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
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;
Conference_Titel :
Image and Signal Processing (CISP), 2010 3rd International Congress on
Conference_Location :
Yantai
Print_ISBN :
978-1-4244-6513-2
DOI :
10.1109/CISP.2010.5646693
