{"id":"https://openalex.org/W2605834669","doi":"https://doi.org/10.1109/hscma.2017.7895569","title":"Towards acoustically robust localization of speakers in a reverberant environment","display_name":"Towards acoustically robust localization of speakers in a reverberant environment","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2605834669","doi":"https://doi.org/10.1109/hscma.2017.7895569","mag":"2605834669"},"language":"en","primary_location":{"id":"doi:10.1109/hscma.2017.7895569","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hscma.2017.7895569","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 Hands-free Speech Communications and Microphone Arrays (HSCMA)","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/A5019518606","display_name":"Boaz Rafaely","orcid":"https://orcid.org/0000-0002-6819-9250"},"institutions":[{"id":"https://openalex.org/I124227911","display_name":"Ben-Gurion University of the Negev","ror":"https://ror.org/05tkyf982","country_code":"IL","type":"education","lineage":["https://openalex.org/I124227911"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Boaz Rafaely","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Ben-Gurion University of the Negev, Beer-Sheva, Israel"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Ben-Gurion University of the Negev, Beer-Sheva, Israel","institution_ids":["https://openalex.org/I124227911"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007017640","display_name":"Dorothea Kolossa","orcid":"https://orcid.org/0000-0003-0678-3053"},"institutions":[{"id":"https://openalex.org/I904495901","display_name":"Ruhr University Bochum","ror":"https://ror.org/04tsk2644","country_code":"DE","type":"education","lineage":["https://openalex.org/I904495901"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Dorothea Kolossa","raw_affiliation_strings":["Department of Electrical Engineering and Information Technology, Ruhr-Universit\u00e4t Bochum, Bochum, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Information Technology, Ruhr-Universit\u00e4t Bochum, Bochum, Germany","institution_ids":["https://openalex.org/I904495901"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001656267","display_name":"Yanir Maymon","orcid":"https://orcid.org/0009-0008-3083-7588"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yanir Maymon","raw_affiliation_strings":["Ben-Gurion University of the Negev, Beer-Sheva, Southern, IL"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ben-Gurion University of the Negev, Beer-Sheva, Southern, IL","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.3073,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.81172376,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"96","last_page":"100"},"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":0.9969000220298767,"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/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.9944000244140625,"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/reverberation","display_name":"Reverberation","score":0.8469953536987305},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.705411970615387},{"id":"https://openalex.org/keywords/direction-of-arrival","display_name":"Direction of arrival","score":0.6700993180274963},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6155357360839844},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6127119064331055},{"id":"https://openalex.org/keywords/microphone","display_name":"Microphone","score":0.5831518769264221},{"id":"https://openalex.org/keywords/mixture-model","display_name":"Mixture model","score":0.5718216896057129},{"id":"https://openalex.org/keywords/microphone-array","display_name":"Microphone array","score":0.5441596508026123},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.524043619632721},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4753420352935791},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.4162783920764923},{"id":"https://openalex.org/keywords/time\u2013frequency-analysis","display_name":"Time\u2013frequency analysis","score":0.41583722829818726},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.41268688440322876},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3334597945213318},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32647019624710083},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.17983683943748474},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09375032782554626},{"id":"https://openalex.org/keywords/sound-pressure","display_name":"Sound pressure","score":0.07933366298675537},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.07316228747367859}],"concepts":[{"id":"https://openalex.org/C95851461","wikidata":"https://www.wikidata.org/wiki/Q468809","display_name":"Reverberation","level":2,"score":0.8469953536987305},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.705411970615387},{"id":"https://openalex.org/C172051844","wikidata":"https://www.wikidata.org/wiki/Q5280438","display_name":"Direction