{"id":"https://openalex.org/W2784289299","doi":"https://doi.org/10.1109/taslp.2018.2790707","title":"A Hybrid Approach for Speaker Tracking Based on TDOA and Data-Driven Models","display_name":"A Hybrid Approach for Speaker Tracking Based on TDOA and Data-Driven Models","publication_year":2018,"publication_date":"2018-01-08","ids":{"openalex":"https://openalex.org/W2784289299","doi":"https://doi.org/10.1109/taslp.2018.2790707","mag":"2784289299"},"language":"en","primary_location":{"id":"doi:10.1109/taslp.2018.2790707","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taslp.2018.2790707","pdf_url":null,"source":{"id":"https://openalex.org/S4210169297","display_name":"IEEE/ACM Transactions on Audio Speech and Language Processing","issn_l":"2329-9290","issn":["2329-9290","2329-9304"],"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/ACM 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/A5082409171","display_name":"Bracha Laufer-Goldshtein","orcid":"https://orcid.org/0000-0003-2606-4793"},"institutions":[{"id":"https://openalex.org/I13955877","display_name":"Bar-Ilan University","ror":"https://ror.org/03kgsv495","country_code":"IL","type":"education","lineage":["https://openalex.org/I13955877"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Bracha Laufer-Goldshtein","raw_affiliation_strings":["Faculty of Engineering, Bar-Ilan University, Ramat Gan, Israel"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, Bar-Ilan University, Ramat Gan, Israel","institution_ids":["https://openalex.org/I13955877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020330914","display_name":"Ronen Talmon","orcid":"https://orcid.org/0000-0002-6838-1423"},"institutions":[{"id":"https://openalex.org/I174306211","display_name":"Technion \u2013 Israel Institute of Technology","ror":"https://ror.org/03qryx823","country_code":"IL","type":"education","lineage":["https://openalex.org/I174306211"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Ronen Talmon","raw_affiliation_strings":["Faculty of Electrical Engineering, Technion\u2014Israel Institute of Technology, Haifa, Israel"],"raw_orcid":"https://orcid.org/0000-0002-6838-1423","affiliations":[{"raw_affiliation_string":"Faculty of Electrical Engineering, Technion\u2014Israel Institute of Technology, Haifa, Israel","institution_ids":["https://openalex.org/I174306211"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001052072","display_name":"Sharon Gannot","orcid":"https://orcid.org/0000-0002-2885-170X"},"institutions":[{"id":"https://openalex.org/I13955877","display_name":"Bar-Ilan University","ror":"https://ror.org/03kgsv495","country_code":"IL","type":"education","lineage":["https://openalex.org/I13955877"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Sharon Gannot","raw_affiliation_strings":["Faculty of Engineering, Bar-Ilan University, Ramat Gan, Israel"],"raw_orcid":"https://orcid.org/0000-0002-2885-170X","affiliations":[{"raw_affiliation_string":"Faculty of Engineering, Bar-Ilan University, Ramat Gan, Israel","institution_ids":["https://openalex.org/I13955877"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2495,"currency":"USD","value_usd":2495},"apc_paid":null,"fwci":2.5365,"has_fulltext":false,"cited_by_count":33,"citation_normalized_percentile":{"value":0.90065691,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"26","issue":"4","first_page":"725","last_page":"735"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":1.0,"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/T10860","display_name":"Speech and Audio Processing","score":1.0,"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T11309","display_name":"Music and Audio Processing","score":0.994700014591217,"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/multilateration","display_name":"Multilateration","score":0.9296475648880005},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6795036196708679},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5527938604354858},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5354523658752441},{"id":"https://openalex.org/keywords/microphone","display_name":"Microphone","score":0.5042389631271362},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.49577125906944275},{"id":"https://openalex.org/keywords/state-space-representation","display_name":"State-space representation","score":0.4653037190437317},{"id":"https://openalex.org/keywords/acoustic-source-localization","display_name":"Acoustic source localization","score":0.44464483857154846},{"id":"https://openalex.org/keywords/microphone-array","display_name":"Microphone array","score":0.41798287630081177},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3914523124694824},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.33798879384994507},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.33641302585601807},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.30833199620246887},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.11319586634635925},{"id":"https://openalex.org/keywords/acoustic-wave","display_name":"Acoustic wave","score":0.09426692128181458},{"id":"https://openalex.org/keywords/sound-pressure","display_name":"Sound pressure","score":0.08258530497550964}],"concepts":[{"id":"https://openalex.org/C104037064","wikidata":"https://www.wikidata.org/wiki/Q1640884","display_name":"Multilateration","level":3,"score":0.9296475648880005},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6795036196708679},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5527938604354858},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5354523658752441},{"id":"https://openalex.org/C2778263558","wikidata":"https://www.wikidata.org/wiki/Q46384","display_name":"Microphone","level":3,"score":0.5042389631271362},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.49577125906944275},{"id":"https://openalex.org/C52918065","wikidata":"https://www.wikidata.org/wiki/Q230945","display_name":"State-space representation","level":2,"score":0.4653037190437317},{"id":"https://openalex.org/C93240960","wikidata":"https://www.wikidata.org/wiki/Q217270","display_name":"Acoustic