{"id":"https://openalex.org/W2095350775","doi":"https://doi.org/10.1109/tasl.2012.2229980","title":"Identification of Objectionable Audio Segments Based on Pseudo and Heterogeneous Mixture Models","display_name":"Identification of Objectionable Audio Segments Based on Pseudo and Heterogeneous Mixture Models","publication_year":2012,"publication_date":"2012-11-27","ids":{"openalex":"https://openalex.org/W2095350775","doi":"https://doi.org/10.1109/tasl.2012.2229980","mag":"2095350775"},"language":"en","primary_location":{"id":"doi:10.1109/tasl.2012.2229980","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tasl.2012.2229980","pdf_url":null,"source":{"id":"https://openalex.org/S199497470","display_name":"IEEE Transactions on Audio Speech and Language Processing","issn_l":"1558-7916","issn":["1558-7916","1558-7924"],"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 Audio, Speech, and Language Processing","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/A5018232553","display_name":"Ziqiang Shi","orcid":"https://orcid.org/0000-0002-3105-6213"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziqiang Shi","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China","School of Computer science and technology, Harbin Institute of Technology, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]},{"raw_affiliation_string":"School of Computer science and technology, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101508830","display_name":"Jiqing Han","orcid":"https://orcid.org/0000-0002-4297-4300"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiqing Han","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China","School of Computer science and technology, Harbin Institute of Technology, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]},{"raw_affiliation_string":"School of Computer science and technology, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101846141","display_name":"Tieran Zheng","orcid":"https://orcid.org/0009-0006-5179-0278"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tieran Zheng","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China","School of Computer science and technology, Harbin Institute of Technology, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]},{"raw_affiliation_string":"School of Computer science and technology, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5114889730","display_name":"Ji Li","orcid":"https://orcid.org/0000-0003-2196-7539"},"institutions":[{"id":"https://openalex.org/I4210127555","display_name":"China Guodian Corporation (China)","ror":"https://ror.org/02zrmae98","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210127555"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ji Li","raw_affiliation_strings":["Beijing GuoDianTong Network Technology Co., LTD., Beijing, China","Beijing GuoDianTong Network Technol. Co., Ltd., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing GuoDianTong Network Technology Co., LTD., Beijing, China","institution_ids":["https://openalex.org/I4210127555"]},{"raw_affiliation_string":"Beijing GuoDianTong Network Technol. Co., Ltd., Beijing, China","institution_ids":["https://openalex.org/I4210127555"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9747,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.7955352,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"21","issue":"3","first_page":"611","last_page":"623"},"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":0.9980999827384949,"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":0.9955000281333923,"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/mixture-model","display_name":"Mixture model","score":0.9478334188461304},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6430234909057617},{"id":"https://openalex.org/keywords/mixture-theory","display_name":"Mixture theory","score":0.6226775646209717},{"id":"https://openalex.org/keywords/expectation\u2013maximization-algorithm","display_name":"Expectation\u2013maximization algorithm","score":0.6171053051948547},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5605136752128601},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5570566654205322},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5468199253082275},{"id":"https://openalex.org/keywords/mixture-distribution","display_name":"Mixture distribution","score":0.48540744185447693},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.46661534905433655},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.44832414388656616},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.43141037225723267},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3455330431461334},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26759541034698486},{"id":"https://openalex.org/keywords/probability-density-function","display_name":"Probability density function","score":0.17842179536819458},{"id":"https://openalex.org/keywords/maximum-likelihood","display_name":"Maximum likelihood","score":0.16738498210906982},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08212587237358093}],"concepts":[{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.9478334188461304},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6430234909057617},{"id":"https://openalex.org/C2779736610","wikidata":"https://www.wikidata.org/wiki/Q6884140","display_name":"Mixture theory","level":3,"score":0.6226775646209717},{"id":"https://openalex.org/C182081679","wikidata":"https://www.wikidata.org/wiki/Q1275153","display_name":"Expectation\u2013maximization algorithm","level":3,"score":0.6171053051948547},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5605136752128601},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5570566654205322},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5468199253082275},{"id":"https://openalex.org/C56672385","wikidata":"https://www.wikidata.org/wiki/Q17157111","display_name":"Mixture