Audio-emotion recognition system using parallel classifiers and audio feature analyzer

Li Wern Chew; K P Seng; Li-Minn Ang; Vish Ramakonar; A Gnanasegaran

doi:10.1109/CIMSim.2011.44

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Audio-emotion recognition system using parallel classifiers and audio feature analyzer

Conference paper

Peer reviewed

Audio-emotion recognition system using parallel classifiers and audio feature analyzer

Li Wern Chew, K P Seng, Li-Minn Ang, Vish Ramakonar and A Gnanasegaran

Proceedings of the 3rd International Conference on Computational Intelligence, Modelling and Simulation, pp.210-215

International Conference on Computational Intelligence, Modelling & Simulation, 3rd (Langkawi, Malaysia, 20-Sep-2011–22-Sep-2011)

Institute of Electrical and Electronics Engineers

2011

DOI: https://doi.org/10.1109/CIMSim.2011.44

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Abstract

emotion recognition

linear discriminant analysis

Mel-frequency cepstral coefficients

principal component analysis

radial basis function

Emotion recognition based on an audio signal is an area of active research in the domain of human-computer interaction and effective computing. This paper presents an audio-emotion recognition (AER) system using parallel classifiers and an audio feature analyzer. In the proposed system, audio features such as the pitch and fractional cepstral coefficient are first extracted from the audio signal for analysis. These extracted features are then used to train a radial basis function. Lastly, an audio feature analyzer is used to enhance the performance of the recognition rate. The latest simulation results show that the proposed AER system is able to achieve an emotion recognition rate of 81.67%.

Details

Title: Audio-emotion recognition system using parallel classifiers and audio feature analyzer
Authors: Li Wern Chew (Author) - University of Nottingham Malaysia Campus
K P Seng (Author) - Sunway University
Li-Minn Ang (Author) - University of Nottingham Malaysia Campus
Vish Ramakonar (Author) - Alsys MSC Sdn Bhd (Kuala Lumpur, Malaysia)
A Gnanasegaran (Author) - Alsys MSC Sdn Bhd (Kuala Lumpur, Malaysia)
Publication details: Proceedings of the 3rd International Conference on Computational Intelligence, Modelling and Simulation, pp.210-215
Conference details: International Conference on Computational Intelligence, Modelling & Simulation, 3rd (Langkawi, Malaysia, 20-Sep-2011–22-Sep-2011)
Publisher: Institute of Electrical and Electronics Engineers
Date published: 2011
DOI: 10.1109/CIMSim.2011.44
ISSN: 2166-8531; 2166-8523
Organisation Unit: University of the Sunshine Coast, Queensland; School of Science, Technology and Engineering; Engage Research Lab
Language: English
Record Identifier: 99513896302621
Output Type: Conference paper

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