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Found 5 papers, 1 papers with code
On Training Targets and Activation Functions for Deep Representation Learning in Text-Dependent Speaker Verification
Furthermore, we study a range of loss functions when speaker identity is used as the training target.
Vocal Tract Length Perturbation for Text-Dependent Speaker Verification with Autoregressive Prediction Coding
In this letter, we propose a vocal tract length (VTL) perturbation method for text-dependent speaker verification (TD-SV), in which a set of TD-SV systems are trained, one for each VTL factor, and score-level fusion is applied to make a final decision.
rVAD: An Unsupervised Segment-Based Robust Voice Activity Detection Method
In the end, a posteriori SNR weighted energy difference is applied to the extended pitch segments of the denoised speech signal for detecting voice activity.
Time-Contrastive Learning Based Deep Bottleneck Features for Text-Dependent Speaker Verification
There are a number of studies about extraction of bottleneck (BN) features from deep neural networks (DNNs)trained to discriminate speakers, pass-phrases and triphone states for improving the performance of text-dependent speaker verification (TD-SV).
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+4
Time-Contrastive Learning Based DNN Bottleneck Features for Text-Dependent Speaker Verification
It is well-known that speech signals exhibit quasi-stationary behavior in and only in a short interval, and the TCL method aims to exploit this temporal structure.