distribution","level":3,"score":0.48540744185447693},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.46661534905433655},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.44832414388656616},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.43141037225723267},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3455330431461334},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26759541034698486},{"id":"https://openalex.org/C197055811","wikidata":"https://www.wikidata.org/wiki/Q207522","display_name":"Probability density function","level":2,"score":0.17842179536819458},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.16738498210906982},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08212587237358093},{"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tasl.2012.2229980","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tasl.2012.2229980","pdf_url":null,"source":{"id":"https://openalex.org/S199497470","display_name":"IEEE Transactions on Audio Speech and Language Processing","issn_l":"1558-7916","issn":["1558-7916","1558-7924"],"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 Audio, Speech, and Language Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W298212978","https://openalex.org/W1560013842","https://openalex.org/W1570448133","https://openalex.org/W1601914754","https://openalex.org/W1919402970","https://openalex.org/W1974492190","https://openalex.org/W2026222838","https://openalex.org/W2041823554","https://openalex.org/W2043951469","https://openalex.org/W2079054072","https://openalex.org/W2088928593","https://openalex.org/W2094378752","https://openalex.org/W2107078916","https://openalex.org/W2112180173","https://openalex.org/W2114624324","https://openalex.org/W2120566775","https://openalex.org/W2128260023","https://openalex.org/W2129312450","https://openalex.org/W2131821244","https://openalex.org/W2133824856","https://openalex.org/W2138317440","https://openalex.org/W2144894928","https://openalex.org/W2146850291","https://openalex.org/W2148127149","https://openalex.org/W2150775947","https://openalex.org/W2152595235","https://openalex.org/W2158762315","https://openalex.org/W2158893217","https://openalex.org/W2159561775","https://openalex.org/W2166706387","https://openalex.org/W2168441989","https://openalex.org/W2563554623","https://openalex.org/W2954169268","https://openalex.org/W3094114204","https://openalex.org/W4205687621","https://openalex.org/W4230674625","https://openalex.org/W4243354998","https://openalex.org/W4301681175","https://openalex.org/W6656857580","https://openalex.org/W6679707847","https://openalex.org/W6680890615","https://openalex.org/W6681607777","https://openalex.org/W6682222088","https://openalex.org/W6682708161","https://openalex.org/W6683181420"],"related_works":["https://openalex.org/W2108876167","https://openalex.org/W2095350775","https://openalex.org/W2078243932","https://openalex.org/W2581251411","https://openalex.org/W4295453670","https://openalex.org/W2348157373","https://openalex.org/W3021672241","https://openalex.org/W2963736043","https://openalex.org/W4302316314","https://openalex.org/W2147926259"],"abstract_inverted_index":{"In":[0,135],"this":[1,136],"paper,":[2],"we":[3,138],"generalize":[4],"the":[5,71,86,91,94,103,113,168,203,206,215],"Gaussian":[6,64],"Mixture":[7,55,65],"Model":[8,66],"(GMM)":[9],"in":[10,52,111,155,180],"two":[11,20,45],"ways:":[12],"a)":[13],"by":[14,33,58],"introducing":[15],"novel":[16],"distance":[17],"measures":[18],"between":[19],"vectors":[21],"based":[22,37,128,144,176,192],"on":[23,38,82,129,145,193],"nonlinear":[24,77,83],"maps":[25,78],"to":[26,70,102],"give":[27],"more":[28],"general":[29],"mixture":[30,35,125,141],"models;":[31],"b)":[32],"building":[34],"models":[36,126,142],"multiple":[39,146],"different":[40,49,147,160,165],"kinds":[41,148],"of":[42,133,149,153,167,183,205],"distributions.":[43,150],"These":[44],"generalizations":[46],"cope":[47],"with":[48,76,189],"problems":[50],"arisen":[51],"feature":[53],"modeling.":[54],"model":[56],"obtained":[57],"first":[59],"method":[60],"is":[61,89,218],"called":[62],"pseudo":[63,74,173,194],"(pseudo":[67],"GMM).":[68],"Compared":[69],"traditional":[72,99],"GMM,":[73],"GMM":[75,100,195],"have":[79,158],"better":[80],"performance":[81],"problems,":[84],"while":[85,123],"computational":[87],"complexity":[88],"almost":[90],"same":[92],"as":[93],"Expectation-Maximization":[95],"(EM)":[96],"algorithm":[97],"for":[98,198,221],"according":[101],"iteration":[104],"procedures.":[105],"The":[106],"second":[107],"generalization":[108],"considers":[109],"that":[110,214],"practice":[112],"practical":[114],"learning":[115],"problem":[116],"often":[117],"involves":[118],"multiple,":[119],"heterogeneous":[120,140],"data":[121],"sources,":[122],"classical":[124],"are":[127,178],"a":[130],"single":[131],"kind":[132],"distribution.":[134],"work,":[137],"consider":[139],"(hetMM)":[143],"Different":[151],"types":[152],"distributions":[154],"hetMM":[156,175,197],"may":[157,163],"quite":[159],"properties":[161],"and":[162,174,196,210],"capture":[164],"features":[166],"data.":[169],"Component":[170],"classifiers":[171,177,190],"including":[172],"employed":[179],"our":[181],"task":[182],"erotic":[184,199,222],"audio":[185,200,223],"recognition.":[186,224],"Experimental":[187],"results":[188],"built":[191],"recognition":[201],"demonstrate":[202],"effectiveness":[204],"proposed":[207,216],"model.":[208],"Online":[209],"off-line":[211],"experiments":[212],"show":[213],"approach":[217],"highly":[219],"effective":[220]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2013,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
