{"id":"https://openalex.org/W2035907845","doi":"https://doi.org/10.1109/robio.2011.6181740","title":"Localization and tracking for simultaneous speakers based on time-frequency method and Probability Hypothesis Density filter","display_name":"Localization and tracking for simultaneous speakers based on time-frequency method and Probability Hypothesis Density filter","publication_year":2011,"publication_date":"2011-12-01","ids":{"openalex":"https://openalex.org/W2035907845","doi":"https://doi.org/10.1109/robio.2011.6181740","mag":"2035907845"},"language":"en","primary_location":{"id":"doi:10.1109/robio.2011.6181740","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robio.2011.6181740","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Robotics and Biomimetics","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/A5091333725","display_name":"Quang H. Nguyen","orcid":"https://orcid.org/0000-0001-9080-4499"},"institutions":[{"id":"https://openalex.org/I58716616","display_name":"Korea Institute of Science and Technology","ror":"https://ror.org/05kzfa883","country_code":"KR","type":"facility","lineage":["https://openalex.org/I27494661","https://openalex.org/I2801339556","https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098","https://openalex.org/I4387152098","https://openalex.org/I58716616"]},{"id":"https://openalex.org/I88761825","display_name":"Korea University of Science and Technology","ror":"https://ror.org/000qzf213","country_code":"KR","type":"education","lineage":["https://openalex.org/I88761825"]},{"id":"https://openalex.org/I4210140519","display_name":"Korean Association Of Science and Technology Studies","ror":"https://ror.org/04qh86j58","country_code":"KR","type":"other","lineage":["https://openalex.org/I4210140519"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Quang Nguyen","raw_affiliation_strings":["Korea Institute of Science and Technology (KIST), University of Science and Technology, Seoul, South Korea","University of Science and Technology (UST) and Korea Institute of Science and Technology (KIST), Seoul, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Korea Institute of Science and Technology (KIST), University of Science and Technology, Seoul, South Korea","institution_ids":["https://openalex.org/I58716616","https://openalex.org/I88761825","https://openalex.org/I4210140519"]},{"raw_affiliation_string":"University of Science and Technology (UST) and Korea Institute of Science and Technology (KIST), Seoul, Republic of Korea","institution_ids":["https://openalex.org/I58716616"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052822694","display_name":"JongSuk Choi","orcid":"https://orcid.org/0000-0002-0399-4675"},"institutions":[{"id":"https://openalex.org/I58716616","display_name":"Korea Institute of Science and Technology","ror":"https://ror.org/05kzfa883","country_code":"KR","type":"facility","lineage":["https://openalex.org/I27494661","https://openalex.org/I2801339556","https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098","https://openalex.org/I4387152098","https://openalex.org/I58716616"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"JongSuk Choi","raw_affiliation_strings":["Korea Institute of Science and Technology, Seoul, South Korea","Korea Institute of Science and Technology (KIST), Seoul, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Korea Institute of Science and Technology, Seoul, South Korea","institution_ids":["https://openalex.org/I58716616"]},{"raw_affiliation_string":"Korea Institute of Science and Technology (KIST), Seoul, Republic of Korea","institution_ids":["https://openalex.org/I58716616"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5091333725"],"corresponding_institution_ids":["https://openalex.org/I4210140519","https://openalex.org/I58716616","https://openalex.org/I88761825"],"apc_list":null,"apc_paid":null,"fwci":0.3062,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.5340342,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"18","issue":null,"first_page":"2866","last_page":"2871"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.9984999895095825,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/clutter","display_name":"Clutter","score":0.8108552694320679},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7211958765983582},{"id":"https://openalex.org/keywords/particle-filter","display_name":"Particle filter","score":0.6320439577102661},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.6259692311286926},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5557116866111755},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.503903329372406},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5021209716796875},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5012836456298828},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.4817097783088684},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4744744598865509},{"id":"https://openalex.org/keywords/probability-density-function","display_name":"Probability density function","score":0.42050057649612427},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.34268152713775635},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.32491761445999146},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21090751886367798},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.09905043244361877},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07812166213989258}],"concepts":[{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.8108552694320679},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7211958765983582},{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.6320439577102661},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.6259692311286926},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5557116866111755},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.503903329372406},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5021209716796875},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5012836456298828},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.4817097783088684},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4744744598865509},{"id":"https://openalex.org/C197055811","wikidata":"https://www.wikidata.org/wiki/Q207522","display_name":"Probability density function","level":2,"score":0.42050057649612427},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34268152713775635},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.32491761445999146},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21090751886367798},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.09905043244361877},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07812166213989258},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/robio.2011.6181740","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robio.2011.6181740","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Robotics and Biomimetics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.5,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1483307070","https://openalex.org/W1527797054","https://openalex.org/W1557595030","https://openalex.org/W1965998977","https://openalex.org/W1987906574","https://openalex.org/W1996741252","https://openalex.org/W2014787937","https://openalex.org/W2024365188","https://openalex.org/W2046317813","https://openalex.org/W2061074721","https://openalex.org/W2063688916","https://openalex.org/W2093010905","https://openalex.org/W2100263869","https://openalex.org/W2113679114","https://openalex.org/W2126885789","https://openalex.org/W2129171989","https://openalex.org/W2129905273","https://openalex.org/W2137585588","https://openalex.org/W2145938889","https://openalex.org/W2167582467","https://openalex.org/W3022404379","https://openalex.org/W4233014035","https://openalex.org/W6633511732","https://openalex.org/W7054644888"],"related_works":["https://openalex.org/W2130674020","https://openalex.org/W2093748878","https://openalex.org/W2333771223","https://openalex.org/W2120056845","https://openalex.org/W1981531423","https://openalex.org/W4394861761","https://openalex.org/W1977371217","https://openalex.org/W2035264131","https://openalex.org/W1679012645","https://openalex.org/W2752301189"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"we":[3],"present":[4],"the":[5,57,69,88],"two":[6],"steps":[7],"system":[8],"of":[9,17,32,72,102],"localization":[10,21],"and":[11,35,52,96],"tracking":[12,65],"to":[13,38,67],"work":[14],"in":[15,43,99],"context":[16],"simultaneous":[18],"speakers.":[19],"The":[20,75],"algorithm":[22,66,95],"is":[23,97],"based":[24,64,94],"on":[25,79],"time-frequency":[26],"method":[27,86],"which":[28],"uses":[29],"an":[30],"array":[31],"three":[33],"microphones":[34],"it":[36],"enables":[37],"locate":[39],"multiple":[40],"sound":[41],"sources":[42],"a":[44],"single":[45],"time-frame.":[46],"Localization":[47],"results":[48],"with":[49],"missing":[50],"detection":[51],"clutter":[53],"are":[54],"post-processed":[55],"by":[56],"Probability":[58],"Hypothesis":[59],"Density":[60],"(PHD)":[61],"filter":[62,91],"-":[63,93],"estimate":[68],"smoothed":[70],"trajectory":[71],"each":[73],"speaker.":[74],"experiments":[76],"carried":[77],"out":[78],"real":[80],"data":[81],"recording":[82],"show":[83],"that":[84],"our":[85],"outperforms":[87],"multi-target":[89],"particle":[90],"(MTPF)":[92],"effective":[98],"practical":[100],"application":[101],"human-robot":[103],"interaction.":[104]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
