Authors: Qirong Mao, Yongzhao Zhan
Addresses: Department of Computer Science and Communication Engineering, Jiangsu University, Zhenjiang 212013, Jiangsu Province, China. ' Department of Computer Science and Communication Engineering, Jiangsu University, Zhenjiang 212013, Jiangsu Province, China
Abstract: A calculating method for the multi-fractal spectrum of speech envelope, frequency wave and pitch contour of speech signal is presented to reflect the change of pitch, energy and frequency more accurately. According to these spectra, 18 novel speech emotion features are proposed, and the clustering performances of these features are analysed. The results of the recognition experiment for seven emotion states demonstrate that the speech emotion features proposed in this paper are effective for the speech emotion recognition, and that they can be used as the complementary features to the acoustics emotion features for the speech emotion recognition.
Keywords: speech emotion recognition; multi-fractal theory; emotion features; speech recognition; clustering analysis; speech envelope; frequency wave; pitch contour; speech signals.
International Journal of Computer Applications in Technology, 2010 Vol.38 No.1/2/3, pp.19 - 26
Received: 31 Jul 2008
Accepted: 21 Nov 2008
Published online: 16 Jul 2010 *