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Found 7 papers, 1 papers with code
Attentive activation function for improving end-to-end spoofing countermeasure systems
The main objective of the spoofing countermeasure system is to detect the artifacts within the input speech caused by the speech synthesis or voice conversion process.
Robust Speech Representation Learning via Flow-based Embedding Regularization
Over the recent years, various deep learning-based methods were proposed for extracting a fixed-dimensional embedding vector from speech signals.
Learning Semantic Similarities for Prototypical Classifiers
Recent metric learning approaches parametrize semantic similarity measures through the use of an encoder trained along with a similarity model, which operates over pairs of representations.
An end-to-end approach for the verification problem: learning the right distance
In this contribution, we augment the metric learning setting by introducing a parametric pseudo-distance, trained jointly with the encoder.
Short-duration Speaker Verification (SdSV) Challenge 2021: the Challenge Evaluation Plan
This document describes the Short-duration Speaker Verification (SdSV) Challenge 2021.
Adapting End-to-End Neural Speaker Verification to New Languages and Recording Conditions with Adversarial Training
In this article we propose a novel approach for adapting speaker embeddings to new domains based on adversarial training of neural networks.
Generative Adversarial Speaker Embedding Networks for Domain Robust End-to-End Speaker Verification
Furthermore, we are able to significantly boost verification performance by averaging our different GAN models at the score level, achieving a relative improvement of 7. 2% over the baseline.
