To Separate Speech

8 years 11 months ago
To Separate Speech
The PASCAL Speech Separation Challenge (SSC) is based on a corpus of sentences from the Wall Street Journal task read by two speakers simultaneously and captured with two circular eight-channel microphone arrays. This work describes our system for the recognition of such simultaneous speech. Our system has four principal components: A person tracker returns the locations of both active speakers, as well as segmentation information for each utterance, which are often of unequal length; two beamformers in generalized sidelobe canceller (GSC) configuration separate the simultaneous speech by setting their active weight vectors according to a minimum mutual information (MMI) criterion; a postfilter and binary mask operating on the outputs of the beamformers further enhance the separated speech; and finally an automatic speech recognition (ASR) engine based on a weighted finite-state transducer (WFST) returns the most likely word hypotheses for the separated streams. In addition to opti...
John W. McDonough, Ken'ichi Kumatani, Tobias Gehri
Added 08 Jun 2010
Updated 08 Jun 2010
Type Conference
Year 2007
Where MLMI
Authors John W. McDonough, Ken'ichi Kumatani, Tobias Gehrig, Emilian Stoimenov, Uwe Mayer, Stefan Schacht, Matthias Wölfel, Dietrich Klakow
Comments (0)