Voice analysis in adverse conditions: the Centennial Olympic Park Bombing 911 call

Author

Pellom, Bryan L. ; Hansen, John H L

Author_Institution

Robust Speech Processing Lab., Duke Univ., Durham, NC, USA

Volume

2

fYear

1997

fDate

3-6 Aug 1997

Firstpage

873

Abstract

This study, considers an analysis of the 1996 Centennial Olympic Park Bombing 911 phone call with respect to several speech processing issues. First, since background noise is present in the recording, five previously formulated speech enhancement algorithms are compared for quality improvement. Some of these include: nonlinear spectral subtraction, MMSE filtering, and auto-LSP constrained iterative Wiener filtering. Afterwards, the problem of automatic speaker height estimation from voice data is considered. Finally, the implications that such an analysis could have on extracting further information from the 911 call are discussed

Keywords

Wiener filters; approximation theory; iterative methods; spectral analysis; speech enhancement; telephony; 911 call; Centennial Olympic Park Bombing; MMSE filtering; adverse conditions; auto-LSP constrained iterative Wiener filtering; automatic speaker height estimation; background noise; nonlinear spectral subtraction; speech enhancement algorithms; speech processing issues; voice analysis; voice data; Acoustic distortion; Acoustic noise; Additive noise; Degradation; Speech analysis; Speech enhancement; Speech processing; Telephony; Weapons; Wiener filter;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 1997. Proceedings of the 40th Midwest Symposium on

Conference_Location

Sacramento, CA

Print_ISBN

0-7803-3694-1

Type

conf

DOI

10.1109/MWSCAS.1997.662213

Filename

662213