{"id":"https://openalex.org/W2166397230","doi":"https://doi.org/10.1109/perser.2007.4283894","title":"Use of Novel Feature Extraction Technique with Subspace Classifiers for Speech Recognition","display_name":"Use of Novel Feature Extraction Technique with Subspace Classifiers for Speech Recognition","publication_year":2007,"publication_date":"2007-07-01","ids":{"openalex":"https://openalex.org/W2166397230","doi":"https://doi.org/10.1109/perser.2007.4283894","mag":"2166397230"},"language":"en","primary_location":{"id":"doi:10.1109/perser.2007.4283894","is_oa":false,"landing_page_url":"https://doi.org/10.1109/perser.2007.4283894","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE International Conference on Pervasive Services","raw_type":"proceedings-article"},"type":"conference-paper","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/A5003391938","display_name":"Serkan G\u00fcnal","orcid":"https://orcid.org/0000-0002-9691-1575"},"institutions":[{"id":"https://openalex.org/I133743585","display_name":"Anadolu University","ror":"https://ror.org/05nz37n09","country_code":"TR","type":"education","lineage":["https://openalex.org/I133743585"]},{"id":"https://openalex.org/I4210091745","display_name":"Eski\u015fehir City Hospital","ror":"https://ror.org/00czdkn85","country_code":"TR","type":"healthcare","lineage":["https://openalex.org/I1303077703","https://openalex.org/I4210091745"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Serkan Gunal","raw_affiliation_strings":["Department of Computer Engineering, Anadolu University, Eskisehir, Turkiye"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Anadolu University, Eskisehir, Turkiye","institution_ids":["https://openalex.org/I133743585","https://openalex.org/I4210091745"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078177427","display_name":"Rifat Edizkan","orcid":"https://orcid.org/0000-0002-5125-5631"},"institutions":[{"id":"https://openalex.org/I51209816","display_name":"Eski\u015fehir Osmangazi University","ror":"https://ror.org/01dzjez04","country_code":"TR","type":"education","lineage":["https://openalex.org/I51209816"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Rifat Edizkan","raw_affiliation_strings":["Department of Electrical and Electronics Engineering, Eskisehir Osmangazi University, Eskisehir, Turkiye"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronics Engineering, Eskisehir Osmangazi University, Eskisehir, Turkiye","institution_ids":["https://openalex.org/I51209816"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6686,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.69725152,"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":"80","last_page":"83"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9972000122070312,"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"}},"topics":[{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9972000122070312,"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"}},{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9951000213623047,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9595000147819519,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7891883254051208},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.7451611757278442},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6917092800140381},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.671116828918457},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.662131130695343},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.6011449694633484},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5804723501205444},{"id":"https://openalex.org/keywords/random-subspace-method","display_name":"Random subspace method","score":0.526906430721283},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.4714459180831909},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4558407962322235},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.4188554584980011},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.3827797770500183}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7891883254051208},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.7451611757278442},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6917092800140381},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.671116828918457},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.662131130695343},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.6011449694633484},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5804723501205444},{"id":"https://openalex.org/C106135958","wikidata":"https://www.wikidata.org/wiki/Q7291993","display_name":"Random subspace method","level":3,"score":0.526906430721283},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.4714459180831909},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4558407962322235},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.4188554584980011},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.3827797770500183}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/perser.2007.4283894","is_oa":false,"landing_page_url":"https://doi.org/10.1109/perser.2007.4283894","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE International Conference on Pervasive Services","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1514458971","https://openalex.org/W1560013842","https://openalex.org/W1564660545","https://openalex.org/W1590729858","https://openalex.org/W2033169422","https://openalex.org/W2100616526","https://openalex.org/W2115755118","https://openalex.org/W2130491779","https://openalex.org/W2148154194","https://openalex.org/W2154826081","https://openalex.org/W2187968218","https://openalex.org/W4285719527","https://openalex.org/W6630809993","https://openalex.org/W6635196203","https://openalex.org/W6687218524"],"related_works":["https://openalex.org/W2007593166","https://openalex.org/W2143234973","https://openalex.org/W1603777065","https://openalex.org/W2397292208","https://openalex.org/W4221136059","https://openalex.org/W1548677759","https://openalex.org/W109131529","https://openalex.org/W2595439317","https://openalex.org/W2102147763","https://openalex.org/W1503513760"],"abstract_inverted_index":{"Speech":[0],"recognition":[1,21,38,74,106,128],"is":[2,58,95],"one":[3],"of":[4,19,24,41,101],"the":[5,25,30,99,113,120],"fast":[6],"moving":[7],"research":[8],"areas":[9],"in":[10,39],"pervasive":[11],"services":[12],"requiring":[13],"human":[14],"interaction.":[15],"Like":[16],"any":[17],"type":[18],"pattern":[20],"system,":[22],"selection":[23],"feature":[26,52,61,115],"extraction":[27,53,116],"method":[28,54,117],"and":[29,43,88,122],"classifier":[31],"play":[32],"a":[33],"crucial":[34],"role":[35],"for":[36,55,73],"speech":[37,56],"terms":[40],"accuracy":[42],"speed.":[44],"In":[45],"this":[46],"paper,":[47],"an":[48],"efficient":[49],"wavelet":[50],"based":[51],"data":[57],"presented.":[59],"The":[60],"vectors":[62],"are":[63,78],"then":[64],"fed":[65],"into":[66],"three":[67],"widely":[68],"used":[69,96],"linear":[70],"subspace":[71],"classifiers":[72,77,124],"analysis.":[75],"These":[76],"Class":[79],"Featuring":[80],"Information":[81],"Compression":[82],"(CLAFIC),":[83],"Multiple":[84],"Similarity":[85],"Method":[86],"(MSM)":[87],"Common":[89],"Vector":[90],"Approach":[91],"(CVA).":[92],"TI-DIGIT":[93],"database":[94],"to":[97],"evaluate":[98],"performance":[100],"speaker":[102],"independent":[103],"isolated":[104],"word":[105],"system":[107],"designed.":[108],"Experimental":[109],"results":[110],"indicate":[111],"that":[112],"proposed":[114],"together":[118],"with":[119],"CLAFIC":[121],"CVA":[123],"give":[125],"considerably":[126],"high":[127],"rates.":[129]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":2}],"updated_date":"2026-08-12T21:12:35.861297","created_date":"2025-10-10T00:00:00"}