XEmoAccent: Embracing Diversity in Cross-Accent Emotion Recognition using Deep Learning
Speech is a powerful means to expressing thoughts, emotions, and perspectives. However,
accurately determining the emotions conveyed through speech remains a challenging task …
accurately determining the emotions conveyed through speech remains a challenging task …
Pertinent feature selection techniques for automatic emotion recognition in stressed speech
Recently, the recognition of the emotional state or stress level of a user has been accepted
as an emerging research topic in the field of human–machine interface and psychiatry …
as an emerging research topic in the field of human–machine interface and psychiatry …
Emotion Recognition for Persian Speech Using Convolutional Neural Network and Support Vector Machine
S Hashemi, S Ayat - Control and Optimization in Applied …, 2023 - mathco.journals.pnu.ac.ir
The paper discusses the limitations of emotion recognition in Persian speech due to
inefficient feature extraction and classification tools. To address this, we propose a new …
inefficient feature extraction and classification tools. To address this, we propose a new …
[PDF][PDF] Hallucination Is All You Need: Using Generative Models for Test Time Data Augmentation
Within the field of artificial intelligence (AI), multimodal learning is becoming a popular tool
for solving different tasks. This is in part due to the abundance of available data that comes …
for solving different tasks. This is in part due to the abundance of available data that comes …
[引用][C] An emotion analysis method that integrates eeg signals and music therapy using a transformer model
J Han, L Xu, Q Yang - Journal of Mechanics in Medicine and Biology, 2024 - World Scientific
The need for sentiment analysis in the mental health field is increasing, and
electroencephalogram (EEG) signals and music therapy have attracted extensive attention …
electroencephalogram (EEG) signals and music therapy have attracted extensive attention …