most citedEnhancing MRI-Based Classification of Alzheimer's Disease with Explainable 3D Hybrid Compact Convolutional Transformers

26 citations · 27 across the 5 of their papers we have counts for

collaborators

5 papers

eess.AS2026

MK-SGC-SC: Multiple Kernel Guided Sparse Graph Construction in Spectral Clustering for Unsupervised Speaker Diarization

Nikhil Raghav, Avisek Gupta, Swagatam Das +1

Speaker diarization aims to segment audio recordings into regions corresponding to individual speakers. Although unsupervised speaker diarization is inherently challenging, the pro…

eess.SP2024★ 1 cited

Self-Tuning Spectral Clustering for Speaker Diarization

Nikhil Raghav, Avisek Gupta, Md Sahidullah +1

Spectral clustering has proven effective in grouping speech representations for speaker diarization tasks, although post-processing the affinity matrix remains difficult due to the…

eess.AS2024

TCG CREST System Description for the Second DISPLACE Challenge

Nikhil Raghav, Subhajit Saha, Md Sahidullah +1

In this report, we describe the speaker diarization (SD) and language diarization (LD) systems developed by our team for the Second DISPLACE Challenge, 2024. Our contributions were…

eess.IV2024★ 26 cited

Enhancing MRI-Based Classification of Alzheimer's Disease with Explainable 3D Hybrid Compact Convolutional Transformers

Arindam Majee, Avisek Gupta, Sourav Raha +1

Alzheimer's disease (AD), characterized by progressive cognitive decline and memory loss, presents a formidable global health challenge, underscoring the critical importance of ear…

cs.SD2024

Exploring Green AI for Audio Deepfake Detection

Subhajit Saha, Md Sahidullah, Swagatam Das

The state-of-the-art audio deepfake detectors leveraging deep neural networks exhibit impressive recognition performance. Nonetheless, this advantage is accompanied by a significan…