Verification and identification of the speech signal using algebraic analysis and DWT

Authors

  • Amraoui Abdelkader
  • Saadi Slami

DOI:

https://doi.org/10.54021/seesv5n1-017

Keywords:

verification, identification, LPC, matrix, DWT, speech signal

Abstract

We presented a flowchart, of a new approach that relies on the mathematical operations of matrices and to verify and identifies the speaker, this is a new method difficult to detect by attackers, and this is due to the difficulty to determine its base matrix used in the speaker verification and identification process, Although there are many artificial intelligence programs that can imitate voices and generating false conversations, which poses security and hacking problems.

References

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ABDELKADER, A.; SALAMI, S. A Novel Approach for Speaker Gender Identification and Verification using DWT First Level Energy and Zero Crossing. Engineering, Technology & Applied Science Research, v. 12, n. 06, p. 9570-9578, 2022. doi: https://doi.org/10.48084/etasr.5269

ABDELKADER, A.; SAADI, S. Conseil Supérieur de la Langue Arabe. Revue Science et Technologie, n. 06, p. 11-23, 2023. Available at: https://hcla.dz/

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ALMAADEED, N.; AGGOUN, A.; & ABBES, A. (2016). Text-Independent Speaker Identification Using Vowel Formants. p. 345–356. doi: 10.1007/s11265-015-1005-5

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Published

2024-02-14

How to Cite

Abdelkader, A., & Slami, S. (2024). Verification and identification of the speech signal using algebraic analysis and DWT. STUDIES IN ENGINEERING AND EXACT SCIENCES, 5(1), 297–305. https://doi.org/10.54021/seesv5n1-017