source localization","level":3,"score":0.44464483857154846},{"id":"https://openalex.org/C2778806681","wikidata":"https://www.wikidata.org/wiki/Q907293","display_name":"Microphone array","level":4,"score":0.41798287630081177},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3914523124694824},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.33798879384994507},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33641302585601807},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30833199620246887},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.11319586634635925},{"id":"https://openalex.org/C204723758","wikidata":"https://www.wikidata.org/wiki/Q3882459","display_name":"Acoustic wave","level":2,"score":0.09426692128181458},{"id":"https://openalex.org/C68115822","wikidata":"https://www.wikidata.org/wiki/Q1068172","display_name":"Sound pressure","level":2,"score":0.08258530497550964},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/taslp.2018.2790707","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taslp.2018.2790707","pdf_url":null,"source":{"id":"https://openalex.org/S4210169297","display_name":"IEEE/ACM Transactions on Audio Speech and Language Processing","issn_l":"2329-9290","issn":["2329-9290","2329-9304"],"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/ACM Transactions on Audio, Speech, and Language Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.75,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":61,"referenced_works":["https://openalex.org/W172262255","https://openalex.org/W199515402","https://openalex.org/W1555217905","https://openalex.org/W1603544686","https://openalex.org/W1648602279","https://openalex.org/W1661628234","https://openalex.org/W1739407491","https://openalex.org/W1746819321","https://openalex.org/W1772191655","https://openalex.org/W1986003933","https://openalex.org/W2001183000","https://openalex.org/W2016637789","https://openalex.org/W2020934227","https://openalex.org/W2022547207","https://openalex.org/W2031043588","https://openalex.org/W2039760476","https://openalex.org/W2046317813","https://openalex.org/W2073729956","https://openalex.org/W2089946642","https://openalex.org/W2090024980","https://openalex.org/W2098613108","https://openalex.org/W2100152238","https://openalex.org/W2107493093","https://openalex.org/W2108248087","https://openalex.org/W2110920381","https://openalex.org/W2113337286","https://openalex.org/W2113638573","https://openalex.org/W2113744809","https://openalex.org/W2114863372","https://openalex.org/W2117397690","https://openalex.org/W2117449667","https://openalex.org/W2123577089","https://openalex.org/W2128562854","https://openalex.org/W2128970593","https://openalex.org/W2137666850","https://openalex.org/W2139159265","https://openalex.org/W2149900846","https://openalex.org/W2160339379","https://openalex.org/W2166940128","https://openalex.org/W2167179555","https://openalex.org/W2167206042","https://openalex.org/W2167501065","https://openalex.org/W2220224365","https://openalex.org/W2286474545","https://openalex.org/W2294082613","https://openalex.org/W2323586942","https://openalex.org/W2337621096","https://openalex.org/W2394704112","https://openalex.org/W2407480574","https://openalex.org/W2463465753","https://openalex.org/W2538968649","https://openalex.org/W2588059932","https://openalex.org/W3100871498","https://openalex.org/W4211049957","https://openalex.org/W6608016876","https://openalex.org/W6637161859","https://openalex.org/W6637819577","https://openalex.org/W6655473528","https://openalex.org/W6679438253","https://openalex.org/W6684846340","https://openalex.org/W6703471520"],"related_works":["https://openalex.org/W2288274698","https://openalex.org/W4385361701","https://openalex.org/W2068968550","https://openalex.org/W2770231486","https://openalex.org/W2187684650","https://openalex.org/W2159296145","https://openalex.org/W1879255185","https://openalex.org/W2188292175","https://openalex.org/W4386900535","https://openalex.org/W1983991597"],"abstract_inverted_index":{"The":[0,49,79,136,151],"problem":[1],"of":[2,33,75,98,106,157],"speaker":[3],"tracking":[4,22],"in":[5,12,161],"noisy":[6,162],"and":[7,36,139,163],"reverberant":[8,66,164],"enclosures":[9],"is":[10,39,52,82],"addressed":[11],"this":[13],"paper.":[14],"We":[15],"present":[16],"a":[17,25,34,85,90,113],"hybrid":[18],"algorithm,":[19],"combining":[20],"traditional":[21],"schemes":[23],"with":[24],"new":[26],"learning-based":[27],"approach.":[28],"A":[29],"state-space":[30,80],"representation,":[31],"consisting":[32],"propagation":[35,115,138],"observation":[37,123,140],"models,":[38],"learned":[40],"from":[41],"signals":[42],"measured":[43],"by":[44,84],"several":[45],"distributed":[46],"microphone":[47],"pairs.":[48],"proposed":[50,159],"representation":[51,81],"based":[53,88],"on":[54,89],"two":[55],"data":[56],"modalities":[57],"corresponding":[58],"to":[59,94,102,131],"high-dimensional":[60],"acoustic":[61,67,100],"features":[62],"representing":[63],"the":[64,96,99,103,107,118,122,125,132,143,155,158],"full":[65],"channels":[68,101],"as":[69,71],"well":[70],"low-dimensional":[72],"time":[73],"difference":[74],"arrival":[76],"(TDOA)":[77],"estimates.":[78],"accompanied":[83],"statistical":[86],"model":[87,116],"Gaussian":[91],"process":[92],"used":[93],"relate":[95],"variations":[97,105],"physical":[104],"associated":[108,133],"source":[109,119,126],"positions,":[110],"thereby":[111],"forming":[112],"data-driven":[114],"for":[117,145],"movement.":[120],"In":[121],"model,":[124],"positions":[127],"are":[128],"nonlinearly":[129],"mapped":[130],"TDOA":[134],"readings.":[135],"obtained":[137],"models":[141],"establish":[142],"basis":[144],"employing":[146],"an":[147],"extended":[148],"Kalman":[149],"filter.":[150],"simulation":[152],"results":[153],"demonstrate":[154],"robustness":[156],"method":[160],"conditions.":[165]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":3}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}