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A Study of X-vector Based Speaker Recognition on Short Utterances

Ahilan, K.; Sridharan, S.; Sriram, G.; Prachi, S.; Fookes, C. (2019)

The aim of this work is to gain insights into how the deep neural network (DNN) models should be trained for short utterance evaluation conditions in an x-vector based speaker verification system. The study suggests that ...

A study on solar pv power generation influencing parameters using Captured data from faculty of engineering, university of jaffna solar Measuring station

Ahilan, K.; Valluvan, R.; Atputharajah, A. (2018)

A number of parameters such as solar irradiance, temperature, wind speed, wind direction and soiling are influencing the solar energy harvesting. It is essential to develop deeper understanding of the factors influencing ...

Investigating deep neural networks for speaker diarization in the Dihard challenge

Himawan, I.; Rahman, M.H.; Sridharan, S.; Fookes, C.; Ahilan, K. (IEEE, 2018)

We investigate the use of deep neural networks (DNNs) for the speaker diarization task to improve performance under domain mismatched conditions. Three unsupervised domain adaptation techniques, namely inter-dataset ...

Long-term Solar Irradiance Forecasting Approaches – A Comparative Study

Sharika, W.; Fernando, L.; Ahilan, K.; Valluvan, R.; Kaneswaran, A. (2018)

The need of solar irradiation forecast at a specific location over long-time horizons has attained massive importance. In this paper, we study the machine learning techniques to predict solar irradiation in 10 min intervals ...

SPEAKERS IN THE WILD (SITW): The QUT Speaker Recognition System

Ghaemmaghami, H.; Raman, M.H.; Himawan, I.; Dean, D.; Ahilan, K.; Sridharan, S.; Fookes, C. (2016)

This paper presents the QUT speaker recognition system, as a competing system in the Speakers In The Wild (SITW) speaker recognition challenge. Our proposed system achieved an overall ranking of second place, in the main ...

Short Utterance Variance Modelling and Utterance Partitioning for PLDA Speaker Verification

Ahilan, K.; Dean, D.; Sridharan, S.; Fookes, C.; Himawan, I. (2016)

This paper analyses the short utterance probabilistic linear discriminant analysis (PLDA) speaker verification with utterance partitioning and short utterance variance (SUV) modelling approaches. Experimental studies have ...

Improving out-domain plda speaker verification using unsupervised Inter-dataset variability compensation approach

Ahilan, K.; Dean, D.; Sridharan, S. (2015)

Experimental studies have found that when the state-of-theart probabilistic linear discriminant analysis (PLDA) speaker verification systems are trained using out-domain data, it significantly affects speaker verification ...

Investigating In-domain Data Requirements for PLDA Training

Rahman, M.H.; Dean, D.; Ahilan, K.; Sridharan, S. (2015)

This paper analyzes the limitations upon the amount of indomain (NIST SREs) data required for training a probabilistic linear discriminant analysis (PLDA) speaker verification system based on out-domain (Switchboard) total ...

Dataset-Invariant Covariance Normalization for Out-domain PLDA Speaker Verification

Rahman, M.H.; Ahilan, K.; Dean, D.; Sridharan, S. (2015)

In this paper we introduce a novel domain-invariant covariance normalization (DICN) technique to relocate both in-domain and out-domain i-vectors into a third dataset-invariant space, providing an improvement for out-domain ...

Improving PLDA Speaker Verification using WMFD and Linear-weighted Approaches in Limited Microphone Data Conditions

Ahilan, K.; Dean, D.; Sridharan, S. (2015)

This paper proposes the addition of a weighted median Fisher discriminator (WMFD) projection prior to length-normalised Gaussian probabilistic linear discriminant analysis (GPLDA) modelling in order to compensate the ...

Improving PLDA Speaker Verification using WMFD and Linear-weighted Approaches in Limited Microphone Data Conditions

Ahilan, K.; Dean, D.; Sridharan, S. (2015)

This paper proposes the addition of a weighted median Fisher discriminator (WMFD) projection prior to length-normalised Gaussian probabilistic linear discriminant analysis (GPLDA) modelling in order to compensate the ...

The QUT-NOISE-SRE Protocol for the Evaluation of Noisy Speaker Recognition

Dean, D.; Ahilan, K.; Ghaemmaghami, H.; Rahman, M.H.; Sridharan, S. (2015)

The QUT-NOISE-SRE protocol is designed to mix the large QUT-NOISE database, consisting of over 10 hours of background noise, collected across 10 unique locations covering 5 common noise scenarios, with commonly used speaker ...

Improving Plda Speaker Verification With Limited Development Data

Ahilan, K.; Dean, D.; Sridharan, S. (IEEE, 2014)

This paper analyses the probabilistic linear discriminant analysis (PLDA) speaker verification approach with limited development data. This paper investigates the use of the median as the central tendency of a speaker’s ...

Short Utterance PLDA Speaker Verification using SN-WLDA and Variance Modelling Techniques

Ahilan, K.; Dean, D.; Sridharan, S. (2014)

This paper proposes a combination of source-normalized weighted linear discriminant analysis (SN-WLDA) and short utterance variance (SUV) PLDA modelling to improve the short utterance PLDA speaker verification. As short-length ...

Improving the PLDA based Speaker Verification in Limited Microphone Data Conditions

Ahilan, K.; Dean, D.; Dominguez, J.G.; Sridharan, S.; Ramos, D.; Rodriguez, J.G. (2013)

A significant amount of speech data is required to develop a robust speaker verification system, but it is difficult to find enough development speech to match all expected conditions. In this paper we introduce a new ...

Improving Short Utterance based I-vector Speaker Recognition using Source and Utterance-Duration Normalization Techniques

Ahilan, K.; Dean, D.; Dominguez, J.G.; Sridharan, S.; Ramos, D.; Rodriguez, J.G. (2013)

verification system development and evaluation, especially in the presence of large intersession variability. This paper introduces a source and utterance-duration normalized linear discriminant analysis (SUN-LDA) approaches ...

PLDA based Speaker Verification with Weighted LDA Techniques

Ahilan, K.; Dean, D.; Sridharan, S.; Vogt, R. (2012)

This paper investigates the use of the dimensionality-reduction techniques weighted linear discriminant analysis (WLDA), and weighted median fisher discriminant analysis (WMFD), before probabilistic linear discriminant ...

Weighted Lda Techniques For I-Vector Based Speaker Verification

Ahilan, K.; Dean, D.; Vogt, R.; McLaren, M.; Sridharan, S.; Mason, M. (IEEE, 2012)

This paper introduces the Weighted Linear Discriminant Analysis (WLDA) technique, based upon the weighted pairwise Fisher criterion, for the purposes of improving i-vector speaker verification in the presence of high ...

PLDA based Speaker Recognition on Short Utterances

Ahilan, K.; Dean, D.; Sridharan, S.; Vogt, R. (2012)

This paper investigates the use of the dimensionality-reduction techniques weighted linear discriminant analysis (WLDA), and weighted median fisher discriminant analysis (WMFD), before probabilistic linear discriminant ...

PLDA based Speaker Verification with Weighted LDA Techniques

Ahilan, K.; Dean, D.; Sridharan, S.; Vogt, R. (2012)

techniques weighted linear discriminant analysis (WLDA), and weighted median fisher discriminant analysis (WMFD), before probabilistic linear discriminant analysis (PLDA) modeling for the purpose of improving speaker ...

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