Factor analysis of Laplacian approach for speaker recognition

  title={Factor analysis of Laplacian approach for speaker recognition},
  author={Jinchao Yang and Chunyan Liang and Lin Yang and Hongbin Suo and Junjie Wang and Yonghong Yan},
  journal={2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
In this study, we introduce a new factor analysis of Laplacian approach to speaker recognition under the support vector machine (SVM) framework. The Laplacian-projected supervector from our proposed Laplacian approach, which finds an embedding that preserves local information by locality preserving projections (LPP), is believed to contain speaker dependent information. The proposed method was compared with the state-of-the-art total variability approach on 2010 National Institute of Standards… CONTINUE READING


Publications referenced by this paper.
Showing 1-10 of 17 references

Support Vector Machines

  • N. Cristianini, J. Shawe-Taylor
  • Cambridge University Press, Cambridge, UK, 2000.
  • 2000
Highly Influential
13 Excerpts

Language recognition with locality preserving projection

  • J. Yang, X. Zhang, L. Lu, J. Zhang, Y. Yan
  • The Sixth International Conference on Digital…
  • 2011
1 Excerpt

Lowdimensional Representation of Gaussian Mixture Model Supervector For Language Recognition

  • J. Yang, X. Zhang, B Hong, L. Lu, J. Zhang, Y. Yan
  • Accepted by EURASIP Journal on Advances in Signal…
  • 2011
2 Excerpts

Gragh-Embedding for Speaker Recognition

  • Zahi N.Karam, William M.Campbell
  • Proc. interspeech, 2010.
  • 2010
1 Excerpt

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