AMGCN: An adaptive multi-graph convolutional network for speech emotion recognition
Speech contains rich emotional information, especially in its time and frequency domains.
Therefore, extracting emotional information from these domains to model the global …
Therefore, extracting emotional information from these domains to model the global …
[PDF][PDF] Boosting Cross-Corpus Speech Emotion Recognition using CycleGAN with Contrastive Learning
The premise for the success of most classic speech emotion recognition (SER) algorithms is
that training and testing samples are independent and identically distributed. However, the …
that training and testing samples are independent and identically distributed. However, the …
[PDF][PDF] Confidence-aware Hypothesis Transfer Networks for Source-Free Cross-Corpus Speech Emotion Recognition
The goal of Source-free cross-corpus speech emotion recognition (SER) is to transfer
emotion knowledge from source corpus to target one without access to source data. To …
emotion knowledge from source corpus to target one without access to source data. To …
Automatic Generation of Character Animations based on Dove Swarm Optimization Algorithm with Convolution Neural Network
M Xu - 2024 First International Conference on Software …, 2024 - ieeexplore.ieee.org
Recently, emotion generating approach of animation is not easily seen in the application of
animation design and development due to the lack of image details. However, the process …
animation design and development due to the lack of image details. However, the process …