DocumentCode
3622166
Title
NNARX Model of Speech Signal Generating System: Test Error Subject to Modeling Mode Selection
Author
D. Protic;M. Milosavljevic
Author_Institution
Inst. of Appl. Math. & Electron., Belgrade
fYear
2006
fDate
6/28/1905 12:00:00 AM
Firstpage
643
Lastpage
646
Abstract
This paper presents comparative analysis of different processing errors when modeling speech signal generating system simulated by neural network auto regressive with extra input (NNARX). Feed forward NNs were used. Vowels were taken to train and test models. Gradient descent algorithm (GDA) is used for the training, back propagation algorithm (BPA) for the testing, and optimal brain surgeon (OBS) for the NN pruning. Results are given in Tables I-IV, and compared in conclusion
Keywords
"Signal generators","System testing","Speech analysis","Signal analysis","Speech processing","Signal processing","Brain modeling","Analytical models","Biological neural networks","Feeds"
Publisher
ieee
Conference_Titel
Microelectronics, 2006 25th International Conference on
Print_ISBN
1-4244-0117-8
Type
conf
DOI
10.1109/ICMEL.2006.1651050
Filename
1651050
Link To Document