Combining end-to-end neural speaker diarization (EEND) with vector clust...
In speaker recognition, where speech segments are mapped to embeddings o...
In speaker recognition, where speech segments are mapped to embeddings o...
This paper describes the system developed by the BUT team for the fourth...
Speaker embeddings (x-vectors) extracted from very short segments of spe...
In this report, we describe the submission of Brno University of Technol...
This is a description of our effort in VOiCES 2019 Speaker Recognition
c...
In this paper we investigate the use of adversarial domain adaptation fo...
The standard state-of-the-art backend for text-independent speaker
recog...
Embeddings in machine learning are low-dimensional representations of co...
Recently several end-to-end speaker verification systems based on deep n...