Environment sound recognition using zero crossing features and MPEG-7

In this paper, we perform several experiments focusing on the problems of environment recognition from audio particularly for forensic application. We investigated the effect of temporal zero crossing feature and some selected MPEG-7 audio low level descriptors on environment sound recognition. The...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	AlQahtani, M O, Muhammad, G, Alotaibi, Y A
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Integrated circuits Multimedia communication Speech Support vector machines Training Transform coding
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

container_end_page	506
container_issue
container_start_page	502
container_title
container_volume
creator	AlQahtani, M O Muhammad, G Alotaibi, Y A
description	In this paper, we perform several experiments focusing on the problems of environment recognition from audio particularly for forensic application. We investigated the effect of temporal zero crossing feature and some selected MPEG-7 audio low level descriptors on environment sound recognition. The performance is evaluated against varying number of training sounds and samples per each training file. Experimental results show that higher recognition accuracy is achieved by increasing the number of training files and by decreasing the number of samples per training file.
doi_str_mv	10.1109/ICDIM.2010.5664645
format	Conference Proceeding
fullrecord	<record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_5664645</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>5664645</ieee_id><sourcerecordid>5664645</sourcerecordid><originalsourceid>FETCH-LOGICAL-i90t-e281b34ff11cf2aee8226b6a52652eb84b6de80eff008a4d8a490fb0a8244de13</originalsourceid><addsrcrecordid>eNo1j19LwzAUxSMyULd-AX3JF-hM0vx9lFpnYUMf9j7S9mZEXCJJK-int-g8cDj84HC5B6FbStaUEnPf1o_tbs3IzEJKLrm4QDeUM86VUFReosIo_c9MX6Ei5zcySzBVmeoaNU349CmGE4QR5ziFASfo4zH40ceAp-zDEX9DirhPMf-SAztOCTK2c3n32mxKtUILZ98zFOdcov1Ts6-fy-3Lpq0ftqU3ZCyBadpV3DlKe8csgGZMdtIKJgWDTvNODqAJOEeItnyYbYjriNXz_wPQaonu_s56ADh8JH-y6etwHl79ALohTLE</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Environment sound recognition using zero crossing features and MPEG-7</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>AlQahtani, M O ; Muhammad, G ; Alotaibi, Y A</creator><creatorcontrib>AlQahtani, M O ; Muhammad, G ; Alotaibi, Y A</creatorcontrib><description>In this paper, we perform several experiments focusing on the problems of environment recognition from audio particularly for forensic application. We investigated the effect of temporal zero crossing feature and some selected MPEG-7 audio low level descriptors on environment sound recognition. The performance is evaluated against varying number of training sounds and samples per each training file. Experimental results show that higher recognition accuracy is achieved by increasing the number of training files and by decreasing the number of samples per training file.</description><identifier>ISBN: 9781424475728</identifier><identifier>ISBN: 1424475724</identifier><identifier>EISBN: 1424475716</identifier><identifier>EISBN: 9781424475735</identifier><identifier>EISBN: 9781424475711</identifier><identifier>EISBN: 1424475732</identifier><identifier>DOI: 10.1109/ICDIM.2010.5664645</identifier><language>eng</language><publisher>IEEE</publisher><subject>Integrated circuits ; Multimedia communication ; Speech ; Support vector machines ; Training ; Transform coding</subject><ispartof>2010 Fifth International Conference on Digital Information Management (ICDIM), 2010, p.502-506</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/5664645$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2058,27925,54920</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/5664645$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>AlQahtani, M O</creatorcontrib><creatorcontrib>Muhammad, G</creatorcontrib><creatorcontrib>Alotaibi, Y A</creatorcontrib><title>Environment sound recognition using zero crossing features and MPEG-7</title><title>2010 Fifth International Conference on Digital Information Management (ICDIM)</title><addtitle>ICDIM</addtitle><description>In this paper, we perform several experiments focusing on the problems of environment recognition from audio particularly for forensic application. We investigated the effect of temporal zero crossing feature and some selected MPEG-7 audio low level descriptors on environment sound recognition. The performance is evaluated against varying number of training sounds and samples per each training file. Experimental results show that higher recognition accuracy is achieved by increasing the number of training files and by decreasing the number of samples per training file.