Despite its broad practical applications such as in fraud prevention,
op...
Many existing privacy-enhanced speech emotion recognition (SER) framewor...
A variety of recent works have looked into defenses for deep neural netw...
In this paper we investigate speech denoising as a defense against
adver...
With the growing prevalence of psychological interventions, it is vital ...
Deep learning models trained on audio-visual data have been successfully...
Robust speaker recognition, including in the presence of malicious attac...
The performance of most speaker diarization systems with x-vector embedd...
The primary characteristic of robust speaker representations is that the...
In this paper, we address the problem of speaker recognition in challeng...
We propose a new speaker diarization system based on a recently introduc...
In this work, we propose deep latent space clustering for speaker diariz...