Bottleneck neural networks for Speaker Recognition
From LRDE
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- Authors
- Guillaume Daval-Frerot
- Type
- techreport
- Year
- 2016
- Number
- 1605
Abstract
Deep neural networks are increasingly used for their capacity to correlate concrete parameters to deduce abstract characteristics. The bottleneck neural network is a specific form of those. This work presents the principle of this kind of network and its use for the reprocessing of Mel Frequency Cepstral Coefficients in a speaker recognition system. Therefore, it is a matter of studying the convergence of such network but also the change in overall system performance.