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

Author

Firoz, S.A. ; Raji, S.A. ; Babu, A.P.

Author_Institution

Sch. of Inf. Sci. & Technol., Kannur Univ., Kannur, India

fYear

2009

fDate

9-11 Dec. 2009

Firstpage

1411

Lastpage

1413

Abstract

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.

Keywords

emotion recognition; neural nets; speech recognition; wavelet transforms; Daubechies8 wavelet; Malayalam; artificial neural networks; automatic emotion recognition; emotional database; feature extraction; female speech; south Indian languages; Artificial neural networks; Discrete wavelet transforms; Emotion recognition; Filter bank; Filtering; Frequency; Low pass filters; Signal resolution; Speech analysis; Speech recognition; Affective Computing; Artificial Neural Networks; Automatic Emotion Recognition; Discrete Wavelet Transform; Multi Layer Perceptron;

fLanguage

English

Publisher

ieee

Conference_Titel

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

Conference_Location

Coimbatore

Print_ISBN

978-1-4244-5053-4

Type

conf

DOI

10.1109/NABIC.2009.5393712

Filename

5393712