An Online Solution for Localisation, Tracking and Separation of Moving Speech Sources
Access Status
Open access
Authors
Date
2015Supervisor
Assoc. Prof. Ba Tuong
Prof. Sven Nordholm
Dr Iain Murray
Type
Thesis
Education Level
PhD
Metadata
Show full item recordAbstract
The problem of separating a time varying number of speech sources in a room is difficult to solve. The challenge lies in estimating the number and the location of these speech sources. Furthermore, the tracked speech sources need to be separated. This thesis proposes a solution which utilises the Random Finite Set approach to estimate the number and location of these speech sources and subsequently separate the speech source mixture via time frequency masking.
School
Department of Electrical and Computer Engineering
Collection
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