On the use of the Watson mixture model for clustering-based under-determined blind source separation

On the use of the Watson mixture model for clustering-based under-determined blind source separation

In this paper, we investigate the application of a generative clustering technique for the estimation of time-frequency source separation masks. Recent advances in time-frequency clustering-based approaches to blind source separation have touched upon the Watson mixture model (WMM) as a tool for sou...

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Bibliographic Details
Main Authors: Jafari, I., Togneri, R., Nordholm, Sven
Format: Conference Paper
Published: 2014
Online Access:http://hdl.handle.net/20.500.11937/26988

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