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Eliathamby Ambikairajah
Researcher at University of New South Wales
Publications - 331
Citations - 5110
Eliathamby Ambikairajah is an academic researcher from University of New South Wales. The author has contributed to research in topics: Speaker recognition & Speech processing. The author has an hindex of 32, co-authored 327 publications receiving 4453 citations. Previous affiliations of Eliathamby Ambikairajah include University of Sri Lanka & Commonwealth Scientific and Industrial Research Organisation.
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Journal ArticleDOI
Classification of a known sequence of motions and postures from accelerometry data using adapted Gaussian mixture models
TL;DR: A novel time-domain feature extraction method is proposed for the GMM system to allow better detection of short-duration movements and more adaptable to a specific person or device.
Journal ArticleDOI
Signal Processing in Sequence Analysis: Advances in Eukaryotic Gene Prediction
TL;DR: A new technique for the recognition of acceptor splice sites is proposed, which combines signal processing-based gene and exon prediction methods with an existing data-driven statistical method, and reveals a consistent reduction in false positives at different levels of sensitivity.
Journal ArticleDOI
Language Identification: A Tutorial
TL;DR: This tutorial presents an overview of the progression of spoken language identification (LID) systems and current developments, and Evaluations of the LID system are presented using NIST language recognition evaluation tasks.
Proceedings ArticleDOI
Accelerometry Based Classification of Walking Patterns Using Time-frequency Analysis
TL;DR: Time-frequency domain features of acceleration data in anterior-posterior (AP), medio-lateral (ML) and vertical (VT) direction were developed and evaluated to detect five different human walking patterns from data acquired using a triaxial accelerometer attached at the waist above the iliac spine.
Proceedings ArticleDOI
On DNA Numerical Representations for Period-3 Based Exon Prediction
TL;DR: Almost all existing methods are compared for the purpose of identifying protein coding regions, using the discrete Fourier transform (DFT) based spectral content measure to exploit period-3 behaviour in the exonic regions for the GENSCAN test set.