Browsing by Keywords "Speech"
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(IEEE, 2008-03-04)In this paper, we consider online seperation and detection of superimposed events by applying particle filtering. We concentrate on a model where a background process, represented by a 1D-signal, is superimposed by an ...
(Institute of Electrical and Electronics Engineers Inc., 2016)In this paper, we propose a new statistical enhancement system for throat microphone recordings through source and filter separation. Throat microphones (TM) are skin-attached piezoelectric sensors that can capture speech ...