Publication | Closed Access
Blind separation of multiple speakers in a multipath environment
91
Citations
7
References
2002
Year
Unknown Venue
Multipath EnvironmentSource SeparationEngineeringMachine LearningHealth SciencesSpeech EnhancementInfomax ObjectiveSpeech SeparationSpeech ProcessingComputer ScienceMulti-channel ProcessingEqualization MethodsSignal SeparationSignal ProcessingMultipath ExtensionSpeech CommunicationSpeech Recognition
We relate information theoretic blind learning methods (infomax) and Bussgang blind equalization methods. The multipath extension of blind source separation methods can be seen in the frequency domain using FIR matrix algebra (matrices of finite impulse response filters). Three forms of Bussgang algorithms are given. The blind serial update method of Cardoso and Laheld (1994) is related to the infomax objective of Bell and Sejnowski (1995). The application emphasis is on speech separation. We demonstrate the robustness and power of the new techniques by blindly separating speech signals recorded in a multipath environment.
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