Robust Speaker Verification With Joint Sparse Coding Over Learned Dictionaries

@article{HarisB2015RobustSV,
  title={Robust Speaker Verification With Joint Sparse Coding Over Learned Dictionaries},
  author={C. B. HarisB. and Rohit Sinha},
  journal={IEEE Transactions on Information Forensics and Security},
  year={2015},
  volume={10},
  pages={2143-2157}
}
This paper presents a novel paradigm for speaker verification (SV) exploiting sparse representation (SR) over a learned dictionary. The proposed approach is intended to overcome the shortcomings of existing SR over an exemplar dictionary-based SV systems. In this paper, the supervectors created by concatenating the mean vectors of adapted Gaussian mixture models are used as speaker representations. Both simple and discriminative methods are explored for learning the dictionary in the… CONTINUE READING

References

Publications referenced by this paper.
Showing 1-10 of 48 references

Sparse representation over learned and discriminatively learned dictionaries for speaker verification

2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) • 2012
View 7 Excerpts
Highly Influenced

Front-End Factor Analysis for Speaker Verification

IEEE Transactions on Audio, Speech, and Language Processing • 2011
View 5 Excerpts
Highly Influenced

i-vector with sparse representation classification for speaker verification

J.M.K. Kua, J. Epps, E. Ambikairajah
Speech Commun., vol. 55, no. 5, pp. 707–720, Jun. 2013. • 2013
View 4 Excerpts
Highly Influenced

A novel scheme for speaker recognition using a phonetically-aware deep neural network

2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) • 2014
View 1 Excerpt

Maximum Likelihood Acoustic Factor Analysis Models for Robust Speaker Verification in Noise

IEEE/ACM Transactions on Audio, Speech, and Language Processing • 2014
View 1 Excerpt