Removal of Siren Mixed With Speech by Wavelet Tranform and Adaptive Notch Filter
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, resear...
Gespeichert in:
Hauptverfasser: | , , |
---|---|
Format: | Tagungsbericht |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext bestellen |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 243 |
---|---|
container_issue | |
container_start_page | 240 |
container_title | |
container_volume | |
creator | Sepehr, H. Ahmadi, M. Brennan, P. |
description | 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. |
doi_str_mv | 10.1109/HSCMA.2008.4538731 |
format | Conference Proceeding |
fullrecord | <record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_4538731</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>4538731</ieee_id><sourcerecordid>4538731</sourcerecordid><originalsourceid>FETCH-LOGICAL-i90t-497d245373c39aa0d9b4895331cf2d6be793cf46e1381066cbd92292cc2e2ab13</originalsourceid><addsrcrecordid>eNpVkMFKAzEYhCNSUOu-gF7yAq1J_mSTHEuxVmhV7EKPJZv8SyPb3bIbFvv2VuzFuQwDHwMzhDxwNuWc2aflZr6eTQVjZioVGA38imRWGy6FlALAqOt_WZsRufvFLRNGsRuS9f0XO0spA9Leko9PPLSDq2lb0U3ssKHr-I2BbmPa080R0e9peaJbN2CNiRada6q2O1DXBDoL7pjigPStTWdsEeuE3T0ZVa7uMbv4mBSL52K-nKzeX17ns9UkWpYm0uogzgs0eLDOsWBLaawC4L4SIS9RW_CVzJGD4SzPfRmsEFZ4L1C4ksOYPP7VRkTcHbt4cN1pd_kEfgDDRVGf</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Removal of Siren Mixed With Speech by Wavelet Tranform and Adaptive Notch Filter</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Sepehr, H. ; Ahmadi, M. ; Brennan, P.</creator><creatorcontrib>Sepehr, H. ; Ahmadi, M. ; Brennan, P.</creatorcontrib><description>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.</description><identifier>ISBN: 9781424423378</identifier><identifier>ISBN: 1424423376</identifier><identifier>EISBN: 9781424423385</identifier><identifier>EISBN: 1424423384</identifier><identifier>DOI: 10.1109/HSCMA.2008.4538731</identifier><identifier>LCCN: 2008902850</identifier><language>eng</language><publisher>IEEE</publisher><subject>Adaptive filters ; Land mobile radio ; Microphones ; Mobile communication ; Noise cancellation ; Signal generators ; Speech analysis ; Speech enhancement ; Switches ; Vehicles</subject><ispartof>2008 Hands-Free Speech Communication and Microphone Arrays, 2008, p.240-243</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/4538731$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,778,782,787,788,2054,27914,54909</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/4538731$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Sepehr, H.</creatorcontrib><creatorcontrib>Ahmadi, M.</creatorcontrib><creatorcontrib>Brennan, P.</creatorcontrib><title>Removal of Siren Mixed With Speech by Wavelet Tranform and Adaptive Notch Filter</title><title>2008 Hands-Free Speech Communication and Microphone Arrays</title><addtitle>HSCMA</addtitle><description>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.</description><subject>Adaptive filters</subject><subject>Land mobile radio</subject><subject>Microphones</subject><subject>Mobile communication</subject><subject>Noise cancellation</subject><subject>Signal generators</subject><subject>Speech analysis</subject><subject>Speech enhancement</subject><subject>Switches</subject><subject>Vehicles</subject><isbn>9781424423378</isbn><isbn>1424423376</isbn><isbn>9781424423385</isbn><isbn>1424423384</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2008</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpVkMFKAzEYhCNSUOu-gF7yAq1J_mSTHEuxVmhV7EKPJZv8SyPb3bIbFvv2VuzFuQwDHwMzhDxwNuWc2aflZr6eTQVjZioVGA38imRWGy6FlALAqOt_WZsRufvFLRNGsRuS9f0XO0spA9Leko9PPLSDq2lb0U3ssKHr-I2BbmPa080R0e9peaJbN2CNiRada6q2O1DXBDoL7pjigPStTWdsEeuE3T0ZVa7uMbv4mBSL52K-nKzeX17ns9UkWpYm0uogzgs0eLDOsWBLaawC4L4SIS9RW_CVzJGD4SzPfRmsEFZ4L1C4ksOYPP7VRkTcHbt4cN1pd_kEfgDDRVGf</recordid><startdate>200805</startdate><enddate>200805</enddate><creator>Sepehr, H.</creator><creator>Ahmadi, M.</creator><creator>Brennan, P.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200805</creationdate><title>Removal of Siren Mixed With Speech by Wavelet Tranform and Adaptive Notch Filter</title><author>Sepehr, H. ; Ahmadi, M. ; Brennan, P.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-497d245373c39aa0d9b4895331cf2d6be793cf46e1381066cbd92292cc2e2ab13</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2008</creationdate><topic>Adaptive filters</topic><topic>Land mobile radio</topic><topic>Microphones</topic><topic>Mobile communication</topic><topic>Noise cancellation</topic><topic>Signal generators</topic><topic>Speech analysis</topic><topic>Speech enhancement</topic><topic>Switches</topic><topic>Vehicles</topic><toplevel>online_resources</toplevel><creatorcontrib>Sepehr, H.</creatorcontrib><creatorcontrib>Ahmadi, M.</creatorcontrib><creatorcontrib>Brennan, P.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Sepehr, H.</au><au>Ahmadi, M.</au><au>Brennan, P.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Removal of Siren Mixed With Speech by Wavelet Tranform and Adaptive Notch Filter</atitle><btitle>2008 Hands-Free Speech Communication and Microphone Arrays</btitle><stitle>HSCMA</stitle><date>2008-05</date><risdate>2008</risdate><spage>240</spage><epage>243</epage><pages>240-243</pages><isbn>9781424423378</isbn><isbn>1424423376</isbn><eisbn>9781424423385</eisbn><eisbn>1424423384</eisbn><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.</abstract><pub>IEEE</pub><doi>10.1109/HSCMA.2008.4538731</doi><tpages>4</tpages></addata></record> |
fulltext | fulltext_linktorsrc |
identifier | ISBN: 9781424423378 |
ispartof | 2008 Hands-Free Speech Communication and Microphone Arrays, 2008, p.240-243 |
issn | |
language | eng |
recordid | cdi_ieee_primary_4538731 |
source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Adaptive filters Land mobile radio Microphones Mobile communication Noise cancellation Signal generators Speech analysis Speech enhancement Switches Vehicles |
title | Removal of Siren Mixed With Speech by Wavelet Tranform and Adaptive Notch Filter |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-15T07%3A52%3A39IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-ieee_6IE&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=Removal%20of%20Siren%20Mixed%20With%20Speech%20by%20Wavelet%20Tranform%20and%20Adaptive%20Notch%20Filter&rft.btitle=2008%20Hands-Free%20Speech%20Communication%20and%20Microphone%20Arrays&rft.au=Sepehr,%20H.&rft.date=2008-05&rft.spage=240&rft.epage=243&rft.pages=240-243&rft.isbn=9781424423378&rft.isbn_list=1424423376&rft_id=info:doi/10.1109/HSCMA.2008.4538731&rft_dat=%3Cieee_6IE%3E4538731%3C/ieee_6IE%3E%3Curl%3E%3C/url%3E&rft.eisbn=9781424423385&rft.eisbn_list=1424423384&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=4538731&rfr_iscdi=true |