Thorough evaluation of TIMIT database speaker identification performance under noise with and without the G.712 type handset

Author:

Al-Kaltakchi Musab T. S.,Al-Nima Raid Rafi Omar,Abdullah Mohammed A. M.,Abdullah Hikmat N.

Publisher

Springer Science and Business Media LLC

Subject

Computer Vision and Pattern Recognition,Linguistics and Language,Human-Computer Interaction,Language and Linguistics,Software

Reference26 articles.

1. Abdullah, M.A., Chambers, J.A., Woo, W.L., & Dlay, S.S. (2015). Iris biometrie: Is the near-infrared spectrum always the best? In: 2015 IEEE 3rd IAPR Asian conference on pattern recognition (ACPR) (pp. 816–819). IEEE.

2. Al-Kaltakchi, M.T., Woo, W.L., Dlay, S.S., & Chambers, J.A. (2016). Study of statistical robust closed set speaker identification with feature and score-based fusion. In: 2016 IEEE statistical signal processing workshop (SSP) (pp. 1–5). IEEE.

3. Al-Kaltakchi, M.T., Woo, W.L., Dlay, S.S., & Chambers, J.A. (2017). Speaker identification evaluation based on the speech biometric and i-vector model using the timit and ntimit databases. In: 2017 IEEE 5th international workshop on biometrics and forensics (IWBF) (pp. 1–6). IEEE.

4. Al-Kaltakchi, M. T., Woo, W. L., Dlay, S., & Chambers, J. A. (2017). Evaluation of a speaker identification system with and without fusion using three databases in the presence of noise and handset effects. EURASIP Journal on Advances in Signal Processing, 2017(1), 80.

5. Al-Nima, R. R. O., Abdullah, M. A., Al-Kaltakchi, M. T., Dlay, S. S., Woo, W. L., & Chambers, J. A. (2017). Finger texture biometric verification exploiting multi-scale sobel angles local binary pattern features and score-based fusion. Digital Signal Processing, 70, 178–189.

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