Arabic Speaker Identification System for Forensic Authentication Using K-NN Algorithm-Reference-Cited by-同舟云学术

Arabic Speaker Identification System for Forensic Authentication Using K-NN Algorithm

Published:2021 Issue: Volume: Page:459-468
ISSN:0302-9743
Container-title:Advances in Visual Informatics
language:
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Author:

Abdulwahid Sarah,Mahmoud Moamin A.,Abdulwahid Nassren

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-90235-3_40

Reference16 articles.

1. Zimeng, H.: Speaker gender recognition system. M.Sc. thesis, University of Oulu, Department of Communications Engineering (2017)

2. AboElenein, N.M., Amin, K.M.: Improved text-independent speaker identification system for real time applications. In: 4th International Japan-Egypt Conference on Electronics, Communications and Computers (JEC-ECC) (2016)

3. Shipra, G.: Application of MFCC in text independent speaker recognition. Int. J. Adv. Res. Comput. Sci. Softw. Eng. 6(5) (2016). ISSN 2277 128X

4. Wahyuni, E.S.: Arabic speech recognition using MFCC feature extraction and ANN classification. In: 2nd International Conferences on Information Technology, Information Systems and Electrical Engineering (ICITISEE) (2017)

5. Abd Alwahed, N.N., et al.: A forensic speaker recognition system for the Arabic Language. J. Adv. Res. Dyn. Control Syst. 11(04(Special Issue)), 1–7 (2019)

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