9 citations · 11 across the 6 of their papers we have counts for
4 papers · 1 filter
A Study on Improving Multi-class Audio Source Separation Via Decoupled CLAP Query Optimization and an Automated Data Engine
Amirhossein Hajavi, Hanhee Lee, Pushya Jain +4
Language-queried audio source separation (LASS) enables extracting any sound source using natural language. However, adapting LASS models to application-specific sound classes is c…
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…
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…
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…