{"id":"https://openalex.org/W7126064472","doi":"https://doi.org/10.1109/icfsp67350.2025.11353692","title":"A Non-invasive Measurement System for Evaluating 3D Indoor Sound Source Localization Techniques","display_name":"A Non-invasive Measurement System for Evaluating 3D Indoor Sound Source Localization Techniques","publication_year":2025,"publication_date":"2025-09-10","ids":{"openalex":"https://openalex.org/W7126064472","doi":"https://doi.org/10.1109/icfsp67350.2025.11353692"},"language":null,"primary_location":{"id":"doi:10.1109/icfsp67350.2025.11353692","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icfsp67350.2025.11353692","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 10th International Conference on Frontiers of Signal Processing (ICFSP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5124158643","display_name":"L. Sillekens","orcid":null},"institutions":[{"id":"https://openalex.org/I31512782","display_name":"Technische Universit\u00e4t Darmstadt","ror":"https://ror.org/05n911h24","country_code":"DE","type":"education","lineage":["https://openalex.org/I31512782"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"L. Sillekens","raw_affiliation_strings":["University of Applied Sciences Darmstadt,Darmstadt,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Applied Sciences Darmstadt,Darmstadt,Germany","institution_ids":["https://openalex.org/I31512782"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124184933","display_name":"O. Rudolf","orcid":null},"institutions":[{"id":"https://openalex.org/I31512782","display_name":"Technische Universit\u00e4t Darmstadt","ror":"https://ror.org/05n911h24","country_code":"DE","type":"education","lineage":["https://openalex.org/I31512782"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"O. Rudolf","raw_affiliation_strings":["University of Applied Sciences Darmstadt,Darmstadt,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Applied Sciences Darmstadt,Darmstadt,Germany","institution_ids":["https://openalex.org/I31512782"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124273278","display_name":"M. Thi\u00dfen","orcid":null},"institutions":[{"id":"https://openalex.org/I31512782","display_name":"Technische Universit\u00e4t Darmstadt","ror":"https://ror.org/05n911h24","country_code":"DE","type":"education","lineage":["https://openalex.org/I31512782"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"M. Thi\u00dfen","raw_affiliation_strings":["University of Applied Sciences Darmstadt,Darmstadt,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Applied Sciences Darmstadt,Darmstadt,Germany","institution_ids":["https://openalex.org/I31512782"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124221576","display_name":"I. Penner","orcid":null},"institutions":[{"id":"https://openalex.org/I4210125068","display_name":"Prysmian Group (Germany)","ror":"https://ror.org/03967py46","country_code":"DE","type":"company","lineage":["https://openalex.org/I4210095782","https://openalex.org/I4210125068"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"I. Penner","raw_affiliation_strings":["Thermokon Sensortechnik GmbH,Mittenaar,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Thermokon Sensortechnik GmbH,Mittenaar,Germany","institution_ids":["https://openalex.org/I4210125068"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054295463","display_name":"Stefan Seyfarth","orcid":null},"institutions":[{"id":"https://openalex.org/I4210125068","display_name":"Prysmian Group (Germany)","ror":"https://ror.org/03967py46","country_code":"DE","type":"company","lineage":["https://openalex.org/I4210095782","https://openalex.org/I4210125068"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"S. Seyfarth","raw_affiliation_strings":["Thermokon Sensortechnik GmbH,Mittenaar,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Thermokon Sensortechnik GmbH,Mittenaar,Germany","institution_ids":["https://openalex.org/I4210125068"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124183042","display_name":"E. Hergenro\u00f6ther","orcid":null},"institutions":[{"id":"https://openalex.org/I31512782","display_name":"Technische Universit\u00e4t Darmstadt","ror":"https://ror.org/05n911h24","country_code":"DE","type":"education","lineage":["https://openalex.org/I31512782"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"E. Hergenro\u00f6ther","raw_affiliation_strings":["University of Applied Sciences Darmstadt,Darmstadt,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Applied Sciences Darmstadt,Darmstadt,Germany","institution_ids":["https://openalex.org/I31512782"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5124291732","display_name":"J.