Now showing items 1-6 of 6
Methods and Experimental Design for Collecting Emotional Labels Using Crowdsourcing
Manual annotations and transcriptions have an ever-increasing importance in areas such as behavioral signal processing, image processing, computer vision, and speech signal processing. Conventionally, this metadata has ...
Machine Learning Solutions for Emotional Speech: Exploiting the Information of Individual Annotations
Speech emotion recognition solutions designed under controlled conditions do not translate well into real-life applications. The first step to address this issue is developing a large, natural emotional database. Current ...
Study of Real-Time Facial Expression Recognition on Noisy Images and Videos
Automatic facial expression recognition (FER) and emotion recognition have aroused many researchers’ interest in a variety of research fields because of an important role in human centered interfaces and the advent of ...
Domain Adaptation for Speech Based Emotion Recognition
One of the main barriers in the deployment of speech emotion recognition systems in real applications is the lack of generalization of the emotion classifiers. The recognition performance achieved in controlled recordings ...
Novel Frameworks for Attribute-Based Speech Emotion Recognition using Time-Continuous Traces and Sentence-Level Annotations
Speech emotion recognition (SER) plays an important role in a growing world of automation and artificial intelligence. Robust and accurate SER systems are crucial for enhancing human-computer interaction. Emotional ...
Neural Correlates of Trustworthiness Evaluations in Cross-Cultural Interactions
Studies researching the neural correlates of implicit appearance-based trust evaluations have implicated a number of brain regions, including the amygdala, prefrontal cortices, posterior superior temporal sulcus and the ...