DocumentCode
3254945
Title
Automatic recognition of speech emotion using Shuffled Frog Leaping Algorithm
Author
Yu, Hua ; Huang, Chengwei ; Jin, Yun ; Zhao, Li
Author_Institution
Key Lab. of Underwater Acoust. Signal Process. of Minist. of Educ., Southeast Univ., Nanjing, China
Volume
7
fYear
2010
fDate
16-18 Oct. 2010
Firstpage
3505
Lastpage
3508
Abstract
In this paper Shuffled Frog Leaping Algorithm based neural network is used in speech emotion recognition. Speech emotion data is collected and emotional features are analyzed. Shuffled Frog Leaping Algorithm is used to train the random initial data, optimize the connection weights and thresholds of the neural network with a fast network convergence speed. The results show that Shuffled Frog Leaping Algorithm neural network brings a promising recognition rate for speech emotion recognition.
Keywords
emotion recognition; neural nets; speech recognition; automatic recognition; neural network; shuffled frog leaping algorithm; speech emotion recognition; Artificial neural networks; Emotion recognition; Feature extraction; Signal processing algorithms; Speech; Speech recognition; Training; neural network; shuffled frog leaping algorithm; speech emotion;
fLanguage
English
Publisher
ieee
Conference_Titel
Image and Signal Processing (CISP), 2010 3rd International Congress on
Conference_Location
Yantai
Print_ISBN
978-1-4244-6513-2
Type
conf
DOI
10.1109/CISP.2010.5646693
Filename
5646693
Link To Document