-P. Akelbein","orcid":null},"institutions":[{"id":"https://openalex.org/I31512782","display_name":"Technische Universit\u00e4t Darmstadt","ror":"https://ror.org/05n911h24","country_code":"DE","type":"education","lineage":["https://openalex.org/I31512782"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"J.-P. Akelbein","raw_affiliation_strings":["University of Applied Sciences Darmstadt,Darmstadt,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Applied Sciences Darmstadt,Darmstadt,Germany","institution_ids":["https://openalex.org/I31512782"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.61899278,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"79","last_page":"86"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.8873000144958496,"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":0.8873000144958496,"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.04190000146627426,"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/T10283","display_name":"Hearing Loss and Rehabilitation","score":0.016100000590085983,"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/acoustic-source-localization","display_name":"Acoustic source localization","score":0.8490999937057495},{"id":"https://openalex.org/keywords/microphone","display_name":"Microphone","score":0.7353000044822693},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6686000227928162},{"id":"https://openalex.org/keywords/microphone-array","display_name":"Microphone array","score":0.460099995136261},{"id":"https://openalex.org/keywords/system-of-measurement","display_name":"System of measurement","score":0.45750001072883606},{"id":"https://openalex.org/keywords/sound-localization","display_name":"Sound localization","score":0.45010000467300415},{"id":"https://openalex.org/keywords/observational-error","display_name":"Observational error","score":0.43860000371932983},{"id":"https://openalex.org/keywords/standard-deviation","display_name":"Standard deviation","score":0.42640000581741333}],"concepts":[{"id":"https://openalex.org/C93240960","wikidata":"https://www.wikidata.org/wiki/Q217270","display_name":"Acoustic source localization","level":3,"score":0.8490999937057495},{"id":"https://openalex.org/C2778263558","wikidata":"https://www.wikidata.org/wiki/Q46384","display_name":"Microphone","level":3,"score":0.7353000044822693},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6686000227928162},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6561999917030334},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.5178999900817871},{"id":"https://openalex.org/C2778806681","wikidata":"https://www.wikidata.org/wiki/Q907293","display_name":"Microphone array","level":4,"score":0.460099995136261},{"id":"https://openalex.org/C37649242","wikidata":"https://www.wikidata.org/wiki/Q932268","display_name":"System of measurement","level":2,"score":0.45750001072883606},{"id":"https://openalex.org/C68236139","wikidata":"https://www.wikidata.org/wiki/Q765652","display_name":"Sound localization","level":2,"score":0.45010000467300415},{"id":"https://openalex.org/C19619285","wikidata":"https://www.wikidata.org/wiki/Q196372","display_name":"Observational error","level":2,"score":0.43860000371932983},{"id":"https://openalex.org/C22679943","wikidata":"https://www.wikidata.org/wiki/Q159375","display_name":"Standard deviation","level":2,"score":0.42640000581741333},{"id":"https://openalex.org/C134786449","wikidata":"https://www.wikidata.org/wiki/Q3391255","display_name":"Planar","level":2,"score":0.4259999990463257},{"id":"https://openalex.org/C137209882","wikidata":"https://www.wikidata.org/wiki/Q1403517","display_name":"Measurement