Loading...
Mutual Correlation Attentive Factors in Dyadic Fusion Networks for Speech Emotion Recognition
Emotion recognition in dyadic communication is challenging because: 1. Extracting informative modality-specific representations requires disparate feature extractor designs due to the heterogenous input data formats. 2. How to effectively and efficiently fuse unimodal features and learn associations...
Na minha lista:
| Udgivet i: | Proc ACM Int Conf Multimed |
|---|---|
| Main Authors: | , , , , , , |
| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
2019
|
| Fag: | |
| Online adgang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7085887/ https://ncbi.nlm.nih.gov/pubmed/32201866 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1145/3343031.3351039 |
| Tags: |
Tilføj Tag
Ingen Tags, Vær først til at tagge denne postø!
|