of arrival","level":3,"score":0.6700993180274963},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6155357360839844},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6127119064331055},{"id":"https://openalex.org/C2778263558","wikidata":"https://www.wikidata.org/wiki/Q46384","display_name":"Microphone","level":3,"score":0.5831518769264221},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.5718216896057129},{"id":"https://openalex.org/C2778806681","wikidata":"https://www.wikidata.org/wiki/Q907293","display_name":"Microphone array","level":4,"score":0.5441596508026123},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.524043619632721},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4753420352935791},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.4162783920764923},{"id":"https://openalex.org/C142433447","wikidata":"https://www.wikidata.org/wiki/Q7806653","display_name":"Time\u2013frequency analysis","level":3,"score":0.41583722829818726},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.41268688440322876},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3334597945213318},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32647019624710083},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.17983683943748474},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09375032782554626},{"id":"https://openalex.org/C68115822","wikidata":"https://www.wikidata.org/wiki/Q1068172","display_name":"Sound pressure","level":2,"score":0.07933366298675537},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.07316228747367859},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C21822782","wikidata":"https://www.wikidata.org/wiki/Q131214","display_name":"Antenna (radio)","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/hscma.2017.7895569","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hscma.2017.7895569","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 Hands-free Speech Communications and Microphone Arrays (HSCMA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.6299999952316284,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W278097168","https://openalex.org/W1964998538","https://openalex.org/W1966081805","https://openalex.org/W2059053466","https://openalex.org/W2060108923","https://openalex.org/W2061074721","https://openalex.org/W2104422351","https://openalex.org/W2113638573","https://openalex.org/W2117678320","https://openalex.org/W2152632507","https://openalex.org/W2161495957","https://openalex.org/W2170393302","https://openalex.org/W2488678869","https://openalex.org/W2494085323","https://openalex.org/W2672714283","https://openalex.org/W3127686677"],"related_works":["https://openalex.org/W4389082013","https://openalex.org/W2787115139","https://openalex.org/W2898655231","https://openalex.org/W2105446696","https://openalex.org/W2111794983","https://openalex.org/W4206220350","https://openalex.org/W2103419803","https://openalex.org/W1940685055","https://openalex.org/W1606167728","https://openalex.org/W4312120798"],"abstract_inverted_index":{"Direction-of-arrival":[0],"(DoA)":[1],"estimation":[2,31,153],"of":[3,74,119,130,149],"a":[4,7,28,101,107],"speaker":[5],"in":[6,16,20,25,123,146],"room":[8],"using":[9],"microphone":[10],"arrays":[11,36],"is":[12,110],"an":[13],"important":[14],"task":[15],"audio":[17],"signal":[18,56],"processing":[19],"general,":[21],"and":[22,60],"robot":[23],"audition":[24],"particular.":[26],"Recently,":[27],"novel":[29,108],"DoA":[30,66,87,152],"method":[32,48],"developed":[33],"for":[34,65],"spherical":[35],"presented":[37,111,141],"accurate":[38],"performance":[39,90],"even":[40],"under":[41,93,154],"real-world":[42],"conditions":[43],"with":[44],"strong":[45,155],"reverberation.":[46,156],"The":[47,139],"identifies":[49],"time-frequency":[50],"bins":[51,64],"dominated":[52],"by":[53,78],"the":[54,58,72,86,116,120,124,128,131,135,147],"direct":[55,136],"from":[57],"source,":[59],"employs":[61],"only":[62],"these":[63],"estimation.":[67],"A":[68],"recent":[69],"extension":[70],"allowed":[71],"use":[73],"shorter":[75],"time":[76],"frames":[77],"employing":[79],"Gaussian":[80,132],"mixture":[81],"model":[82],"based":[83],"clustering":[84],"to":[85,100,134],"statistics.":[88],"However,":[89],"still":[91],"degrades":[92],"challenging":[94],"acoustical":[95],"conditions,":[96],"such":[97],"as":[98],"close":[99],"reflecting":[102],"surface.":[103],"In":[104],"this":[105],"paper,":[106],"analysis":[109],"that":[112],"provides":[113],"insight":[114],"into":[115],"acoustic":[117],"significance":[118],"individual":[121],"Gaussians":[122],"mixture,":[125],"clearly":[126],"showing":[127],"distinctiveness":[129],"corresponding":[133],"path":[137],"signal.":[138],"results":[140],"here":[142],"can":[143],"be":[144],"employed":[145],"design":[148],"acoustically":[150],"robust":[151]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":5}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}