{"id":"https://openalex.org/W2905517431","doi":"https://doi.org/10.1109/lsp.2019.2908376","title":"Tracking Multiple Audio Sources With the von Mises Distribution and Variational EM","display_name":"Tracking Multiple Audio Sources With the von Mises Distribution and Variational EM","publication_year":2019,"publication_date":"2019-03-29","ids":{"openalex":"https://openalex.org/W2905517431","doi":"https://doi.org/10.1109/lsp.2019.2908376","mag":"2905517431"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2019.2908376","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2019.2908376","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1812.08246","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Yutong Ban","orcid":"https://orcid.org/0000-0001-5396-9251"},"institutions":[{"id":"https://openalex.org/I4210101348","display_name":"Centre Inria de l'Universit\u00e9 Grenoble Alpes","ror":"https://ror.org/00n8d6z93","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1326498283","https://openalex.org/I4210101348"]},{"id":"https://openalex.org/I899635006","display_name":"Universit\u00e9 Grenoble Alpes","ror":"https://ror.org/02rx3b187","country_code":"FR","type":"education","lineage":["https://openalex.org/I899635006"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Yutong Ban","raw_affiliation_strings":["Inria Grenoble Rh\u00f4ne-Alpes, Montbonnot Saint-Martin, France"],"raw_orcid":"https://orcid.org/0000-0001-5396-9251","affiliations":[{"raw_affiliation_string":"Inria Grenoble Rh\u00f4ne-Alpes, Montbonnot Saint-Martin, France","institution_ids":["https://openalex.org/I4210101348","https://openalex.org/I899635006"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Xavier Alameda-Pineda","orcid":"https://orcid.org/0000-0002-5354-1084"},"institutions":[{"id":"https://openalex.org/I4210101348","display_name":"Centre Inria de l'Universit\u00e9 Grenoble Alpes","ror":"https://ror.org/00n8d6z93","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1326498283","https://openalex.org/I4210101348"]},{"id":"https://openalex.org/I899635006","display_name":"Universit\u00e9 Grenoble Alpes","ror":"https://ror.org/02rx3b187","country_code":"FR","type":"education","lineage":["https://openalex.org/I899635006"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Xavier Alameda-Pineda","raw_affiliation_strings":["Inria Grenoble Rh\u00f4ne-Alpes, Montbonnot Saint-Martin, France"],"raw_orcid":"https://orcid.org/0000-0002-5354-1084","affiliations":[{"raw_affiliation_string":"Inria Grenoble Rh\u00f4ne-Alpes, Montbonnot Saint-Martin, France","institution_ids":["https://openalex.org/I4210101348","https://openalex.org/I899635006"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Christine Evers","orcid":"https://orcid.org/0000-0003-0757-5504"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Christine Evers","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, Imperial College London, London, U.K"],"raw_orcid":"https://orcid.org/0000-0003-0757-5504","affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Imperial College London, London, U.K","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"last","author":{"id":null,"display_name":"Radu Horaud","orcid":"https://orcid.org/0000-0001-5232-024X"},"institutions":[{"id":"https://openalex.org/I4210101348","display_name":"Centre Inria de l'Universit\u00e9 Grenoble Alpes","ror":"https://ror.org/00n8d6z93","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1326498283","https://openalex.org/I4210101348"]},{"id":"https://openalex.org/I899635006","display_name":"Universit\u00e9 Grenoble Alpes","ror":"https://ror.org/02rx3b187","country_code":"FR","type":"education","lineage":["https://openalex.org/I899635006"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Radu Horaud","raw_affiliation_strings":["Inria Grenoble Rh\u00f4ne-Alpes, Montbonnot Saint-Martin, France"],"raw_orcid":"https://orcid.org/0000-0001-5232-024X","affiliations":[{"raw_affiliation_string":"Inria Grenoble Rh\u00f4ne-Alpes, Montbonnot Saint-Martin, France","institution_ids":["https://openalex.org/I4210101348","https://openalex.org/I899635006"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.8578,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.85746008,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"26","issue":"6","first_page":"798","last_page":"802"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9258000254631042,"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":0.9258000254631042,"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/T11309","display_name":"Music and Audio Processing","score":0.04820000007748604,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.003599999938160181,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/von-mises-distribution","display_name":"von Mises distribution","score":0.6037999987602234},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5726000070571899},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.5422000288963318},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.4099999964237213},{"id":"https://openalex.org/keywords/microphone","display_name":"Microphone","score":0.40389999747276306},{"id":"https://openalex.org/keywords/distribution","display_name":"Distribution (mathematics)","score":0.4007999897003174},{"id":"https://openalex.org/keywords/microphone-array","display_name":"Microphone array","score":0.39309999346733093},{"id":"https://openalex.org/keywords/approximation-algorithm","display_name":"Approximation algorithm","score":0.3643999993801117},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.3336000144481659}],"concepts":[{"id":"https://openalex.org/C198138136","wikidata":"https://www.wikidata.org/wiki/Q7941490","display_name":"von Mises