This paper proposes a vectorial Z-normalization approach, the VZ-norm, which extends Z-normalisation to the multivariate case. It is applied in the framework of Anchor Model (AM) based speaker verification. It experimentally proves to significantly improve performance of anchor models on NIST and ESTER databases. A comparative study of different strategies for computing the covariance matrix involved in the AM VZ-norm is presented and commented.
Cite as: Charlet, D., Collet, M., Bimbot, F. (2007) VZ-norm: an extension of z-norm to the multivariate case for anchor model based speaker verification. Proc. Interspeech 2007, 742-745, doi: 10.21437/Interspeech.2007-138
@inproceedings{charlet07_interspeech,
author={D. Charlet and M. Collet and Frédéric Bimbot},
title={{VZ-norm: an extension of z-norm to the multivariate case for anchor model based speaker verification}},
year=2007,
booktitle={Proc. Interspeech 2007},
pages={742--745},
doi={10.21437/Interspeech.2007-138}
}