Audio Events Detection in Public Transport Vehicle
This paper addresses the problem of automatic audio analysis for aided surveillance application in public transport. The aim of such application is to detect critical situations and to warn the control room. We propose a comparative study of two methods of modelisation/classification of acoustical s...
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| creator | Rouas, J.-L. Louradour, J. Ambellouis, S. |
| description | This paper addresses the problem of automatic audio analysis for aided surveillance application in public transport. The aim of such application is to detect critical situations and to warn the control room. We propose a comparative study of two methods of modelisation/classification of acoustical segments. The problem is quite similar to the 'audio indexing' framework, nevertheless the environment here is very noisy. We present two general frameworks based on Gaussian model mixture (GMM) and support vector machine (SVM) to achieve shout detection in railway embedded environment |
| doi_str_mv | 10.1109/ITSC.2006.1706829 |
| format | Conference Proceeding |
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The aim of such application is to detect critical situations and to warn the control room. We propose a comparative study of two methods of modelisation/classification of acoustical segments. The problem is quite similar to the 'audio indexing' framework, nevertheless the environment here is very noisy. We present two general frameworks based on Gaussian model mixture (GMM) and support vector machine (SVM) to achieve shout detection in railway embedded environment</description><subject>Acoustic signal detection</subject><subject>Automatic control</subject><subject>Event detection</subject><subject>Indexing</subject><subject>Rail transportation</subject><subject>Support vector machine classification</subject><subject>Support vector machines</subject><subject>Surveillance</subject><subject>Vehicles</subject><subject>Working environment noise</subject><issn>2153-0009</issn><issn>2153-0017</issn><isbn>1424400937</isbn><isbn>9781424400935</isbn><isbn>1424400945</isbn><isbn>9781424400942</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2006</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpFj91Kw0AQRtc_sNY-gHizL5A4szu7k70ssWqhoGD0tmySDa7EpCSp4NsrWPTqfHDggyPEFUKKCO5mXTznqQKwKTLYTLkjcYGkiAAcmWMxU2h0AoB88i80n_4JcOdiMY7vPwvIkEYzE2q5r2MvV5-hm0Z5G6ZQTbHvZOzk075sYyWLwXfjrh8m-RreYtWGS3HW-HYMiwPn4uVuVeQPyebxfp0vN0mFGbpEKWt0CeQyYqhKJqMyy1zXzrLzFj0YBE_KQOOamozm2lLJGaNDZnZ6Lq5_f2MIYbsb4ocfvraHdv0NenhFew</recordid><startdate>2006</startdate><enddate>2006</enddate><creator>Rouas, J.-L.</creator><creator>Louradour, J.</creator><creator>Ambellouis, S.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>2006</creationdate><title>Audio Events Detection in Public Transport Vehicle</title><author>Rouas, J.-L. ; Louradour, J. ; Ambellouis, S.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c1819-22653b0498470cb74528677dd9679a61a0510a4250f9fd4537d64b78719177793</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2006</creationdate><topic>Acoustic signal detection</topic><topic>Automatic control</topic><topic>Event detection</topic><topic>Indexing</topic><topic>Rail transportation</topic><topic>Support vector machine classification</topic><topic>Support vector machines</topic><topic>Surveillance</topic><topic>Vehicles</topic><topic>Working environment noise</topic><toplevel>online_resources</toplevel><creatorcontrib>Rouas, J.-L.</creatorcontrib><creatorcontrib>Louradour, J.</creatorcontrib><creatorcontrib>Ambellouis, S.</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>Rouas, J.-L.</au><au>Louradour, J.</au><au>Ambellouis, S.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Audio Events Detection in Public Transport Vehicle</atitle><btitle>2006 IEEE Intelligent Transportation Systems Conference</btitle><stitle>ITSC</stitle><date>2006</date><risdate>2006</risdate><spage>733</spage><epage>738</epage><pages>733-738</pages><issn>2153-0009</issn><eissn>2153-0017</eissn><isbn>1424400937</isbn><isbn>9781424400935</isbn><eisbn>1424400945</eisbn><eisbn>9781424400942</eisbn><abstract>This paper addresses the problem of automatic audio analysis for aided surveillance application in public transport. The aim of such application is to detect critical situations and to warn the control room. We propose a comparative study of two methods of modelisation/classification of acoustical segments. The problem is quite similar to the 'audio indexing' framework, nevertheless the environment here is very noisy. We present two general frameworks based on Gaussian model mixture (GMM) and support vector machine (SVM) to achieve shout detection in railway embedded environment</abstract><pub>IEEE</pub><doi>10.1109/ITSC.2006.1706829</doi><tpages>6</tpages><oa>free_for_read</oa></addata></record> |
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| identifier | ISSN: 2153-0009 |
| ispartof | 2006 IEEE Intelligent Transportation Systems Conference, 2006, p.733-738 |
| issn | 2153-0009 2153-0017 |
| language | eng |
| recordid | cdi_ieee_primary_1706829 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Acoustic signal detection Automatic control Event detection Indexing Rail transportation Support vector machine classification Support vector machines Surveillance Vehicles Working environment noise |
| title | Audio Events Detection in Public Transport Vehicle |
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