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    Classification of anomalous machine sounds using i-vectors

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    TANVEER-THESIS-2020.pdf (752.0Kb)
    Date
    2020-04-08
    Author
    Tanveer, Maham
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    Abstract
    The objective of the proposed work is to analyze and study the use of i-vectors for Anomalous Detection of Sounds (ADS) in Machines. I-vectors, to the best of our knowledge, have not been studied for machine sounds. We will be using the database ToyADMOS for testing both supervised and unsupervised ADS techniques using i-vectors generated from the data.
    URI
    http://hdl.handle.net/1853/62812
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    • Georgia Tech Theses and Dissertations [23877]
    • School of Electrical and Computer Engineering Theses and Dissertations [3381]

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