A. Kanagasundaram, S. Sridharan, G. Sriram, S. Prachi3, and C. Fookes, A Study of X-vector Based Speaker Recognition on Short Utterances, 2019.

M. Waad-ben-kheder, M. Driss, J. Ajili, and . Bonastre, A Unified Joint Model to Deal With Nuisance Variabilities in the i-Vector Space, Speech, and Language Processing, 2018.

D. Waad-ben-kheder, . Matrouf, -. Pierre, . Bousquet, M. Jean-françois-bonastre et al., Fast i-vector denoising using MAP estimation and a noise distributions database for robust speaker recognition, Computer Speech & Language, vol.45, pp.104-122, 2017.

M. Waad-ben-kheder, M. Driss, J. Ajili, and . Bonastre, Probabilistic Approach Using Joint Clean and Noisy i-Vectors Modeling for Speaker Recognition, 2016.

P. Sefik-emre-eskimeza, Z. Soufleris, W. Duana, and . Heiniman, Front-end speech enhancement for commercial speaker verification systems, Speech Communication, vol.99, pp.101-113, 2018.

S. Boll, Suppression of Acoustic Noise in Speech Using Spectral Subtraction, IEEE Transactions on Acoustics, Speech, and Signal Processing, vol.27, issue.2, pp.113-120, 1979.

Y. E. Malah, Speech enhancement using a minimum mean-square error-log-spectral amplitude estimator(Article), IEEE Transactions on Acoustics, Speech, and Signal Processing, vol.33, issue.2, pp.443-445, 1985.

O. Novotný, O. Plchot, O. Glembek, J. H. ?ernocký, and L. Burget, Analysis of DNN Speech Signal Enhancement for Robust Speaker Recognition, Computer Speech & Language, vol.58, pp.403-421, 2019.

S. Shon, H. Tang, and J. Glass, VoiceID Loss: Speech Enhancement for Speaker Verification, INTERSPEECH 2019, 2019.

Z. Meng, Y. Zhao, J. Li, and Y. Gong, Adverserial Speaker Verification, ICASSP 2019, 2019.

T. Pekhovsky, S. Novoselov, A. Sholohov, and O. Kudashev, On autoencoders in the i-vector space for speaker recognition, 2016.

S. Mahto, H. Yamamoto, and T. Koshinaka, I-vector Transformation Using a Novel Discriminative Denoising Autoencoderfor Noiserobust Speaker Recognitio, 2017.

I. Goodfellow, Y. Bengio, and A. Courville, Deep Learning, 2016.

J. D. Y.-n and . Li-chai, Gaussian denisty guided deep neural network for single-channel speech enhancement, 2017 IEEE International workshop in machine learning for signal processing, 2017.

W. Z. Zhang, Learning Deep CNN Denoiser Prior for Image Restoration, 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017.

A. Nagrani, J. S. Chung, W. Xie, W. Xie, and A. Zisserman, Voxceleb: Large-scale speaker verification in the wild, Computer Speech & Language, vol.60, p.2020

D. Snyder, D. Garcia-romero, G. Sell, D. Povey, and S. Khudanpur, MUSAN: A Music, Speech, and Noise Corpus, 2015.

&. Bbc, &. Bbc, and . Bbc,

D. Snyder, D. Garcia-romero, G. Sell, D. Povey, and S. Khudanpur, X-Vectors: Robust DNN Embeddings for Speaker Recognition, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing, 2018.

M. Abadi, A. Agarwal, P. Barham, and E. Brevdo, TensorFlow: Large-scale machine learning on heterogeneous systems, 2015.

F. Chollet, Keras

K. He, X. Zhang, S. Ren, and J. Sun, Deep Residual Learning for Image Recognition