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20152026
most citedGraph-Based Deep Learning for Medical Diagnosis and Analysis: Past, Present and Future

266 citations · 1.7k across the 136 of their papers we have counts for

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5 papers · 1 filter

cs.SD2021

Robust and Interpretable Temporal Convolution Network for Event Detection in Lung Sound Recordings

Tharindu Fernando, Sridha Sridharan, Simon Denman +2

This paper proposes a novel framework for lung sound event detection, segmenting continuous lung sound recordings into discrete events and performing recognition on each event. Exp…

cs.SD2020

A Robust Interpretable Deep Learning Classifier for Heart Anomaly Detection Without Segmentation

Theekshana Dissanayake, Tharindu Fernando, Simon Denman +3

Traditionally, abnormal heart sound classification is framed as a three-stage process. The first stage involves segmenting the phonocardiogram to detect fundamental heart sounds; a…

cs.SD2016★ 1 cited

Improving Short Utterance PLDA Speaker Verification using SUV Modelling and Utterance Partitioning Approach

Ahilan Kanagasundaram, David Dean, Sridha Sridharan +1

This paper analyses the short utterance probabilistic linear discriminant analysis (PLDA) speaker verification with utterance partitioning and short utterance variance (SUV) modell…

cs.SD2016★ 11 cited

DNN based Speaker Recognition on Short Utterances

Ahilan Kanagasundaram, David Dean, Sridha Sridharan +1

This paper investigates the effects of limited speech data in the context of speaker verification using deep neural network (DNN) approach. Being able to reduce the length of requi…

cs.SD2016★ 1 cited

Domain adaptation based Speaker Recognition on Short Utterances

Ahilan Kanagasundaram, David Dean, Sridha Sridharan +1

This paper explores how the in- and out-domain probabilistic linear discriminant analysis (PLDA) speaker verification behave when enrolment and verification lengths are reduced. Ex…