3 citations · 4 across the 4 of their papers we have counts for
5 papers
DocHRL: A Hierarchical Reinforcement Learning Framework for Cost-Optimised Document Classification
Mohammed Yousif, Prabhjot Singh, Arjun Pankajakshan +1
Real-world document classification pipelines typically apply the same sequence of models to every incoming document, regardless of its complexity or type. This leads to inefficient…
Enhancing Generalization in Audio Deepfake Detection: A Neural Collapse based Sampling and Training Approach
Mohammed Yousif, Jonat John Mathew, Huzaifa Pallan +5
Generalization in audio deepfake detection presents a significant challenge, with models trained on specific datasets often struggling to detect deepfakes generated under varying c…
Towards the Development of a Real-Time Deepfake Audio Detection System in Communication Platforms
Jonat John Mathew, Rakin Ahsan, Sae Furukawa +6
Deepfake audio poses a rising threat in communication platforms, necessitating real-time detection for audio stream integrity. Unlike traditional non-real-time approaches, this stu…
Memory Controlled Sequential Self Attention for Sound Recognition
Arjun Pankajakshan, Helen L. Bear, Vinod Subramanian +1
In this paper we investigate the importance of the extent of memory in sequential self attention for sound recognition. We propose to use a memory controlled sequential self attent…
Polyphonic Sound Event and Sound Activity Detection: A Multi-task approach
Arjun Pankajakshan, Helen L. Bear, Emmanouil Benetos
Polyphonic Sound Event Detection (SED) in real-world recordings is a challenging task because of the dynamic polyphony level, intensity, and duration of sound events. Current polyp…