On the use of DNN Autoencoder for Robust Speaker Recognition

R. M. Aarts, “A comparison of some loudness measures for loudspeaker listening tests,”

1992

Earlier work this paper cites.

J. Pelecanos and S. Sridharan, “Feature warping for robust speaker verification,” in

2006

Earlier work this paper cites.

P. Matějka, L. Burget, P. Schwarz, and J. Černocký, “Brno university of technology system for NIST 2005 language recognition evaluation,” in

2006

Earlier work this paper cites.

ETSI, “Speech processing, transmission and quality aspects (STQ),” European Telecommunications Standards Institute (ETSI), Tech. Rep. ETSI ES 202 050, 2007

2007

Earlier work this paper cites.

B. Dufera and T. Shimamura, “Reverberated speech enhancement using neural networks,” in

2009

Earlier work this paper cites.

R. Stewart and M. Sandler, “Database of omnidirectional and b-format room impulse responses,” in

2010

Earlier work this paper cites.

N. Dehak, P. Kenny, R. Dehak, P. Dumouchel, and P. Ouellet, “Front-end factor analysis for speaker verification,” vol. PP, no. 99, pp. 1 –1, 2010

2010

Earlier work this paper cites.

P. Kenny, “Bayesian speaker verification with heavy–tailed priors,” keynote presentation, Proc. of Odyssey 2010, Brno, Czech Republic, June 2010

2010

Cited alongside, same era.

D. Garcia-Romero, “Analysis of i-vector length normalization in Gaussian-PLDA speaker recognition systems,” 2011

2011

Cited alongside, same era.

L. Ferrer, H. Bratt, L. Burget, H. Cernocky, O. Glembek, M. Graciarena, A. Lawson, Y. Lei, P. Matejka, O. Plchot, and N. Scheffer, “Promoting robustness for speaker modeling in the community: the PRISM evaluation set,” in

2011

Cited alongside, same era.

K. Kumatani, T. Arakawa, K. Yamamoto, J. McDonough, B. Raj, R. Singh, and I. Tashev, “Microphone array processing for distant speech recognition: Towards real-world deployment,” in

2012

Cited alongside, same era.

Y. Lei, L. Burget, L. Ferrer, M. Graciarena, and N. Scheffer, “Towards noise-robust speaker recognition using probabilistic linear discriminant analysis,” in

T. Yanhui, D. Jun, X. Yong, D. Lirong, and L. Chin-Hui, “Deep neural network based speech separation for robust speech recognition,” in

2014

Later among the works it cites.

Y. Xu, J. Du, L.-R. Dai, and C.-H. Lee, “An experimental study on speech enhancement based on deep neural networks,”

2014

Later among the works it cites.

——, “Global variance equalization for improving deep neural network based speech enhancement,” in

2014

Later among the works it cites.

M. Mimura, S. Sakai, and T. Kawahara, “Reverberant speech recognition combining deep neural networks and deep autoencoders,” in

2014

Later among the works it cites.

D. G. Martínez, L. Burget, T. Stafylakis, Y. Lei, P. Kenny, and E. LLeida, “Unscented transform for ivector-based noisy speaker recognition,” in

2014

Later among the works it cites.