{"id":"https://openalex.org/W2168140505","doi":"https://doi.org/10.1109/tasl.2010.2092765","title":"TDOA Estimation for Multiple Sound Sources in Noisy and Reverberant Environments Using Broadband Independent Component Analysis","display_name":"TDOA Estimation for Multiple Sound Sources in Noisy and Reverberant Environments Using Broadband Independent Component Analysis","publication_year":2010,"publication_date":"2010-11-23","ids":{"openalex":"https://openalex.org/W2168140505","doi":"https://doi.org/10.1109/tasl.2010.2092765","mag":"2168140505"},"language":"en","primary_location":{"id":"doi:10.1109/tasl.2010.2092765","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tasl.2010.2092765","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/A5111931478","display_name":"Anthony Lombard","orcid":null},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Anthony Lombard","raw_affiliation_strings":["Chair of Multimedia Communications and Signal Processing, University of Erlangen Nuremberg, Erlangen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chair of Multimedia Communications and Signal Processing, University of Erlangen Nuremberg, Erlangen, Germany","institution_ids":["https://openalex.org/I181369854"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102809483","display_name":"Yuanhang Zheng","orcid":"https://orcid.org/0000-0001-6224-8739"},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Yuanhang Zheng","raw_affiliation_strings":["Chair of Multimedia Communications and Signal Processing, University of Erlangen Nuremberg, Erlangen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chair of Multimedia Communications and Signal Processing, University of Erlangen Nuremberg, Erlangen, Germany","institution_ids":["https://openalex.org/I181369854"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088002290","display_name":"Herbert Buchner","orcid":null},"institutions":[{"id":"https://openalex.org/I4210093367","display_name":"Deutsche Telekom (Germany)","ror":"https://ror.org/00m8prc86","country_code":"DE","type":"company","lineage":["https://openalex.org/I4210093367"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Herbert Buchner","raw_affiliation_strings":["Deutsche Telekom Laboratories, Technical University Berlin, Berlin, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Deutsche Telekom Laboratories, Technical University Berlin, Berlin, Germany","institution_ids":["https://openalex.org/I4210093367"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068787682","display_name":"Walter Kellermann","orcid":"https://orcid.org/0000-0002-6501-3174"},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Walter Kellermann","raw_affiliation_strings":["Chair of Multimedia Communications and Signal Processing, University of Erlangen Nuremberg, Erlangen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chair of Multimedia Communications and Signal Processing, University of Erlangen Nuremberg, Erlangen, Germany","institution_ids":["https://openalex.org/I181369854"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.334,"has_fulltext":false,"cited_by_count":92,"citation_normalized_percentile":{"value":0.93131992,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":100},"biblio":{"volume":"19","issue":"6","first_page":"1490","last_page":"1503"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","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/T11447","display_name":"Blind Source Separation Techniques","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/T10860","display_name":"Speech 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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9993000030517578,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/multilateration","display_name":"Multilateration","score":0.781990110874176},{"id":"https://openalex.org/keywords/independent-component-analysis","display_name":"Independent component analysis","score":0.718367338180542},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.671918511390686},{"id":"https://openalex.org/keywords/reverberation","display_name":"Reverberation","score":0.6318106055259705},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.5047422647476196},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4420848488807678},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4266964793205261},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.41756463050842285},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4123193919658661},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.41114044189453125},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.38925468921661377},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23320069909095764},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21267050504684448}],"concepts":[{"id":"https://openalex.org/C104037064","wikidata":"https://www.wikidata.org/wiki/Q1640884","display_name":"Multilateration","level":3,"score":0.781990110874176},{"id":"https://openalex.org/C51432778","wikidata":"https://www.wikidata.org/wiki/Q1259145","display_name":"Independent component