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    Chapter and Conference Paper

    Cosine Distance Metric Learning for Speaker Verification Using Large Margin Nearest Neighbor Method

    In this paper, a novel cosine similarity metric learning based on large margin nearest neighborhood (LMNN) is proposed for an i-vector based speaker verification system. Generally, in an i-vector based speaker...

    Waquar Ahmad, Harish Karnick in Advances in Multimedia Information Process… (2014)

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    Chapter and Conference Paper

    An Unsupervised Approach to Multiple Speaker Tracking for Robust Multimedia Retrieval

    Tagging multi media data based on who is speaking at what time, is important especially in the intelligent retrieval of recordings of meetings and conferences. In this paper an unsupervised approach to trackin...

    M. Phanikumar, Lalan Kumar, Rajesh M. Hegde in The Era of Interactive Media (2013)

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    Chapter and Conference Paper

    An Adaptive Non Reference Anchor Array Framework for Distant Speech Recognition

    Distant speech recognition over microphone arrays is challenging, especially in multi source environments. In this paper, a non reference anchor array (NRA) framework for distant speech recognition is proposed...

    Arpit Shukla, Karan Nathwani in Advances in Multimedia Information Process… (2012)

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    Chapter and Conference Paper

    Distant Speaker Verification Using a Combined Family of MVDR Estimates

    Distant speaker verification involves explicit spectral estimation of speech acquired over microphone arrays. The choice of the appropriate set of microphones is important here. In this paper we describe an im...

    Bhargava Manevarte, Waquar Ahmad in Advances in Multimedia Information Process… (2012)

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    Chapter and Conference Paper

    Cluster and Intrinsic Dimensionality Analysis of the Modified Group Delay Feature for Speaker Classification

    Speakers are generally identified by using features derived from the Fourier transform magnitude. The Modified group delay feature(MODGDF) derived from the Fourier transform phase has been used effectively for...

    Rajesh M. Hegde, Hema A. Murthy in Neural Information Processing (2004)