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From Source Localization to Blind Source Separation: an intuitive route to convolutive blind source separation
- Author(s)
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- Bjoern Schoelling, (Darmstadt University of Technology)
- Martin Heckmann, (Honda Research Institute Europe GmbH)
- Frank Joublin, (Honda Research Institute Europe GmbH)
- Christian Goerick, (Honda Research Institute Europe GmbH)
- Topics
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- Microphone arrays and array signal processing
- Sound enhancement and sound separation
- Adaptive filtering algorithms and structures for echo and noise control
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Abstract
Most algorithms for blind source separation (BSS) of convolutive speech mixtures are derived in a deductive way from abstract statistical principles and exploit a combination of three signal properties, i.e. nongaussianity, nonwhiteness and nonstationarity.
In this paper we show how a separation system can be build
the opposite, inductive, way using basic speech processing building blocks. The main block and starting point of our derivation is a simple generalized cross correlation based localization systemw with two microphones. The capability of source separation (2 signals and 2 sensors) is added by duplicating the localization structure and adding an inhibition mechanism which suppresses already localized sounds.
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