A survey of speech emotion recognition in natural environment
While speech emotion recognition (SER) has been an active research field since the last
three decades, the techniques that deal with the natural environment have only emerged in …
three decades, the techniques that deal with the natural environment have only emerged in …
A weakly supervised learning framework for detecting social anxiety and depression
Although social anxiety and depression are common, they are often underdiagnosed and
undertreated, in part due to difficulties identifying and accessing individuals in need of …
undertreated, in part due to difficulties identifying and accessing individuals in need of …
Emotional speech recognition method based on word transcription
The emotional speech recognition method presented in this article was applied to recognize
the emotions of students during online exams in distance learning due to COVID-19. The …
the emotions of students during online exams in distance learning due to COVID-19. The …
Robustness to noise for speech emotion classification using CNNs and attention mechanisms
L Wijayasingha, JA Stankovic - Smart Health, 2021 - Elsevier
Abstract Speech Emotion Recognition (SER) is an important task since emotion is a primary
dimension in human communication and health. It has a wide variety of practical …
dimension in human communication and health. It has a wide variety of practical …
[PDF][PDF] Distant speech emotion recognition in an indoor human-robot interaction scenario
Social robotics and human-robot partnership are becoming very relevant topics defining
many challenges for state-of-the-art speech technology. This paper presents the first …
many challenges for state-of-the-art speech technology. This paper presents the first …
From the inside out: A literature review on possibilities of mobile emotion measurement and recognition
M Meyer, P Helmholz, M Rupprecht, J Seemann… - 2019 - aisel.aisnet.org
Abstract Information systems are becoming increasingly intelligent and emotion artificial
intelligence is an important component for the future. Therefore, the measurement and …
intelligence is an important component for the future. Therefore, the measurement and …
Psychophysiological Arousal in Young Children Who Stutter: An Interpretable AI Approach
The presented first-of-its-kind study effectively identifies and visualizes the second-by-
second pattern differences in the physiological arousal of preschool-age children who do …
second pattern differences in the physiological arousal of preschool-age children who do …
LLM-based Conversational AI Therapist for Daily Functioning Screening and Psychotherapeutic Intervention via Everyday Smart Devices
Despite the global mental health crisis, access to screenings, professionals, and treatments
remains high. In collaboration with licensed psychotherapists, we propose a Conversational …
remains high. In collaboration with licensed psychotherapists, we propose a Conversational …
[HTML][HTML] Speech emotion recognition in real static and dynamic human-robot interaction scenarios
The use of speech-based solutions is an appealing alternative to communicate in human-
robot interaction (HRI). An important challenge in this area is processing distant speech …
robot interaction (HRI). An important challenge in this area is processing distant speech …
Sentiment analysis model based on the word structural representation
Over the past year, distance learning has become an integral part of our lives and a rapidly
developing field. Compared to traditional classroom learning, online learning has …
developing field. Compared to traditional classroom learning, online learning has …