Title:
Classification of anomalous machine sounds using i-vectors
Classification of anomalous machine sounds using i-vectors
Author(s)
Tanveer, Maham
Advisor(s)
Anderson, David V.
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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.
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Date Issued
2020-04-08
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Resource Type
Text
Resource Subtype
Thesis