Extraction and analysis of the speech emotion features based on multi-fractal spectrum
by Qirong Mao, Yongzhao Zhan
International Journal of Computer Applications in Technology (IJCAT), Vol. 38, No. 1/2/3, 2010

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.

Online publication date: Fri, 16-Jul-2010

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Computer Applications in Technology (IJCAT):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com