Nonparametric feature normalization for SVM-based speaker verification

  title={Nonparametric feature normalization for SVM-based speaker verification},
  author={Andreas Stolcke and Sachin S. Kajarekar and Luciana Ferrer},
  journal={2008 IEEE International Conference on Acoustics, Speech and Signal Processing},
We investigate several feature normalization and scaling approaches for use in speaker verification based on support vector machines. We are particularly interested in methods that are "knowledge-free" and work for a variety of features, leading us to investigate MLLR transforms, phone N-grams, prosodic sequences, and word N-gram features. Normalization methods studied include mean/variance normalization, TFLLR and TFLOG scaling, and a simple nonparametric approach: rank-normalization. We find… CONTINUE READING
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