</description><subject>Integrated circuits</subject><subject>Multimedia communication</subject><subject>Speech</subject><subject>Support vector machines</subject><subject>Training</subject><subject>Transform coding</subject><isbn>9781424475728</isbn><isbn>1424475724</isbn><isbn>1424475716</isbn><isbn>9781424475735</isbn><isbn>9781424475711</isbn><isbn>1424475732</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2010</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo1j19LwzAUxSMyULd-AX3JF-hM0vx9lFpnYUMf9j7S9mZEXCJJK-int-g8cDj84HC5B6FbStaUEnPf1o_tbs3IzEJKLrm4QDeUM86VUFReosIo_c9MX6Ei5zcySzBVmeoaNU349CmGE4QR5ziFASfo4zH40ceAp-zDEX9DirhPMf-SAztOCTK2c3n32mxKtUILZ98zFOdcov1Ts6-fy-3Lpq0ftqU3ZCyBadpV3DlKe8csgGZMdtIKJgWDTvNODqAJOEeItnyYbYjriNXz_wPQaonu_s56ADh8JH-y6etwHl79ALohTLE</recordid><startdate>201007</startdate><enddate>201007</enddate><creator>AlQahtani, M O</creator><creator>Muhammad, G</creator><creator>Alotaibi, Y A</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201007</creationdate><title>Environment sound recognition using zero crossing features and MPEG-7</title><author>AlQahtani, M O ; Muhammad, G ; Alotaibi, Y A</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-e281b34ff11cf2aee8226b6a52652eb84b6de80eff008a4d8a490fb0a8244de13</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Integrated circuits</topic><topic>Multimedia communication</topic><topic>Speech</topic><topic>Support vector machines</topic><topic>Training</topic><topic>Transform coding</topic><toplevel>online_resources</toplevel><creatorcontrib>AlQahtani, M O</creatorcontrib><creatorcontrib>Muhammad, G</creatorcontrib><creatorcontrib>Alotaibi, Y A</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>AlQahtani, M O</au><au>Muhammad, G</au><au>Alotaibi, Y A</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Environment sound recognition using zero crossing features and MPEG-7</atitle><btitle>2010 Fifth International Conference on Digital Information Management (ICDIM)</btitle><stitle>ICDIM</stitle><date>2010-07</date><risdate>2010</risdate><spage>502</spage><epage>506</epage><pages>502-506</pages><isbn>9781424475728</isbn><isbn>1424475724</isbn><eisbn>1424475716</eisbn><eisbn>9781424475735</eisbn><eisbn>9781424475711</eisbn><eisbn>1424475732</eisbn><abstract>In this paper, we perform several experiments focusing on the problems of environment recognition from audio particularly for forensic application. We investigated the effect of temporal zero crossing feature and some selected MPEG-7 audio low level descriptors on environment sound recognition. The performance is evaluated against varying number of training sounds and samples per each training file. Experimental results show that higher recognition accuracy is achieved by increasing the number of training files and by decreasing the number of samples per training file.</abstract><pub>IEEE</pub><doi>10.1109/ICDIM.2010.5664645</doi><tpages>5</tpages></addata></record>
fulltext	fulltext_linktorsrc
identifier	ISBN: 9781424475728
ispartof	2010 Fifth International Conference on Digital Information Management (ICDIM), 2010, p.502-506
issn
language	eng
recordid	cdi_ieee_primary_5664645
source	IEEE Electronic Library (IEL) Conference Proceedings
subjects	Integrated circuits Multimedia communication Speech Support vector machines Training Transform coding
title	Environment sound recognition using zero crossing features and MPEG-7
url	https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-02T04%3A49%3A06IST&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=Environment%20sound%20recognition%20using%20zero%20crossing%20features%20and%20MPEG-7&rft.btitle=2010%20Fifth%20International%20Conference%20on%20Digital%20Information%20Management%20(ICDIM)&rft.au=AlQahtani,%20M%20O&rft.date=2010-07&rft.spage=502&rft.epage=506&rft.pages=502-506&rft.isbn=9781424475728&rft.isbn_list=1424475724&rft_id=info:doi/10.1109/ICDIM.2010.5664645&rft_dat=%3Cieee_6IE%3E5664645%3C/ieee_6IE%3E%3Curl%3E%3C/url%3E&rft.eisbn=1424475716&rft.eisbn_list=9781424475735&rft.eisbn_list=9781424475711&rft.eisbn_list=1424475732&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=5664645&rfr_iscdi=true