Recently, the pre-trained Transformer models have received a rising inte...
Self-supervised learning of speech representations from large amounts of...
In speaker recognition, where speech segments are mapped to embeddings o...
Motivated by unconsolidated data situation and the lack of a standard
be...
In this report, we describe the submission of Brno University of Technol...
Majority of the text modelling techniques yield only point estimates of
...
This is a description of our effort in VOiCES 2019 Speaker Recognition
c...
Contrary to i-vectors, speaker embeddings such as x-vectors are incapabl...
In this work, we continue in our research on i-vector extractor for spea...
In this work, we present an analysis of a DNN-based autoencoder for spee...
In this paper, we present an analysis of a DNN-based autoencoder for spe...
In this paper we investigate the use of adversarial domain adaptation fo...
In this work we revisit discriminative training of the i-vector extracto...
Recently several end-to-end speaker verification systems based on deep n...