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T1 - Alternating minimisation for glottal inverse filtering
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UR - http://hdl.handle.net/10138/195078
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A1 - Bleyer, Ismael Rodrigo; Lybeck, Lasse; Auvinen, Harri; Airaksinen, Manu; Alku, Paavo; Siltanen, Samuli
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Y1 - 2017
LA - eng
AB - A new method is proposed for solving the glottal inverse filtering (GIF) problem. The goal of GIF is to separate an acoustical speech signal into two parts: the glottal airflow excitation and the vocal tract filter. To recover such information one has to deal with a blind deconvolution problem. This ill-posed inverse problem is solved under a deterministic setting, considering unknowns on both sides of the underlying operator equation. A stable reconstruction is obtained using a double regulariz...
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KW - ill-posed problems; glottal inverse filtering; double regularisation; alternating minimisation; glottal airflow; wavelets; deterministic; VOICE GENERATION PROBLEM; VOCAL-TRACT; SCATTERING; SHAPE; REGULARIZATION; QUALITY; MODEL; 111 Mathematics; 114 Physical sciences
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