Abstract: Speech emotion recognition focuses on developing a Speech Emotion Recognition (SER) system detects human emotions from speech by analyzing vocal traits. Using Convolutional Neural Networks ...

As Iranian authorities restore some online services after crushing antigovernment demonstrations, they are using a technological dragnet to target attendees of the protests. By Adam Satariano Paul ...

This project fine-tunes the superb/wav2vec2-large-superb-er model on custom audio data for emotion recognition. The model achieves robust performance across four emotion classes using a manual ...

Decoding emotional states from electroencephalography (EEG) signals is a fundamental goal in affective neuroscience. This endeavor requires accurately modeling the complex spatio-temporal dynamics of ...

Speech recognition in Windows 11 lets you control your PC with your voice, making typing and navigation faster and easier. This guide will show you all you need to know to set it up and start using it ...

Mental disorders have a significant impact on many areas of people’s life, particularly on affective regulation; thus, there is a growing need to find disease-specific biomarkers to improve early ...

Abstract: Speech emotion recognition is the task of automatically detecting the emotional state of a speaker from their spoken words. It is a growing area of research that has applications in various ...

Speech emotion recognition base on Long Short-Term Model (LSTM), implemented in tensorflow. The system improve the accuracy of emotion recognition while maintaining lightweight through feature ...