9 citations · 11 across the 6 of their papers we have counts for
9 papers
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…
Siamese Capsule Network for End-to-End Speaker Recognition In The Wild
Amirhossein Hajavi, Ali Etemad
We propose an end-to-end deep model for speaker verification in the wild. Our model uses thin-ResNet for extracting speaker embeddings from utterances and a Siamese capsule network…
FluentNet: End-to-End Detection of Speech Disfluency with Deep Learning
Tedd Kourkounakis, Amirhossein Hajavi, Ali Etemad
Strong presentation skills are valuable and sought-after in workplace and classroom environments alike. Of the possible improvements to vocal presentations, disfluencies and stutte…
Fine-grained Early Frequency Attention for Deep Speaker Representation Learning
Amirhossein Hajavi, Ali Etemad
Deep learning techniques have considerably improved speech processing in recent years. Speaker representations extracted by deep learning models are being used in a wide range of t…
Detecting Multiple Speech Disfluencies using a Deep Residual Network with Bidirectional Long Short-Term Memory
Tedd Kourkounakis, Amirhossein Hajavi, Ali Etemad
Stuttering is a speech impediment affecting tens of millions of people on an everyday basis. Even with its commonality, there is minimal data and research on the identification and…
A Deep Neural Network for Short-Segment Speaker Recognition
Amirhossein Hajavi, Ali Etemad
Todays interactive devices such as smart-phone assistants and smart speakers often deal with short-duration speech segments. As a result, speaker recognition systems integrated int…