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Speaker and text dependent automatic emotion recognition from female speech by using artificial neural networks

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3 Author(s)
Firoz, S.A. ; Sch. of Inf. Sci. & Technol., Kannur Univ., Kannur, India ; Raji, S.A. ; Babu, A.P.

We have created and analyzed an elicited emotional database consisting of 340 emotional speech samples under four different emotions neutral, happy, sad and anger. Malayalam (one of the south Indian languages) was used for the experiment. Daubechies8 wavelet was used for feature extraction and artificial neural network was used for pattern recognition. An overall recognition accuracy of 72.055% obtained from this experiment.

Published in:

Nature & Biologically Inspired Computing, 2009. NaBIC 2009. World Congress on

Date of Conference:

9-11 Dec. 2009