A Two-Stage Hierarchical Bilingual Emotion Recognition System Using a Hidden Markov Model and Neural Networks

2017 ◽  
Vol 42 (12) ◽  
pp. 5231-5249 ◽  
Author(s):  
Mohamed Deriche ◽  
Ahmed H. Abo absa
2014 ◽  
Author(s):  
Jing Jin ◽  
Yuanqing Wang ◽  
Liujing Xu ◽  
Liqun Cao ◽  
Lei Han ◽  
...  

2000 ◽  
Vol 23 (4) ◽  
pp. 494-495
Author(s):  
Ingmar Visser

Page's manifesto makes a case for localist representations in neural networks, one of the advantages being ease of interpretation. However, even localist networks can be hard to interpret, especially when at some hidden layer of the network distributed representations are employed, as is often the case. Hidden Markov models can be used to provide useful interpretable representations.


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