1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.SD2023
A Study on Bias and Fairness In Deep Speaker Recognition
Amirhossein Hajavi, Ali Etemad
With the ubiquity of smart devices that use speaker recognition (SR) systems as a means of authenticating individuals and personalizing their services, fairness of SR systems has b…
cs.SD2023
Audio Representation Learning by Distilling Video as Privileged Information
Amirhossein Hajavi, Ali Etemad
Deep audio representation learning using multi-modal audio-visual data often leads to a better performance compared to uni-modal approaches. However, in real-world scenarios both m…
cs.SD2022★ 1 cited
Fine-grained Early Frequency Attention for Deep Speaker Recognition
Amirhossein Hajavi, Ali Etemad
Attention mechanisms have emerged as important tools that boost the performance of deep models by allowing them to focus on key parts of learned embeddings. However, current attent…