{"id":"https://openalex.org/W2172825445","doi":"https://doi.org/10.1109/eusipco.2015.7362440","title":"Acoustic context recognition for mobile devices using a reduced complexity SVM","display_name":"Acoustic context recognition for mobile devices using a reduced complexity SVM","publication_year":2015,"publication_date":"2015-08-01","ids":{"openalex":"https://openalex.org/W2172825445","doi":"https://doi.org/10.1109/eusipco.2015.7362440","mag":"2172825445"},"language":"en","primary_location":{"id":"doi:10.1109/eusipco.2015.7362440","is_oa":false,"landing_page_url":"https://doi.org/10.1109/eusipco.2015.7362440","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 23rd European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5028209154","display_name":"Daniele Battaglino","orcid":null},"institutions":[{"id":"https://openalex.org/I150589677","display_name":"Tampere University of Applied Sciences","ror":"https://ror.org/00bwtjf83","country_code":"FI","type":"education","lineage":["https://openalex.org/I150589677"]}],"countries":["FI"],"is_corresponding":true,"raw_author_name":"Daniele Battaglino","raw_affiliation_strings":["Department of Signal Processing Tampere, University of Technology, Tampere, Finland","NXP Software Valbonne, France"],"affiliations":[{"raw_affiliation_string":"Department of Signal Processing Tampere, University of Technology, Tampere, Finland","institution_ids":["https://openalex.org/I150589677"]},{"raw_affiliation_string":"NXP Software Valbonne, France","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079981416","display_name":"Annamaria Mesaros","orcid":"https://orcid.org/0000-0002-6640-9752"},"institutions":[{"id":"https://openalex.org/I150589677","display_name":"Tampere University of Applied Sciences","ror":"https://ror.org/00bwtjf83","country_code":"FI","type":"education","lineage":["https://openalex.org/I150589677"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Annamaria Mesaros","raw_affiliation_strings":["Department of Signal Processing Tampere, University of Technology, Tampere, Finland"],"affiliations":[{"raw_affiliation_string":"Department of Signal Processing Tampere, University of Technology, Tampere, Finland","institution_ids":["https://openalex.org/I150589677"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020952319","display_name":"Ludovick Lepauloux","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ludovick Lepauloux","raw_affiliation_strings":["NXP Software Valbonne, France"],"affiliations":[{"raw_affiliation_string":"NXP Software Valbonne, France","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051906019","display_name":"Laurent Pilati","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Laurent Pilati","raw_affiliation_strings":["NXP Software Valbonne, France"],"affiliations":[{"raw_affiliation_string":"NXP Software Valbonne, France","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066811192","display_name":"Nicholas Evans","orcid":"https://orcid.org/0000-0002-8459-1041"},"institutions":[{"id":"https://openalex.org/I1902872","display_name":"EURECOM","ror":"https://ror.org/00sse7z02","country_code":"FR","type":"education","lineage":["https://openalex.org/I1902872","https://openalex.org/I205703379"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Nicholas Evans","raw_affiliation_strings":["EURECOM Biot, France"],"affiliations":[{"raw_affiliation_string":"EURECOM Biot, France","institution_ids":["https://openalex.org/I1902872"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5028209154"],"corresponding_institution_ids":["https://openalex.org/I150589677"],"apc_list":null,"apc_paid":null,"fwci":1.158,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.79245608,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"534","last_page":"538"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7870558500289917},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7526771426200867},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.7356054782867432},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6300678253173828},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6158398985862732},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5465902090072632},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5151818990707397},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.49018722772598267},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.47383126616477966},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4644921123981476},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.0755150318145752}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7870558500289917},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7526771426200867},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7356054782867432},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6300678253173828},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6158398985862732},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5465902090072632},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5151818990707397},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.49018722772598267},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.47383126616477966},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4644921123981476},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.0755150318145752},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/eusipco.2015.7362440","is_oa":false,"landing_page_url":"https://doi.org/10.1109/eusipco.2015.7362440","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 23rd European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"},{"id":"pmh:oai:fr.eurecom:4611","is_oa":false,"landing_page_url":"http://www.eurecom.fr/publication/4611","pdf_url":null,"source":{"id":"https://openalex.org/S4377196942","display_name":"Graduate School and Research Center in Digital Science (EURECOM)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1902872","host_organization_name":"EURECOM","host_organization_lineage":["https://openalex.org/I1902872"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"EUSIPCO 2015, 23rd European Signal Processing Conference, August 31st-September 4th, 2015, Nice, France","raw_type":"Conference"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.7599999904632568,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W184442817","https://openalex.org/W2001619934","https://openalex.org/W2008415856","https://openalex.org/W2108950108","https://openalex.org/W2108950639","https://openalex.org/W2114777924","https://openalex.org/W2118344753","https://openalex.org/W2121127941","https://openalex.org/W2123189315","https://openalex.org/W2135338588","https://openalex.org/W2136824894","https://openalex.org/W2137343183","https://openalex.org/W2142579800","https://openalex.org/W2150290224","https://openalex.org/W2153635508","https://openalex.org/W2162535268","https://openalex.org/W2365655194","https://openalex.org/W2797144868","https://openalex.org/W3103385400","https://openalex.org/W4285719527","https://openalex.org/W6607466906","https://openalex.org/W6677170001","https://openalex.org/W6681236581","https://openalex.org/W6683776924","https://openalex.org/W6749963190","https://openalex.org/W6785991064"],"related_works":["https://openalex.org/W2965546495","https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W4205463238","https://openalex.org/W2761785940","https://openalex.org/W2110523656","https://openalex.org/W1482209366","https://openalex.org/W2521627374"],"abstract_inverted_index":{"Automatic":[0],"context":[1,24,42],"recognition":[2,43],"enables":[3],"mobile":[4],"devices":[5],"to":[6,8,40,55,65,72,93,106,114],"react":[7],"changes":[9],"in":[10,48,104,123,134],"the":[11,26,33,108],"environment":[12],"and":[13,36,52,127],"different":[14,18],"situations.":[15],"While":[16],"many":[17],"sensors":[19],"can":[20,99],"be":[21,101],"used":[22],"for":[23],"recognition,":[25],"use":[27],"of":[28,50,87,110,125],"acoustic":[29,41],"cues":[30],"is":[31,82],"among":[32],"most":[34],"popular":[35],"successful.":[37],"Current":[38],"approaches":[39],"(ACR)":[44],"are":[45],"too":[46],"costly":[47],"terms":[49,124],"computation":[51],"memory":[53,128],"requirements":[54],"support":[56,75,111],"an":[57],"always-listening":[58],"mode.":[59],"This":[60,118],"paper":[61],"describes":[62],"our":[63],"work":[64],"develop":[66],"a":[67,84,120],"reduced":[68],"complexity,":[69],"efficient":[70],"approach":[71],"ACR":[73],"involving":[74],"vector":[76],"machine":[77],"classifiers.":[78],"The":[79],"principal":[80],"hypothesis":[81],"that":[83],"significant":[85,121],"fraction":[86],"training":[88,97],"data":[89,98],"contains":[90],"information":[91],"redundant":[92],"classification.":[94],"Through":[95],"clustering,":[96],"thus":[100],"selectively":[102],"decimated":[103],"order":[105],"reduce":[107],"number":[109],"vectors":[112],"needed":[113],"represent":[115],"discriminative":[116],"hyperplanes.":[117],"represents":[119],"saving":[122],"computational":[126],"efficiency,":[129],"with":[130],"only":[131],"modest":[132],"degradations":[133],"classification":[135],"accuracy.":[136]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2016,"cited_by_count":2}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}