IVector space mapping with Deep Neural Network
From LRDE
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- Authors
- Louis Groux
- Type
- techreport
- Year
- 2015
- Number
- 1509
Abstract
Building a robust speaker recognition system needs very slow and complex algorithms. In this work, we propose a deep neural network to map a low dimensionnal ivector space based on less complex model into high dimensional ivector space. The system will be evaluated on speaker recognition task of NIST-SRE 2010 data.