uncertainty","level":2,"score":0.35359999537467957},{"id":"https://openalex.org/C36922181","wikidata":"https://www.wikidata.org/wiki/Q7047650","display_name":"Noise-canceling microphone","level":5,"score":0.3467999994754791},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.32420000433921814},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.31700000166893005},{"id":"https://openalex.org/C67514181","wikidata":"https://www.wikidata.org/wiki/Q1588477","display_name":"Sound power","level":3,"score":0.3140999972820282},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29030001163482666},{"id":"https://openalex.org/C2986158284","wikidata":"https://www.wikidata.org/wiki/Q6522493","display_name":"Distance measurement","level":2,"score":0.27889999747276306},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.27469998598098755},{"id":"https://openalex.org/C104037064","wikidata":"https://www.wikidata.org/wiki/Q1640884","display_name":"Multilateration","level":3,"score":0.26089999079704285},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.25540000200271606},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.25130000710487366}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icfsp67350.2025.11353692","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icfsp67350.2025.11353692","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 10th International Conference on Frontiers of Signal Processing (ICFSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4782763719558716,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2002503134","https://openalex.org/W2046317813","https://openalex.org/W2129821199","https://openalex.org/W2130357996","https://openalex.org/W2405811751","https://openalex.org/W2533459608","https://openalex.org/W2918984654","https://openalex.org/W3169146199","https://openalex.org/W3217317857","https://openalex.org/W4292672247","https://openalex.org/W4365800717","https://openalex.org/W4404269162","https://openalex.org/W4408309981"],"related_works":[],"abstract_inverted_index":{"Indoor":[0],"sound":[1,25],"source":[2,26],"localization":[3,27,41,103,123,142],"enables":[4],"innovative":[5],"and":[6,93,118,135,151,157],"cost-effective":[7],"applications,":[8],"such":[9],"as":[10],"needs-based":[11],"automation":[12],"of":[13,127],"building":[14],"functions.":[15],"This":[16],"paper":[17],"presents":[18],"a":[19,32,66,79,97,122],"measurement":[20],"system":[21],"for":[22,108,167],"3D":[23,69,80,168],"positional":[24],"in":[28,96,131,148],"the":[29,57,76,133,149],"near-field":[30],"using":[31,56,89],"single,":[33],"distributed":[34],"microphone":[35,51],"array":[36],"with":[37,116,144],"non-invasive":[38],"geometry.":[39],"Two":[40],"techniques":[42],"are":[43,54,164],"evaluated,":[44],"both":[45,90,132],"relying":[46],"on":[47],"Time-Difference-of-Arrival":[48],"(TDOA)":[49],"between":[50],"pairs,":[52],"which":[53],"estimated":[55],"well-known":[58],"\u03b2-GCC-PHAT":[59],"frequency":[60],"weighting.":[61],"The":[62,111,137],"first":[63],"algorithm":[64,139],"is":[65],"closed-form":[67],"analytical":[68],"Sound":[70],"Source":[71],"Localization":[72],"(3D-SSL)":[73],"solution,":[74],"while":[75],"second":[77],"employs":[78],"grid-based":[81],"Steered":[82],"Response":[83],"Power":[84],"(SRP)":[85],"method.":[86],"Experimental":[87],"results":[88],"human":[91],"speech":[92],"clapping":[94],"signals":[95],"highly":[98],"reverberant":[99],"environment":[100],"show":[101],"high":[102,173],"accuracy,":[104,143],"indicating":[105],"strong":[106],"potential":[107],"practical":[109],"deployment.":[110],"3D-SSL":[112],"algorithm,":[113],"when":[114],"combined":[115],"stability":[117],"spatial":[119],"filtering,":[120],"achieves":[121],"error":[124],"standard":[125],"deviation":[126],"less":[128],"than":[129],"30cm":[130],"x-":[134,150],"y-directions.":[136],"SRP":[138],"exhibits":[140],"lower":[141],"errors":[145],"below":[146],"70cm":[147],"y-directions,":[152],"but":[153],"offers":[154],"greater":[155],"robustness":[156],"does":[158],"not":[159],"require":[160,172],"filtering.":[161],"Both":[162],"methods":[163],"particularly":[165],"well-suited":[166],"indoor":[169],"applications":[170],"that":[171],"planar":[174],"accuracy.":[175]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2026-01-30T00:00:00"}
