Name
Title | ||
|---|---|---|
Emotion Recognition Algorithm Based on Neural Fuzzy Network and the Cloud Technology. |
Abstract | ||
|---|---|---|
Emotion recognition has been a popular topic of human-computer interaction and affective computing. In this paper, 2-D visual emotion recognition model is put forward which takes neural fuzzy network as the theoretical basis. The model is designed for make classification of four types of emotion-related voice signals. A high accuracy of 85% is realized by the model. It is noted that the model can identify sadness emotions effectively. The rate is up to as high as 100%. The algorithm is to be used for a cloud server. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/BWCCA.2015.112 | BWCCA |
Keywords | Field | DocType |
speech signal, neuro-fuzzy network, emotion recognition algorithm, cloud server | Sadness,Emotion recognition,Computer science,Fuzzy logic,Algorithm,Cloud server,Time delay neural network,Artificial intelligence,Affective computing,Machine learning,Cloud computing | Conference |
Citations | PageRank | References |
0 | 0.34 | 5 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhen-Xing Zhang | 1 | 6 | 4.13 |
| Joon Shik Lim | 2 | 51 | 6.39 |