Publications and Essays

  1. Speaker Adaptation Using Eigenvoices (1999)

    1. Abstract

      The thesis considers a novel technique for adaptation of speaker models, called eigenvoice decomposition (ED), based around reducing the dimension of the search space of acoustic models. The technique is compared both practically and theoretically with several other adaptation techniques. The use of Principal Component Analysis to choose the subspace is discussed and evaluated. One published method of choosing a model within this space, Maximal Likelihood Eigenvoice Decomposition, is presented and compared with a new method, Weighted Projection. Robust estimation of the subspace was found to be difficult, but when it could be performed, ED was found to give a significant improvement in recognition accuracy with only one adaptation sentence, rather than the five or so required by other methods.

    2. Thesis written as part of my M.Phil in Computer Speech and Language Processing at University of Cambridge.

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  2. Using Support Vector Machines for Speech Processing (1999)

    1. Abstract

      This essay considers the topic “Explain how support vector machines work and discuss their potential advantages and disadvantages for use in speech pattern processing”. Initially there is a discussion about the aims of statistical learning, and how this motivates the design of support vector machines. The advantages and disadvantages of using support vector machines for speech processing are discussed, incorporating a survey into the state of the art of this technology and possible research directions.

    2. Essay written as part of my M.Phil in Computer Speech and Language Processing at University of Cambridge.

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