[HTML][HTML] Assessing the effectiveness of ensembles in speech emotion recognition: Performance analysis under challenging scenarios
JM López-Gil, N Garay-Vitoria - Expert Systems with Applications, 2024 - Elsevier
Abstract Speech Emotion Recognition (SER) is an important application in areas such as
online gaming, e-learning, and medical care. However, recognizing emotion in speech is …
online gaming, e-learning, and medical care. However, recognizing emotion in speech is …
[HTML][HTML] Enhancing Health Equity by Predicting Missed Appointments in Health Care: Machine Learning Study
Y Yang, S Madanian, D Parry - JMIR medical informatics, 2024 - medinform.jmir.org
Background The phenomenon of patients missing booked appointments without canceling
them—known as Did Not Show (DNS), Did Not Attend (DNA), or Failed To Attend (FTA) …
them—known as Did Not Show (DNS), Did Not Attend (DNA), or Failed To Attend (FTA) …
Speech emotion recognition from voice messages recorded in the wild
Emotion datasets used for Speech Emotion Recognition (SER) often contain acted or
elicited speech, limiting their applicability in real-world scenarios. In this work, we used the …
elicited speech, limiting their applicability in real-world scenarios. In this work, we used the …
Enhancing Emotion Recognition through Federated Learning: A Multimodal Approach with Convolutional Neural Networks
Human–machine interaction covers a range of applications in which machines should
understand humans' commands and predict their behavior. Humans commonly change their …
understand humans' commands and predict their behavior. Humans commonly change their …
Speech Emotion Recognition under Resource Constraints with Data Distillation
Speech emotion recognition (SER) plays a crucial role in human-computer interaction. The
emergence of edge devices in the Internet of Things (IoT) presents challenges in …
emergence of edge devices in the Internet of Things (IoT) presents challenges in …
[HTML][HTML] Optimizing Speech Emotion Recognition with Hilbert Curve and convolutional neural network
Z Yang, S Zhou, L Zhang, S Serikawa - Cognitive Robotics, 2024 - Elsevier
In the realm of speech emotion recognition, researchers strive to refine representation
methods for improved emotional information capture. Traditional one-dimensional time …
methods for improved emotional information capture. Traditional one-dimensional time …
EmoBone: A Multinational Audio Dataset of Emotional Bone Conducted Speech
This paper introduces EmoBone, a comprehensive audio‐only emotional bone‐conducted
speech dataset featuring speakers from various countries. The dataset comprises speeches …
speech dataset featuring speakers from various countries. The dataset comprises speeches …
1st Place Solution to Odyssey Emotion Recognition Challenge Task1: Tackling Class Imbalance Problem
Speech emotion recognition is a challenging classification task with natural emotional
speech, especially when the distribution of emotion types is imbalanced in the training and …
speech, especially when the distribution of emotion types is imbalanced in the training and …
A Machine Learning and Deep Learning based Approach to Generate a Speech Emotion Recognition System
K Vaidehi, Q Nisha - 2024 11th International Conference on …, 2024 - ieeexplore.ieee.org
The most common and general medium via which we humans convey or communicate our
thoughts, emotions, feelings or ideas artlessly is by speech or articulation. Blending of this …
thoughts, emotions, feelings or ideas artlessly is by speech or articulation. Blending of this …
Emotion Variation Detection in Discrete English Speech: A Wavelet Transform Use Case in Mental Health Monitoring
A Adeleye, S Madanian, O Adeleye - Proceedings of the 2024 …, 2024 - dl.acm.org
The increasing complexity in modern society has been leading to a series of emotional shifts
and mental pressures for individuals. Emotion detection can assist people in managing …
and mental pressures for individuals. Emotion detection can assist people in managing …