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Joint frame and Gaussian selection for text independent speaker verification
- Source :
- ICASSP
- Publication Year :
- 2010
- Publisher :
- IEEE, 2010.
-
Abstract
- Gaussian selection is a technique applied in the GMM-UBM framework to accelerate score calculation. We have recently introduced a novel Gaussian selection method known as sorted GMM (SGMM). SGMM uses scalar-indexing of the universal background model mean vectors to achieve fast search of the top-scoring Gaussians. In the present work we extend this method by using 2-dimensional indexing, which leads to simultaneous frame and Gaussian selection. Our results on the NIST 2002 speaker recognition evaluation corpus indicate that both the 1- and 2- dimensional SGMMs outperform frame decimation and temporal tracking of top-scoring Gaussians by a wide margin (in terms of Gaussian computations relative to GMM-UBM as baseline).
Details
- Database :
- OpenAIRE
- Journal :
- 2010 IEEE International Conference on Acoustics, Speech and Signal Processing
- Accession number :
- edsair.doi...........c4e5281d4e03b4f82e5572206f39b3c1