{"id":"https://openalex.org/W2075767990","doi":"https://doi.org/10.1109/tce.2012.6311334","title":"Efficient implementation of an SVM-based speech/music classifier by enhancing temporal locality in support vector references","display_name":"Efficient implementation of an SVM-based speech/music classifier by enhancing temporal locality in support vector references","publication_year":2012,"publication_date":"2012-08-01","ids":{"openalex":"https://openalex.org/W2075767990","doi":"https://doi.org/10.1109/tce.2012.6311334","mag":"2075767990"},"language":"en","primary_location":{"id":"doi:10.1109/tce.2012.6311334","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tce.2012.6311334","pdf_url":null,"source":{"id":"https://openalex.org/S126824455","display_name":"IEEE Transactions on Consumer Electronics","issn_l":"0098-3063","issn":["0098-3063","1558-4127"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Consumer Electronics","raw_type":"journal-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/A5113697613","display_name":"Chungsoo Lim","orcid":null},"institutions":[{"id":"https://openalex.org/I11893660","display_name":"Mokpo National University","ror":"https://ror.org/00v81k483","country_code":"KR","type":"education","lineage":["https://openalex.org/I11893660"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Chungsoo Lim","raw_affiliation_strings":["Mokpo National University, Mokpo, South Korea","Mokpo National University, Mokpo, South Korea#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mokpo National University, Mokpo, South Korea","institution_ids":["https://openalex.org/I11893660"]},{"raw_affiliation_string":"Mokpo National University, Mokpo, South Korea#TAB#","institution_ids":["https://openalex.org/I11893660"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045658652","display_name":"Seong-Ro Lee","orcid":"https://orcid.org/0009-0007-6354-6018"},"institutions":[{"id":"https://openalex.org/I11893660","display_name":"Mokpo National University","ror":"https://ror.org/00v81k483","country_code":"KR","type":"education","lineage":["https://openalex.org/I11893660"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seong-Ro Lee","raw_affiliation_strings":["Mokpo National University, Mokpo, South Korea","Mokpo National University, Mokpo, South Korea#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mokpo National University, Mokpo, South Korea","institution_ids":["https://openalex.org/I11893660"]},{"raw_affiliation_string":"Mokpo National University, Mokpo, South Korea#TAB#","institution_ids":["https://openalex.org/I11893660"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002418613","display_name":"Joon\u2010Hyuk Chang","orcid":"https://orcid.org/0000-0003-2610-2323"},"institutions":[{"id":"https://openalex.org/I4575257","display_name":"Hanyang University","ror":"https://ror.org/046865y68","country_code":"KR","type":"education","lineage":["https://openalex.org/I4575257"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Joon-Hyuk Chang","raw_affiliation_strings":["Hanyang University, Seoul, South Korea","Hanyang University Seoul, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hanyang University, Seoul, South Korea","institution_ids":["https://openalex.org/I4575257"]},{"raw_affiliation_string":"Hanyang University Seoul, South Korea","institution_ids":["https://openalex.org/I4575257"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7431,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.7448302,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"58","issue":"3","first_page":"898","last_page":"904"},"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":0.9994000196456909,"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":0.9970999956130981,"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/support-vector-machine","display_name":"Support vector machine","score":0.7918869256973267},{"id":"https://openalex.org/keywords/locality","display_name":"Locality","score":0.6610819101333618},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6473707556724548},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6375027894973755},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5362004637718201},{"id":"https://openalex.org/keywords/speech-processing","display_name":"Speech