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Browsing Faculty of Engineering by Author "Ahilan, K."

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Controls of solar power systems for grid connected & islanded mode operations.

Ravindran, N.; Kokulavasan, T.; Rajan, R.; Yuvaraj, M.; Ahilan, K.; Atputharajah, A. (University of Jaffna, 2022)

Continuous supply of electricity, when there are supply constrains is a mar challenge. Environmental concerns and nonavailability of fossil fuels increases the demand for the use of renewable energy sources such as solar. ...
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 ...
Evaluating Deep Neural Network-based Speaker Verification Systems on Sinhala and Tamil Datasets

Anuraj, S.P.D.; Jarashanth, S.T.; Ahilan, K.; Valluvan, R.; Thiruvaran, T.; Kaneswaran, A. (IEEE, 2022)

Speaker verification, a biometric identifier, determines whether an input speech belongs to the claimed identity. The existing models for speaker verification have reported performances mainly in English, and no study ...
I-vector based Speaker Recognition Using Advanced Channel Compensation Techniques

Ahilan, K.; Dean, D.; Sridharan, S.; Laren, M.M.; Vogt, R. (2014)

This paper investigates advanced channel compensation techniques for the purpose of improving i-vector speaker verification performance in the presence of high intersession variability using the NIST 2008 and 2010 SRE ...
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 ...
Improving PLDA Speaker Verification Performance using Domain Mismatch Compensation Techniques

Rahman, M.H.; Ahilan, K.; Himawan, I.; Dean, D.; Sridharan, S. (2018)

The performance of state-of-the-art i-vector speaker verification systems relies on a large amount of training data for probabilistic linear discriminant analysis (PLDA) modeling. During the evaluation, it is also crucial ...
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 ...
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 ...
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 ...
Improving Short Utterance I-vector Speaker Verification using Utterance Variance Modelling and Compensation Techniques

Ahilan, K.; Dean, D.; Sridharan, S.; Dominguez, J.G.; Rodriguez, J.G.; Ramos, D. (Elsevier, 2014)

This paper proposes techniques to improve the performance of i-vector based speaker verification system when only short utterances are available. Short-length utterance i-vectors vary with speaker, session variations, and ...
Improving the performance of GPLDA speaker verification using unsupervised inter‑dataset variability compensation approaches

Ahilan, K. (Springer, 2018)

In practical applications, speaker verification systems have to be developed and trained using data which is outside the domain of the intended application as the collection of significant amount of in-domain data could ...
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 ...
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 ...
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 ...
JFA based Speaker Recognition using Delta-Phase and MFCC features

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

This paper investigates the use of mel-frequency deltaphase (MFDP) features in comparison to, and in fusion with, traditional mel-frequency cepstral coefficient (MFCC) features within joint factor analysis (JFA) speaker ...
LEAP Diarization System for the Second DIHARD Challenge

Singh, P.; Vardhan, H.; Ganapathy, S.; Ahilan, K. (2019)

This paper presents the LEAP System, developed for the Second DIHARD diarization Challenge. The evaluation data in the challenge is composed of multi-talker speech in restaurants, doctor-patient conversations, child language ...
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 ...
Micro-grid Concept for Coordinated Control of Renewable Energy Power Plants and a Way to Integrate with Main Grid

Anuraj, U.; Yuvaraj, M.; Rajan, R.; Hameed, I.; Arunprakash, N.; Sajeeva, J.; Kiriparan, B.; Yaalini, B.; Thananjeyan, S.; Tharsika, T.; Ahilan, K.; Atputharajah, A. (IEEE, 2022)

Many research papers discussed the increasing fossil fuel cost. As the cost is increasing in the present scenario it is necessary to incorporate Renewable Energy (RE) technologies to take primary role in generating ...
Operational experience of the first floating solar pilot plant in Sri Lanka

Atputharajah, A.; Ahilan, K.; Pirapaharan, K. (University of Jaffna, 2023)

The Sri Lanka’s first floating solar PV system is operated at the premises of the Faculty of Engineering, University of Jaffna from January 2020. The pilot project was implemented with the support of the Current Solar AS ...

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