Title :
Autoregressive acoustical modelling of free field cough sound
Author :
Van Hirtum, A. ; Berckmans, D. ; Demuynck, K. ; Van Compernolle, D.
Author_Institution :
Dept. Agro-Engineering and Economics, K.U.Leuven, KasteelparkArenberg 30, 3001, Belgium
Abstract :
In this paper the performance and assumptions of linear prediction acoustical modelling are assessed on the free field cough sound. Four distinct free field cough classes originating from animal and human species in different health conditions are considered. Firstly based on the prediction signal-to-noise ratio the model order for each cough class was chosen to 14. Secondly for each cough class the vocal tract formants are estimated from the linear prediction parameters. Finally the occurrence of subglottal resonances in the cough-sound is investigated.
Keywords :
Animals; Humans; Predictive models;
Conference_Titel :
Acoustics, Speech, and Signal Processing (ICASSP), 2002 IEEE International Conference on
Conference_Location :
Orlando, FL, USA
Print_ISBN :
0-7803-7402-9
DOI :
10.1109/ICASSP.2002.5743762