DocumentCode
1722352
Title
Removal of Siren Mixed With Speech by Wavelet Tranform and Adaptive Notch Filter
Author
Sepehr, Hamid ; Ahmadi, Masoud ; Brennan, Paul
Author_Institution
Dept. of Electr. Eng., UCL, London
fYear
2008
Firstpage
240
Lastpage
243
Abstract
Siren signals are used to warn other cars and pedestrians about the presence of an emergency vehicle. This signal is leaked into the communication path between the emergency vehicle and the emergency call centre and substantially degrades the intelligibility of the speech signal. In the past, research has been mainly focused on siren cancellation on the source of siren signal by using an extra microphone which requires consideration of acoustical characteristics of the emergency vehicle. The solution and approach in this paper is for attenuation of the siren in the emergency call centre without having any knowledge about the emergency vehicle, type of siren and the presence of a siren.
Keywords
acoustic signal processing; adaptive filters; microphones; notch filters; speech intelligibility; vehicles; wavelet transforms; acoustical characteristics; adaptive notch filter; emergency vehicle; microphone; siren signal; speech signal intelligibility; wavelet transform; Adaptive filters; Land mobile radio; Microphones; Mobile communication; Noise cancellation; Signal generators; Speech analysis; Speech enhancement; Switches; Vehicles;
fLanguage
English
Publisher
ieee
Conference_Titel
Hands-Free Speech Communication and Microphone Arrays, 2008. HSCMA 2008
Conference_Location
Trento
Print_ISBN
978-1-4244-2337-8
Electronic_ISBN
978-1-4244-2338-5
Type
conf
DOI
10.1109/HSCMA.2008.4538731
Filename
4538731
Link To Document