{"id":"https://openalex.org/W2165669526","doi":"https://doi.org/10.1109/ictai.2007.49","title":"A New Feature Transformation Method Based on Rotation for Speaker Identification","display_name":"A New Feature Transformation Method Based on Rotation for Speaker Identification","publication_year":2007,"publication_date":"2007-10-01","ids":{"openalex":"https://openalex.org/W2165669526","doi":"https://doi.org/10.1109/ictai.2007.49","mag":"2165669526"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/ictai.2007.49","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5100332530","display_name":"Minseok Kim","orcid":"https://orcid.org/0000-0003-1675-8003"},"institutions":[{"id":"https://openalex.org/I124633538","display_name":"University of Seoul","ror":"https://ror.org/05en5nh73","country_code":"KR","type":"education","lineage":["https://openalex.org/I124633538"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Min-Seok Kim","raw_affiliation_strings":["School of Computer Science, University of Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, University of Seoul, South Korea","institution_ids":["https://openalex.org/I124633538"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030475312","display_name":"Ha-Jin Yu","orcid":"https://orcid.org/0000-0003-3657-0665"},"institutions":[{"id":"https://openalex.org/I124633538","display_name":"University of Seoul","ror":"https://ror.org/05en5nh73","country_code":"KR","type":"education","lineage":["https://openalex.org/I124633538"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Ha-Jin Yu","raw_affiliation_strings":["School of Computer Science, University of Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, University of Seoul, South Korea","institution_ids":["https://openalex.org/I124633538"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.201,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":238,"citation_normalized_percentile":{"value":0.956462,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"68","last_page":"73"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition Technology","score":0.9648,"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 Technology","score":0.9648,"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/T11901","display_name":"Model-Based Clustering with Mixture Models","score":0.9218,"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/T10057","display_name":"Face Recognition and Dimensionality Reduction Techniques","score":0.9138,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/speaker-verification","display_name":"Speaker Verification","score":0.582258},{"id":"https://openalex.org/keywords/acoustic-modeling","display_name":"Acoustic Modeling","score":0.577977},{"id":"https://openalex.org/keywords/speaker-diarization","display_name":"Speaker Diarization","score":0.569403},{"id":"https://openalex.org/keywords/audio-visual-speech-recognition","display_name":"Audio-Visual Speech Recognition","score":0.559411},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise Reduction","score":0.550078},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.53196996},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.49490708}],"concepts":[{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.68641233},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.61139715},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6030094},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5539417},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.53196996},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.49490708},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.49490398},{"id":"https://openalex.org/C74050887","wikidata":"https://www.wikidata.org/wiki/Q848368","display_name":"Rotation (mathematics)","level":2,"score":0.48870897},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.46056136},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.45205185},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.43629435},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.42773634},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.42124024},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.4182302},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4175542},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33494288},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3209046},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.18872926},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/ictai.2007.49","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.72,"display_name":"Reduced inequalities"}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":25,"referenced_works":["https://openalex.org/W129770839","https://openalex.org/W1513856337","https://openalex.org/W1570448133","https://openalex.org/W1578856370","https://openalex.org/W176721219","https://openalex.org/W2067196267","https://openalex.org/W2084812512","https://openalex.org/W2096942889","https://openalex.org/W2112076978","https://openalex.org/W2113242816","https://openalex.org/W2114968414","https://openalex.org/W2129244720","https://openalex.org/W2140785063","https://openalex.org/W2149706766","https://openalex.org/W2152195021","https://openalex.org/W2165880886","https://openalex.org/W2178466215","https://openalex.org/W2493218965","https://openalex.org/W2911678770","https://openalex.org/W2911964244","https://openalex.org/W2912934387","https://openalex.org/W3139831614","https://openalex.org/W4244494905","https://openalex.org/W48170608","https://openalex.org/W615842445"],"related_works":["https://openalex.org/W4402452563","https://openalex.org/W2967867994","https://openalex.org/W2469878540","https://openalex.org/W2380744779","https://openalex.org/W2356150353","https://openalex.org/W2353313924","https://openalex.org/W22804973","https://openalex.org/W2250488071","https://openalex.org/W2075383893","https://openalex.org/W2018643641"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"propose":[4],"a":[5,23,73],"new":[6],"feature":[7,47,101],"transformation":[8,71,83,102],"method":[9,103],"that":[10,98],"is":[11,20,84],"optimized":[12],"for":[13,22],"diagonal":[14],"covariance":[15],"Gaussian":[16,38],"mixture":[17,39],"models":[18],"which":[19],"used":[21],"speaker":[24,74],"identification":[25,75],"system.":[26],"We":[27,68],"first":[28],"define":[29],"an":[30],"object":[31,52],"function":[32],"as":[33],"the":[34,37,46,51,58,63,70,99],"distances":[35],"between":[36],"components":[40],"and":[41,91],"rotate":[42],"each":[43],"plane":[44],"in":[45,77,107],"space":[48],"to":[49,72],"maximize":[50],"function.":[53],"The":[54,81,95],"optimal":[55],"degrees":[56],"of":[57],"rotations":[59],"are":[60],"found":[61],"using":[62],"particle":[64],"swarm":[65],"optimization":[66],"algorithm.":[67],"applied":[69],"task":[76],"unknown":[78],"noisy":[79],"environments.":[80],"proposed":[82,100],"compared":[85],"with":[86],"conventional":[87],"principle":[88],"component":[89],"analysis":[90],"linear":[92],"discriminant":[93],"analysis.":[94],"results":[96],"show":[97],"outperformed":[104],"existing":[105],"methods":[106],"very":[108],"high":[109],"noise":[110],"environment.":[111]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2165669526","counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":20},{"year":2020,"cited_by_count":31},{"year":2019,"cited_by_count":32},{"year":2018,"cited_by_count":25},{"year":2017,"cited_by_count":25},{"year":2016,"cited_by_count":16},{"year":2015,"cited_by_count":17},{"year":2014,"cited_by_count":6},{"year":2013,"cited_by_count":13},{"year":2012,"cited_by_count":17}],"updated_date":"2024-11-21T16:33:05.830775","created_date":"2016-06-24"}
