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Autoregressive acoustical modelling of free field cough sound

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4 Author(s)
Van Hirtum, A. ; Dept. Agro-Engineering and Economics, K.U.Leuven, KasteelparkArenberg 30, 3001, Belgium ; Berckmans, D. ; Demuynck, K. ; Van Compernolle, D.

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.

Published in:
Acoustics, Speech, and Signal Processing (ICASSP), 2002 IEEE International Conference on  (Volume:1 )

Date of Conference: 13-17 May 2002

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