TY  -  
T1  - Alternating minimisation for glottal inverse filtering 
SN  -  /  
UR  - http://hdl.handle.net/10138/195078 
T3  -  
A1  - Bleyer, Ismael Rodrigo; Lybeck, Lasse; Auvinen, Harri; Airaksinen, Manu; Alku, Paavo; Siltanen, Samuli 
A2  -  
PB  -  
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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ER  -