{"id":"https://openalex.org/W3015727958","doi":"https://doi.org/10.1109/icassp40776.2020.9052928","title":"Individual Distance-Dependent HRTFS Modeling Through A Few Anthropometric Measurements","display_name":"Individual Distance-Dependent HRTFS Modeling Through A Few Anthropometric Measurements","publication_year":2020,"publication_date":"2020-04-09","ids":{"openalex":"https://openalex.org/W3015727958","doi":"https://doi.org/10.1109/icassp40776.2020.9052928","mag":"3015727958"},"language":"en","primary_location":{"id":"doi:10.1109/icassp40776.2020.9052928","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9052928","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5091487601","display_name":"Mengfan Zhang","orcid":"https://orcid.org/0000-0003-0746-0221"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Mengfan Zhang","raw_affiliation_strings":["Key Laboratory on Machine Perception (Ministry of Education), Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory on Machine Perception (Ministry of Education), Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084685506","display_name":"Xihong Wu","orcid":"https://orcid.org/0009-0004-5236-7469"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xihong Wu","raw_affiliation_strings":["Key Laboratory on Machine Perception (Ministry of Education), Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory on Machine Perception (Ministry of Education), Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103080532","display_name":"Tianshu Qu","orcid":"https://orcid.org/0000-0001-6256-2031"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianshu Qu","raw_affiliation_strings":["Key Laboratory on Machine Perception (Ministry of Education), Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory on Machine Perception (Ministry of Education), Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5091487601"],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":0.3082,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.552879,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"5","issue":null,"first_page":"401","last_page":"405"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.973800003528595,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.973800003528595,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T12740","display_name":"Gait Recognition and Analysis","score":0.9370999932289124,"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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9326000213623047,"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/computer-science","display_name":"Computer science","score":0.603542149066925},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.5063008069992065},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4395577609539032},{"id":"https://openalex.org/keywords/transfer-function","display_name":"Transfer function","score":0.4128561019897461},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3370513916015625},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.14672863483428955},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13674387335777283}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.603542149066925},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.5063008069992065},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4395577609539032},{"id":"https://openalex.org/C81299745","wikidata":"https://www.wikidata.org/wiki/Q334269","display_name":"Transfer function","level":2,"score":0.4128561019897461},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3370513916015625},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.14672863483428955},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13674387335777283},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp40776.2020.9052928","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9052928","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.5299999713897705}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1515109179","https://openalex.org/W1970989411","https://openalex.org/W1971016029","https://openalex.org/W1971830354","https://openalex.org/W2001607488","https://openalex.org/W2011742516","https://openalex.org/W2045261700","https://openalex.org/W2045356643","https://openalex.org/W2050043981","https://openalex.org/W2064233625","https://openalex.org/W2108668360","https://openalex.org/W2111889754","https://openalex.org/W2116114278","https://openalex.org/W2120294020","https://openalex.org/W2121356515","https://openalex.org/W2130901411","https://openalex.org/W2203219590","https://openalex.org/W2764260703","https://openalex.org/W2937501401","https://openalex.org/W2999027282","https://openalex.org/W3099780260","https://openalex.org/W6630456326","https://openalex.org/W6677877589","https://openalex.org/W6679190269","https://openalex.org/W6745267900"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W4402327032","https://openalex.org/W2382290278"],"abstract_inverted_index":{"The":[0,99,116],"lack":[1],"of":[2],"data":[3],"is":[4,43,62],"a":[5,50,58],"major":[6],"problem":[7],"in":[8,68,75,86,94,129],"individual":[9,32,54,73,92,127],"HRTF":[10,15],"modeling.":[11],"There":[12],"are":[13],"many":[14],"databases,":[16],"but":[17],"each":[18],"database":[19],"only":[20],"has":[21,107],"limited":[22],"HRTFs":[23,30,38,56,67,74,85,93,128],"with":[24],"different":[25,41],"characteristics,":[26],"such":[27],"as":[28],"distance-dependent":[29,55],"or":[31],"HRTFs.":[33],"How":[34],"to":[35],"effectively":[36],"model":[37,106,123],"through":[39],"several":[40],"databases":[42],"an":[44],"important":[45],"task.":[46],"In":[47],"this":[48],"paper,":[49],"method":[51],"for":[52],"predicting":[53],"using":[57],"few":[59],"anthropometric":[60],"parameters":[61],"proposed.":[63],"By":[64],"modeling":[65],"the":[66,79,91,104,121,126],"CIPIC":[69],"database,":[70,81],"which":[71,82],"contains":[72,83],"1":[76],"meter,":[77],"and":[78,97,132],"PKU&IOA":[80],"KEMAR":[84],"eight":[87],"distances,":[88],"we":[89],"predict":[90,125],"arbitrary":[95,130],"directions":[96,131],"distances.":[98,133],"objective":[100],"experiments":[101,118],"show":[102,119],"that":[103,120],"proposed":[105,122],"less":[108],"spectral":[109],"distortions":[110],"than":[111],"distance":[112],"variation":[113],"function":[114],"model.":[115],"subjective":[117],"can":[124]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
