[HTML][HTML] An ongoing review of speech emotion recognition
User emotional status recognition is becoming a key feature in advanced Human Computer
Interfaces (HCI). A key source of emotional information is the spoken expression, which may …
Interfaces (HCI). A key source of emotional information is the spoken expression, which may …
AVEC 2019 workshop and challenge: state-of-mind, detecting depression with AI, and cross-cultural affect recognition
The Audio/Visual Emotion Challenge and Workshop (AVEC 2019)'State-of-Mind, Detecting
Depression with AI, and Cross-cultural Affect Recognition'is the ninth competition event …
Depression with AI, and Cross-cultural Affect Recognition'is the ninth competition event …
In search of a robust facial expressions recognition model: A large-scale visual cross-corpus study
Many researchers have been seeking robust emotion recognition system for already last two
decades. It would advance computer systems to a new level of interaction, providing much …
decades. It would advance computer systems to a new level of interaction, providing much …
AVEC 2018 workshop and challenge: Bipolar disorder and cross-cultural affect recognition
The Audio/Visual Emotion Challenge and Workshop (AVEC 2018)" Bipolar disorder, and
cross-cultural affect recognition''is the eighth competition event aimed at the comparison of …
cross-cultural affect recognition''is the eighth competition event aimed at the comparison of …
Deep cross-corpus speech emotion recognition: Recent advances and perspectives
S Zhang, R Liu, X Tao, X Zhao - Frontiers in neurorobotics, 2021 - frontiersin.org
Automatic speech emotion recognition (SER) is a challenging component of human-
computer interaction (HCI). Existing literatures mainly focus on evaluating the SER …
computer interaction (HCI). Existing literatures mainly focus on evaluating the SER …
[PDF][PDF] Analysis of Deep Learning Architectures for Cross-Corpus Speech Emotion Recognition.
Abstract Speech Emotion Recognition (SER) is an important and challenging task for human-
computer interaction. In the literature deep learning architectures have been shown to yield …
computer interaction. In the literature deep learning architectures have been shown to yield …
Emonet: A transfer learning framework for multi-corpus speech emotion recognition
In this manuscript, the topic of multi-corpus Speech Emotion Recognition (SER) is
approached from a deep transfer learning perspective. A large corpus of emotional speech …
approached from a deep transfer learning perspective. A large corpus of emotional speech …
Sensing beyond itself: Multi-functional use of ubiquitous signals towards wearable applications
Wearable technologies provide a non-invasive way to monitor user's activity, identity, and
health in real-time, which have attracted tremendous interests from both academia and …
health in real-time, which have attracted tremendous interests from both academia and …
Predictive models for imbalanced data: A school dropout perspective
Predicting school dropout rates is an important issue for the smooth execution of an
educational system. This problem is solved by classifying students into two classes using …
educational system. This problem is solved by classifying students into two classes using …
Speech emotion recognition using optimized genetic algorithm-extreme learning machine
Abstract Automatic Emotion Speech Recognition (ESR) is considered as an active research
field in the Human-Computer Interface (HCI). Typically, the ESR system is consisting of two …
field in the Human-Computer Interface (HCI). Typically, the ESR system is consisting of two …