Extracted with Gammatone Filter Banks Realized based on ERB and Mel Frequency Scales

Abstract: Speech emotion recognition (SER) involves identifying a speaker’s emotional state from their speech utterance. Prior research has explored various cepstral features for developing SER ...
IEEE

MFENet: A Multi-Feature Extraction Network for Enhanced Emotion Detection Using EEG and STFT

Abstract: Developing computationally efficient models for EEG-based emotion recognition is essential for enabling scalable and responsive brain-computer interface (BCI) systems. However, the inherent ...
Frontiers

Analysis of the interactive effects between sleep quality, trait mindfulness, vigor, and five types of negative emotions using EBICglasso network analysis

1 College of Psychology, Liaoning Normal University, Dalian, China 2 Department of Gastroenterology, Affiliated Zhongshan Hospital of Dalian University, Dalian, China Introduction: Network analysis ...
NPR

Teachers are using software to see if students used AI. What happens when it's wrong?

Ailsa Ostovitz has been accused of using AI on three assignments in two different classes this school year. "It's mentally exhausting because it's like I know this is my work," says Ostovitz, 17. "I ...