activity
20162020
most citedDNN based Speaker Recognition on Short Utterances

11 citations · 13 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2020

Meta Transfer Learning for Emotion Recognition

Dung Nguyen, Sridha Sridharan, Duc Thanh Nguyen +3

Deep learning has been widely adopted in automatic emotion recognition and has lead to significant progress in the field. However, due to insufficient annotated emotion datasets, p…

cs.CV2018

Meta Transfer Learning for Facial Emotion Recognition

Dung Nguyen, Kien Nguyen, Sridha Sridharan +3

The use of deep learning techniques for automatic facial expression recognition has recently attracted great interest but developed models are still unable to generalize well due t…

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…