DocumentCode :
337006
Title :
Cancellation of siren noise from two way voice communications inside emergency vehicles
Author :
Sherratt, R.S. ; Townsend, D.M. ; Guy, C.G.
Author_Institution :
Sch. of Comput. Sci., Reading Univ., UK
Volume :
4
fYear :
1999
fDate :
15-19 Mar 1999
Firstpage :
2395
Abstract :
Sirens´ used by police, fire and paramedic vehicles have been designed so that they can be heard over large distances, but unfortunately the siren noise enters the vehicle and corrupts intelligibility of voice communications from the emergency vehicle to the control room. Often the siren needs to be turned off to enable the control room to hear what is being said. This paper discusses a siren noise filter system that is capable of removing the siren noise picked up by the two-way radio microphone inside the vehicle. The removal of the siren noise improves the response time for emergency vehicles and thus save lives. To date, the system has been trialed within a fire tender in a non-emergency situation, with good results
Keywords :
acoustic signal processing; adaptive filters; adaptive signal processing; emergency services; filtering theory; microphones; noise abatement; prediction theory; road vehicles; speech intelligibility; voice communication; DSP; adaptive linear prediction filter; control room; emergency vehicles; fire vehicles; paramedic vehicles; police vehicles; response time; siren noise cancellation; siren noise filter system; speech intelligibility; two way voice communications; two-way radio microphone; Communication system control; Communication system traffic control; Computer science; Fires; Frequency; Microphones; Noise cancellation; Power harmonic filters; Road vehicles; Speech enhancement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1999. Proceedings., 1999 IEEE International Conference on
Conference_Location :
Phoenix, AZ
ISSN :
1520-6149
Print_ISBN :
0-7803-5041-3
Type :
conf
DOI :
10.1109/ICASSP.1999.758421
Filename :
758421
Link To Document :
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