Speaker-dependent Arabic digits speech recognition using invariant moments

Author

Marwa Mossaad Hegazy

Department

Computer Science & Engineering Department

Degree Name

MS in Computer Science

Date of Award

6-1-2003

Online Submission Date

January 2003

Document Type

Thesis

Extent

89 leaves :

Library of Congress Subject Heading 1

Automatic speech recognition

Library of Congress Subject Heading 2

Arabic language

Rights

The author retains all rights with regard to copyright. The author certifies that written permission from the owner(s) of third-party copyrighted matter included in the thesis, dissertation, paper, or record of study has been obtained. The author further certifies that IRB approval has been obtained for this thesis, or that IRB approval is not necessary for this thesis. Insofar as this thesis, dissertation, paper, or record of study is an educational record as defined in the Family Educational Rights and Privacy Act (FERPA) (20 USC 1232g), the author has granted consent to disclosure of it to anyone who requests a copy.

Recommended Citation

APA Citation

Hegazy, M. (2003).Speaker-dependent Arabic digits speech recognition using invariant moments [Thesis, the American University in Cairo]. AUC Knowledge Fountain.
https://fount.aucegypt.edu/retro_etds/1716

MLA Citation

Hegazy, Marwa Mossaad. Speaker-dependent Arabic digits speech recognition using invariant moments. 2003. American University in Cairo, Thesis. AUC Knowledge Fountain.
https://fount.aucegypt.edu/retro_etds/1716

Call Number

Thesis 2003/36

Location

mgfth;sthes;mrs2