Abstract
In this paper a new geometrical approach for separating speech signals is presented. This approach can be directly applied to separate more than two speech signals. It is based on clustering the observation points, and then fitting a line (hyper-plane) onto each cluster. The algorithm quality is shown to be improved by using DCT coefficients of speech signals, as opposed to using speech samples.
This work has been partially funded by the European project Blind Source Separation and applications (BLISS, IST 1999-14190), by Iran Telecom Research Center (ITRC) and by Sharif university of technology.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Comon, P.: Independent component analysis, a new concept? Signal Processing 36(3), 287–314 (1994)
Puntonet, C., Mansour, A., Jutten, C.: A geometrical algorithm for blind separation of sources. In: Actes du XVème Colloque GRETSI 1995, Juan-Les-Pins, France, September 1995, pp. 273–276 (1995)
Prieto, A., Prieto, B., Puntonet, C.G., Cañas, A., Martín-Smith, P.: Geometric separation of linear mixtures of sources: Application to speech signals. In: ICA 1999, Aussois, France, January 1999, pp. 295–300 (1999)
Pearson, K.: On lines and planes of closest fit to systems of points in space. The London, Edinburgh and Dublin Philosophical Magazine and Journal of Science 2, 559–572 (1901)
Massy, W.F.: Principal component regression in exploratory statistical research. Journal of American Statistical Association 60, 234–256 (1965)
Gersho, A., Gray, R.M.: Vector Quantization and signal compression. Kluwer Academic Publishers, Dordrecht (1992)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2004 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Babaie-Zadeh, M., Mansour, A., Jutten, C., Marvasti, F. (2004). A Geometric Approach for Separating Several Speech Signals. In: Puntonet, C.G., Prieto, A. (eds) Independent Component Analysis and Blind Signal Separation. ICA 2004. Lecture Notes in Computer Science, vol 3195. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30110-3_101
Download citation
DOI: https://doi.org/10.1007/978-3-540-30110-3_101
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-23056-4
Online ISBN: 978-3-540-30110-3
eBook Packages: Springer Book Archive