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- W2075912025 abstract "This paper deals with the comparison of different methods of speech features extraction for a neural network classifier. We have used a Kohohen self-organizing feature map (SOM) for output-stage classifier which is a specific type of artificial neural nets. The result of this research deals with the accuracy of emotion classifier and compares the two input combinations." @default.
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- W2075912025 date "2013-11-01" @default.
- W2075912025 modified "2023-09-27" @default.
- W2075912025 title "Recognizing emotions from human speech using 2-D neural classifier and influence the selection of input parameters on its accuracy" @default.
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- W2075912025 doi "https://doi.org/10.1109/telfor.2013.6716272" @default.
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