{"id":"https://openalex.org/W2003478445","doi":"https://doi.org/10.1109/icassp.2013.6638350","title":"HRTF personalization modeling based on RBF neural network","display_name":"HRTF personalization modeling based on RBF neural network","publication_year":2013,"publication_date":"2013-05-01","ids":{"openalex":"https://openalex.org/W2003478445","doi":"https://doi.org/10.1109/icassp.2013.6638350","mag":"2003478445"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2013.6638350","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2013.6638350","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Acoustics, Speech and Signal Processing","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/A5025103802","display_name":"Lin Li","orcid":"https://orcid.org/0009-0007-4737-4500"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lin Li","raw_affiliation_strings":["School of Communication and Information Engineering, Shanghai University, Shanghai, China","school of Communication and Information Engineering, Shanghai University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Communication and Information Engineering, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]},{"raw_affiliation_string":"school of Communication and Information Engineering, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101851006","display_name":"Qinghua Huang","orcid":"https://orcid.org/0000-0001-6332-895X"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qinghua Huang","raw_affiliation_strings":["School of Communication and Information Engineering, Shanghai University, Shanghai, China","school of Communication and Information Engineering, Shanghai University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Communication and Information Engineering, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]},{"raw_affiliation_string":"school of Communication and Information Engineering, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5025103802"],"corresponding_institution_ids":["https://openalex.org/I113940042"],"apc_list":null,"apc_paid":null,"fwci":2.3981,"has_fulltext":false,"cited_by_count":40,"citation_normalized_percentile":{"value":0.87744989,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"3707","last_page":"3710"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10822","display_name":"Acoustic Wave Phenomena Research","score":0.9943000078201294,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10822","display_name":"Acoustic Wave Phenomena Research","score":0.9943000078201294,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9943000078201294,"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/T10283","display_name":"Hearing Loss and Rehabilitation","score":0.9897000193595886,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/tucker-decomposition","display_name":"Tucker decomposition","score":0.6651452779769897},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6549233794212341},{"id":"https://openalex.org/keywords/transfer-function","display_name":"Transfer function","score":0.6310444474220276},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5922373533248901},{"id":"https://openalex.org/keywords/personalization","display_name":"Personalization","score":0.5769708156585693},{"id":"https://openalex.org/keywords/radial-basis-function","display_name":"Radial basis function","score":0.4984273910522461},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.49504557251930237},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.4566137492656708},{"id":"https://openalex.org/keywords/singular-value-decomposition","display_name":"Singular value decomposition","score":0.41250425577163696},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3946996033191681},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34664368629455566},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26410120725631714},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.17485466599464417},{"id":"https://openalex.org/keywords/tensor-decomposition","display_name":"Tensor decomposition","score":0.08624663949012756}],"concepts":[{"id":"https://openalex.org/C42704193","wikidata":"https://www.wikidata.org/wiki/Q7851097","display_name":"Tucker decomposition","level":4,"score":0.6651452779769897},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6549233794212341},{"id":"https://openalex.org/C81299745","wikidata":"https://www.wikidata.org/wiki/Q334269","display_name":"Transfer function","level":2,"score":0.6310444474220276},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5922373533248901},{"id":"https://openalex.org/C183003079","wikidata":"https://www.wikidata.org/wiki/Q1000371","display_name":"Personalization","level":2,"score":0.5769708156585693},{"id":"https://openalex.org/C98856871","wikidata":"https://www.wikidata.org/wiki/Q1588488","display_name":"Radial basis function","level":3,"score":0.4984273910522461},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.49504557251930237},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.4566137492656708},{"id":"https://openalex.org/C22789450","wikidata":"https://www.wikidata.org/wiki/Q420904","display_name":"Singular value decomposition","level":2,"score":0.41250425577163696},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3946996033191681},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34664368629455566},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26410120725631714},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.17485466599464417},{"id":"https://openalex.org/C2986737658","wikidata":"https://www.wikidata.org/wiki/Q30103009","display_name":"Tensor decomposition","level":3,"score":0.08624663949012756},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","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/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2013.6638350","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2013.6638350","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Acoustics, Speech and Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320321881","display_name":"Shanghai Municipal Education Commission","ror":"https://ror.org/05tewj457"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1970989411","https://openalex.org/W1997669607","https://openalex.org/W2013912476","https://openalex.org/W2020958681","https://openalex.org/W2027765653","https://openalex.org/W2089795665","https://openalex.org/W2108668360","https://openalex.org/W2115369250","https://openalex.org/W2149620660","https://openalex.org/W2328355127","https://openalex.org/W6681822384"],"related_works":["https://openalex.org/W3202440455","https://openalex.org/W2038198231","https://openalex.org/W4284965568","https://openalex.org/W3203680175","https://openalex.org/W4320519572","https://openalex.org/W4251688473","https://openalex.org/W2906988372","https://openalex.org/W2030101839","https://openalex.org/W4207016237","https://openalex.org/W2219073195"],"abstract_inverted_index":{"A":[0],"tensor":[1,44],"is":[2,37,85],"used":[3],"to":[4,40,95,100],"describe":[5],"head-related":[6],"transfer":[7],"functions":[8],"(HRTFs)":[9],"dependent":[10],"on":[11,88],"frequencies,":[12],"sound":[13],"directions":[14],"and":[15,60,67],"anthropometric":[16,53,103],"parameters.":[17,104],"It":[18],"can":[19],"represent":[20],"the":[21,46,49,68,75,78,101,115,123],"multi-dimensional":[22],"structure":[23],"of":[24,48,77],"measured":[25,65,102],"HRTFs.":[26],"To":[27],"construct":[28],"a":[29,82],"personalization":[30,79],"model,":[31],"high-order":[32],"singular":[33],"value":[34],"decomposition":[35],"(HOSVD)":[36],"firstly":[38],"applied":[39],"extract":[41],"individual":[42,69,97,120],"core":[43,70],"as":[45,74],"outputs":[47],"model.":[50,80],"Some":[51],"important":[52],"parameters":[54,66],"are":[55],"selected":[56],"by":[57],"Laplacian":[58],"score":[59],"correlation":[61],"analysis":[62],"between":[63],"all":[64],"tensor.":[71],"They":[72],"act":[73],"inputs":[76],"Then":[81],"nonlinear":[83],"model":[84],"constructed":[86],"based":[87],"radial":[89],"basis":[90],"function":[91],"(RBF)":[92],"neural":[93,109],"network":[94,110],"predict":[96],"HRTFs":[98,121],"according":[99],"Compared":[105],"with":[106],"back-propagation":[107],"(BP)":[108],"method,":[111],"simulation":[112],"results":[113],"demonstrate":[114],"better":[116],"performance":[117],"for":[118],"predicting":[119],"in":[122],"midsaggital":[124],"plane":[125],"at":[126],"high":[127],"elevations.":[128]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
