International Journal of Statistics and Applied Mathematics
  • Printed Journal
  • Indexed Journal
  • Refereed Journal
  • Peer Reviewed Journal

2023, Vol. 8, Issue 2, Part A

Speech recognition for Arabic numbers using empirical mode decomposition


Author(s): Fadya A Habeeb and Kholood J Moulood

Abstract: One of the main uses of artificial intelligence is automatic speech recognition. In this study, empirical mode decomposition is used to enhance the detection of speech dysarthria for speech recognition the problem in this paper is how to distinguish between the spoken words in Arabic we chose speech recognition by Empirical Mode Decomposition (EMD) to analyze the sound they were results as a confusion matrix results which indicates a classifier high accuracy (0.8966). Using 29 sounds to recognize by the EMD method the primary objective of this paper is to use EMD to Dysarthria speech recognize Arabic speech in real-time.

DOI: 10.22271/maths.2023.v8.i2a.940

Pages: 13-18 | Views: 272 | Downloads: 11

Download Full Article: Click Here

International Journal of Statistics and Applied Mathematics
How to cite this article:
Fadya A Habeeb, Kholood J Moulood. Speech recognition for Arabic numbers using empirical mode decomposition. Int J Stat Appl Math 2023;8(2):13-18. DOI: 10.22271/maths.2023.v8.i2a.940

Call for book chapter
International Journal of Statistics and Applied Mathematics