DocumentCode :
3765137
Title :
Reduced feature extraction for emotional speech recognition
Author :
Hemanta Kumar Palo;Mihir Narayan Mohanty
Author_Institution :
Department of Electronics and Communication Engineering, ITER, Siksha ?O? Anusandhan University, Bhubaneswar, Odisha, India
fYear :
2015
Firstpage :
1
Lastpage :
5
Abstract :
There has been a considerable use of acoustic features for speaker identification and recognition. Few of these features have also been used by researchers to recognize emotions in speech effectively. Here an attempt is made to characterize human speech emotions with acoustic features as speech rate, formant frequencies, amplitude and energy initially. Further, a reduced acoustic feature set based on difference between consecutive feature values has been proposed. Multilayer Perceptron (MLP) classifier has been put to test for simulation with both baseline and reduced feature sets. The proposed feature sets outperformed baseline features in terms of classification accuracy and Mean Square Error (MSE) as manifested in the results.
Keywords :
"Feature extraction","Speech","Speech recognition","Databases","Acoustics","Emotion recognition","Hidden Markov models"
Publisher :
ieee
Conference_Titel :
India Conference (INDICON), 2015 Annual IEEE
Electronic_ISBN :
2325-9418
Type :
conf
DOI :
10.1109/INDICON.2015.7443842
Filename :
7443842
Link To Document :
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