SERC-GCN: Speech Emotion Recognition In Conversation Using Graph Convolutional Networks.
Deeksha ChandolaEnas AltarawnehMichael JenkinManos PapagelisPublished in: ICASSP (2024)
Keyphrases
- speech emotion recognition
- average degree
- small world
- fully connected
- graph representation
- edge weights
- highly connected
- scale free
- graph theory
- dynamic networks
- random walk
- graph theoretic
- complex networks
- graph model
- network analysis
- graph structure
- network size
- structured data
- weighted graph
- graph partitioning
- connected components
- clustering coefficient
- social graphs
- graph structures
- degree distribution
- multi agent systems
- betweenness centrality
- probabilistic model
- deep learning
- directed edges
- natural language
- community discovery
- graphical models
- protein interaction networks
- computer networks
- random graphs
- heterogeneous networks
- social networks
- bipartite graph
- community structure