Voice recognition system using machine learning techniques

Author:

Tahseen Ali Ashraf,Abdullah Hasanen S.,Fadhil Mohammad N.

Publisher

Elsevier BV

Subject

General Medicine

Reference34 articles.

1. Automatic speaker recognition for mobile forensic applications;Algabri;Mobile Information Systems,2017

2. Anggraeni, D., W. S. M. Sanjaya, M. Y. S. Nurasyidiek, and M. Munawwaroh. “the implementation of speech recognition using mel-frequency cepstrum coefficients (MFCC) and support vector machine (SVM) method based on python to control robot arm.” InIOP Conference Series: Materials Science and Engineering, vol. 288, no. 1, p. 012042. IOP Publishing, 2018.

3. Hasan, Md Al Mehedi, and Shamim Ahmad. “PredSucc-site: Lysine succinylation sites prediction in proteins by using support vector machine and resolving data imbalance issue.”International Journal of Computer Applications182, no. 15 (2018): 8887.

4. ELLaban, Hend Ab, Ahmed A. Ewees, and Abdelrazek E. Elsaeed. “A real-time system for facial expression recognition using support vector machines and k-nearest neighbor classifier.”International Journal of Computer Applications159, no. 8 (2017): 23-29.

5. A Novel Methodology to Extract Voice Signal Features;Khawatreh;International Journal of Computer Applications,2018

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