analysis","level":2,"score":0.718367338180542},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.671918511390686},{"id":"https://openalex.org/C95851461","wikidata":"https://www.wikidata.org/wiki/Q468809","display_name":"Reverberation","level":2,"score":0.6318106055259705},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.5047422647476196},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4420848488807678},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4266964793205261},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.41756463050842285},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4123193919658661},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.41114044189453125},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.38925468921661377},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23320069909095764},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21267050504684448},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tasl.2010.2092765","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tasl.2010.2092765","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":50,"referenced_works":["https://openalex.org/W184219636","https://openalex.org/W285277413","https://openalex.org/W1492221128","https://openalex.org/W1522463960","https://openalex.org/W1592671018","https://openalex.org/W1970789124","https://openalex.org/W2023004272","https://openalex.org/W2023254078","https://openalex.org/W2046317813","https://openalex.org/W2060108923","https://openalex.org/W2068573667","https://openalex.org/W2069447433","https://openalex.org/W2069553068","https://openalex.org/W2088632109","https://openalex.org/W2092169519","https://openalex.org/W2096855653","https://openalex.org/W2099464104","https://openalex.org/W2103396946","https://openalex.org/W2107461080","https://openalex.org/W2107570138","https://openalex.org/W2109987668","https://openalex.org/W2113638573","https://openalex.org/W2113744809","https://openalex.org/W2118690642","https://openalex.org/W2119124855","https://openalex.org/W2121756139","https://openalex.org/W2124757684","https://openalex.org/W2124993522","https://openalex.org/W2128131274","https://openalex.org/W2128502185","https://openalex.org/W2128917116","https://openalex.org/W2128970593","https://openalex.org/W2129814801","https://openalex.org/W2130989868","https://openalex.org/W2140592340","https://openalex.org/W2141427791","https://openalex.org/W2143643945","https://openalex.org/W2143791524","https://openalex.org/W2150384167","https://openalex.org/W2155606012","https://openalex.org/W2159956319","https://openalex.org/W2168221202","https://openalex.org/W2171321863","https://openalex.org/W2540419083","https://openalex.org/W3145321633","https://openalex.org/W4205778870","https://openalex.org/W4285719527","https://openalex.org/W6607321455","https://openalex.org/W6676293297","https://openalex.org/W6681126137"],"related_works":["https://openalex.org/W2380293945","https://openalex.org/W1500522817","https://openalex.org/W1974812937","https://openalex.org/W3095239554","https://openalex.org/W3212409750","https://openalex.org/W4387088887","https://openalex.org/W1972023576","https://openalex.org/W2072053180","https://openalex.org/W1541088746","https://openalex.org/W4319862450"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"show":[4],"that":[5],"minimization":[6],"of":[7,35,77,100,108,126,134,157,162,168,183,192,199],"the":[8,26,33,43,75,97,106,116,118,124,132,136,139,155,160,171,184,190,193,200],"statistical":[9],"dependence":[10],"using":[11],"broadband":[12,111],"independent":[13],"component":[14],"analysis":[15],"(ICA)":[16],"can":[17,150],"be":[18,129,151],"successfully":[19],"exploited":[20],"for":[21,32,115,211,226],"acoustic":[22],"source":[23],"localization.":[24],"As":[25],"ICA":[27,44,112,172],"signal":[28,62],"model":[29],"inherently":[30],"accounts":[31],"presence":[34,76],"several":[36],"sources":[37,82,127,158,218],"and":[38,60,83,144,208,214],"multiple":[39,78],"sound":[40,81],"propagation":[41],"paths,":[42],"criterion":[45],"offers":[46],"a":[47,109,180],"theoretically":[48],"more":[49],"rigorous":[50],"framework":[51],"than":[52],"conventional":[53],"techniques":[54],"based":[55],"on":[56],"an":[57],"idealized":[58],"single-path":[59],"single-source":[61],"model.":[63],"This":[64],"leads":[65],"to":[66,95,131,187],"algorithms":[67],"which":[68],"outperform":[69],"other":[70,137],"localization":[71],"methods,":[72,138],"especially":[73],"in":[74,88,105,175,205],"simultaneously":[79],"active":[80],"under":[84],"adverse":[85],"conditions,":[86],"notably":[87],"reverberant":[89,209],"environments.":[90],"Three":[91],"methods":[92],"are":[93],"investigated":[94],"extract":[96],"time":[98],"difference":[99],"arrival":[101],"(TDOA)":[102],"information":[103],"contained":[104],"filters":[107],"two-channel":[110],"scheme.":[113],"While":[114],"first,":[117],"blind":[119],"system":[120],"identification":[121],"(BSI)":[122],"approach,":[123],"number":[125,133,156,161],"should":[128],"restricted":[130],"sensors,":[135],"averaged":[140],"directivity":[141],"pattern":[142],"(ADP)":[143],"composite":[145],"mapped":[146],"filter":[147],"(CMF)":[148],"approaches":[149],"used":[152],"even":[153],"when":[154],"exceeds":[159],"sensors.":[163],"To":[164],"allow":[165],"fast":[166],"tracking":[167],"moving":[169,227],"sources,":[170],"algorithm":[173],"operates":[174],"block-wise":[176],"batch":[177],"mode,":[178],"with":[179,219],"proportionate":[181],"weighting":[182],"natural":[185],"gradient":[186],"speed":[188],"up":[189],"convergence":[191],"algorithm.":[194],"The":[195],"TDOA":[196],"estimation":[197],"accuracy":[198],"proposed":[201],"schemes":[202],"is":[203],"assessed":[204],"highly":[206],"noisy":[207],"environments":[210],"two,":[212],"three,":[213],"four":[215],"stationary":[216],"noise":[217],"speech-weighted":[220],"spectral":[221],"envelopes":[222],"as":[223,225],"well":[224],"real":[228],"speech":[229],"sources.":[230]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":12},{"year":2018,"cited_by_count":13},{"year":2017,"cited_by_count":8},{"year":2016,"cited_by_count":8},{"year":2015,"cited_by_count":12},{"year":2014,"cited_by_count":7},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":6}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}