processing","score":0.463161826133728},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46048009395599365},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39976611733436584}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7918869256973267},{"id":"https://openalex.org/C2779808786","wikidata":"https://www.wikidata.org/wiki/Q6664603","display_name":"Locality","level":2,"score":0.6610819101333618},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6473707556724548},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6375027894973755},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5362004637718201},{"id":"https://openalex.org/C61328038","wikidata":"https://www.wikidata.org/wiki/Q3358061","display_name":"Speech processing","level":2,"score":0.463161826133728},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46048009395599365},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39976611733436584},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tce.2012.6311334","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tce.2012.6311334","pdf_url":null,"source":{"id":"https://openalex.org/S126824455","display_name":"IEEE Transactions on Consumer Electronics","issn_l":"0098-3063","issn":["0098-3063","1558-4127"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Consumer Electronics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8799999952316284,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W26816478","https://openalex.org/W1494930385","https://openalex.org/W1555915743","https://openalex.org/W1954619842","https://openalex.org/W1964726488","https://openalex.org/W2017444753","https://openalex.org/W2046134527","https://openalex.org/W2105714535","https://openalex.org/W2107495852","https://openalex.org/W2112496789","https://openalex.org/W2121127941","https://openalex.org/W2121298420","https://openalex.org/W2128838222","https://openalex.org/W2130757222","https://openalex.org/W2136892347","https://openalex.org/W2149298154","https://openalex.org/W2151305614","https://openalex.org/W2153479931","https://openalex.org/W2165525622","https://openalex.org/W2169554924","https://openalex.org/W2541212214","https://openalex.org/W3150877489","https://openalex.org/W6601080436","https://openalex.org/W6641063025","https://openalex.org/W6657567920"],"related_works":["https://openalex.org/W2981428355","https://openalex.org/W1834994814","https://openalex.org/W2041273198","https://openalex.org/W1599055764","https://openalex.org/W2131711534","https://openalex.org/W2149163000","https://openalex.org/W2962858469","https://openalex.org/W2289873871","https://openalex.org/W2559040841","https://openalex.org/W114661351"],"abstract_inverted_index":{"Speech/music":[0],"classification":[1,45],"is":[2,95,186],"an":[3,52,100],"integral":[4],"part":[5],"of":[6,92,192],"various":[7],"consumer":[8],"electronics":[9],"applications":[10],"such":[11],"as":[12,38],"audio":[13],"codecs,":[14],"multimedia":[15],"document":[16],"indexing,":[17],"and":[18,79,89,150,165,183,198],"automatic":[19],"speech":[20,181],"recognition.":[21],"To":[22],"achieve":[23],"high":[24,73,98],"performance":[25],"at":[26],"speech/music":[27,54],"classification,":[28],"a":[29,39,180],"support":[30,93,128,144],"vector":[31,129,145],"machine":[32],"(SVM)":[33],"has":[34],"been":[35],"widely":[36],"used":[37],"classifier":[40,55],"due":[41,76],"to":[42,50,70,77,104,118,157,179],"its":[43],"decent":[44],"capability.":[46],"However,":[47],"in":[48,56,107,127,143],"order":[49],"use":[51],"SVM-based":[53],"embedded":[57,101],"systems,":[58,64],"which":[59],"gradually":[60],"replace":[61],"desktop":[62],"computer":[63],"one":[65],"significant":[66],"implementation":[67,74],"problem":[68],"needs":[69],"be":[71],"resolved:":[72],"cost":[75],"time":[78],"energy":[80,199],"inefficiency.":[81],"The":[82,171],"memory":[83,109,121,135,193],"requirement":[84],"determined":[85],"by":[86,123,176,188],"the":[87,90,141,159,184,190],"dimensionality":[88],"number":[91,191],"vectors,":[94],"generally":[96],"too":[97],"for":[99],"systems":[102],"cache":[103,166],"accommodate":[105],"resulting":[106],"expensive":[108,120],"accesses.":[110],"In":[111],"this":[112],"paper,":[113],"two":[114],"techniques":[115,154,173],"are":[116,147,155,174],"proposed":[117,156,172],"reduce":[119],"accesses":[122],"enhancing":[124],"temporal":[125,160],"locality":[126,161],"references":[130,146],"utilizing":[131],"fetched":[132],"data":[133],"from":[134],"with":[136],"great":[137],"efficiency.":[138],"For":[139],"this,":[140],"patterns":[142],"first":[148],"analyzed,":[149],"then":[151],"loop":[152],"transformation":[153],"improve":[158],"that":[162],"register":[163],"file":[164],"hierarchy":[167],"take":[168],"advantage":[169],"of.":[170],"evaluated":[175],"applying":[177],"them":[178],"codec,":[182],"enhancement":[185],"confirmed":[187],"measuring":[189],"accesses,":[194],"overall":[195],"execution":[196],"time,":[197],"consumption.":[200]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}