Speech activity detection and enhancement of a moving speaker based on the wideband generalized likelihood ratio and microphone arrays.
The subject of this work is a unifying treatment of estimating the Direction of Arrival (DOA), detecting speech activity and suppressing noise in the case of a moving speaker by using a linear microphone array. The approach is based on the generalized likelihood ratio test applied to the framework of far-field, wideband moving sources (W-GLRT). It is shown that under certain distributional assumptions the W-GLRT provides a framework for the evaluation of DOA measurements against spurious DOAs, probabilistic speech activity detection as well as speech enhancement. As regards speech enhancement, we demonstrate the direct connection of W-GLRT with enhancement based on subspace methods. In addition, through the concept of directive a priori SNR we demonstrate its indirect connection with Minimum Mean Square Error spectral (MMSE_SA) and log-spectral gain modification (MMSE_LSA). The efficiency of the approach is illustrated on a moving speaker when either additive white Gaussian or babble noise is present in the acoustical field at very low SNRs.
Potamitis
Ilyas
I
Wire Communications Laboratory, Electrical and Computer Engineering Department, University of Patras, Sofocleous-Adiparou 1, 265 00 Rion, Patras, Greece. potamitis@wcl.ee.upatras.gr
Fishler
Eran
E
D000465:Algorithms; D003198:Computer Simulation; D004867:Equipment Design; D006801:Humans; D016013:Likelihood Functions; D009622:Noise / Q000009:adverse effects*; D016011:Normal Distribution; D013067:Speech Perception / Q000502:physiology*