We study multi-task learning for two orthogonal speech technology tasks:...
We investigate recent transformer networks pre-trained for automatic spe...
This work considers training neural networks for speaker recognition wit...
This paper explores applying the wav2vec2 framework to speaker recogniti...
This paper describes our initial efforts to build a large-scale speaker
...
In the FAME! project, we aim to develop an automatic speech recognition ...
In this paper, we investigate the code-switching detection performance o...
In this paper, we describe several techniques for improving the acoustic...
In this paper we study the probabilistic properties of the posteriors in...
This paper describes the data collection effort that is part of the proj...
In this paper we study speaker linking (a.k.a. partitioning) given
const...