Please use this identifier to cite or link to this item:
http://nopr.niscpr.res.in/handle/123456789/3787| Title: | Emotion recognition using multilayer perceptron and generalized feed forward neural network |
| Authors: | Khanchandani, K B Hussain, Moiz A |
| Keywords: | Berlin Emotional Speech Database;Emotion recognition;Generalized feed forward neural network (GFFNN);Machine intelligence;Multilayer perceptron neural network (MLPNN) |
| Issue Date: | May-2009 |
| Publisher: | CSIR |
| Abstract: | This paper explores performance analysis of multilayer perceptron neural network (MLPNN) and generalized feed forward neural network (GFFNN) for detection of 7 human emotions (neutral, anger, boredom, disgust, fear, happiness, sadness) using speech signals. Overall accuracy was found as follows: MLPNN, 93%; and GFFNN, 99%.s |
| Page(s): | 367-371 |
| ISSN: | 0022-4456 |
| Appears in Collections: | JSIR Vol.68(05) [May 2009] |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| JSIR 68(5) 367-371.pdf | 78.71 kB | Adobe PDF | View/Open |
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