distribution","level":4,"score":0.6037999987602234},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5726000070571899},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.5422000288963318},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.53329998254776},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5083000063896179},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4099999964237213},{"id":"https://openalex.org/C2778263558","wikidata":"https://www.wikidata.org/wiki/Q46384","display_name":"Microphone","level":3,"score":0.40389999747276306},{"id":"https://openalex.org/C110121322","wikidata":"https://www.wikidata.org/wiki/Q865811","display_name":"Distribution (mathematics)","level":2,"score":0.4007999897003174},{"id":"https://openalex.org/C2778806681","wikidata":"https://www.wikidata.org/wiki/Q907293","display_name":"Microphone array","level":4,"score":0.39309999346733093},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3864000141620636},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.36570000648498535},{"id":"https://openalex.org/C148764684","wikidata":"https://www.wikidata.org/wiki/Q621751","display_name":"Approximation algorithm","level":2,"score":0.3643999993801117},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.3336000144481659},{"id":"https://openalex.org/C122123141","wikidata":"https://www.wikidata.org/wiki/Q176623","display_name":"Random variable","level":2,"score":0.3287000060081482},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.32100000977516174},{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.3174999952316284},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.31439998745918274},{"id":"https://openalex.org/C149441793","wikidata":"https://www.wikidata.org/wiki/Q200726","display_name":"Probability distribution","level":2,"score":0.31360000371932983},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.3070000112056732},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2989000082015991},{"id":"https://openalex.org/C155165730","wikidata":"https://www.wikidata.org/wiki/Q1319519","display_name":"von Mises yield criterion","level":3,"score":0.28110000491142273},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.27790001034736633},{"id":"https://openalex.org/C8272713","wikidata":"https://www.wikidata.org/wiki/Q176737","display_name":"Stochastic process","level":2,"score":0.27619999647140503},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.2754000127315521},{"id":"https://openalex.org/C127220857","wikidata":"https://www.wikidata.org/wiki/Q2719318","display_name":"Audio signal processing","level":4,"score":0.2718999981880188},{"id":"https://openalex.org/C51167844","wikidata":"https://www.wikidata.org/wiki/Q4422623","display_name":"Latent variable","level":2,"score":0.2646999955177307},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.25679999589920044}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/lsp.2019.2908376","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2019.2908376","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:1812.08246","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1812.08246","pdf_url":"https://arxiv.org/pdf/1812.08246","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:HAL:hal-01969050v1","is_oa":true,"landing_page_url":"https://inria.hal.science/hal-01969050","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Signal Processing Letters, 2019, 26 (6), pp.798 - 802. ⟨10.1109/LSP.2019.2908376⟩","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:eprints.soton.ac.uk:438595","is_oa":false,"landing_page_url":"https://eprints.soton.ac.uk/438595/","pdf_url":null,"source":{"id":"https://openalex.org/S4306401019","display_name":"ePrints Soton (University of Southampton)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I43439940","host_organization_name":"University of Southampton","host_organization_lineage":["https://openalex.org/I43439940"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"},{"id":"pmh:oai:spiral.imperial.ac.uk:10044/1/68418","is_oa":false,"landing_page_url":"http://hdl.handle.net/10044/1/68418","pdf_url":null,"source":{"id":"https://openalex.org/S4306401396","display_name":"Spiral (Imperial College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I47508984","host_organization_name":"Imperial College London","host_organization_lineage":["https://openalex.org/I47508984"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"802","raw_type":"Journal Article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1812.08246","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1812.08246","pdf_url":"https://arxiv.org/pdf/1812.08246","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7870544646","display_name":null,"funder_award_id":"EP/P001017/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1488825527","https://openalex.org/W1648602279","https://openalex.org/W1978092817","https://openalex.org/W2014787937","https://openalex.org/W2044020847","https://openalex.org/W2077181616","https://openalex.org/W2090629256","https://openalex.org/W2097036989","https://openalex.org/W2103990233","https://openalex.org/W2105862065","https://openalex.org/W2107493093","https://openalex.org/W2137585588","https://openalex.org/W2167868656","https://openalex.org/W2479203597","https://openalex.org/W2552290276","https://openalex.org/W2807015669","https://openalex.org/W2809543295","https://openalex.org/W2888793942","https://openalex.org/W2893728996","https://openalex.org/W6754642183"],"related_works":[],"abstract_inverted_index":{"In":[0],"this":[1],"letter,":[2],"we":[3],"address":[4],"the":[5,15,31,57,75,110,124],"problem":[6,16],"of":[7,17,24,39,56,60,74,112],"simultaneously":[8],"tracking":[9],"several":[10],"moving":[11,131,135],"audio":[12],"sources,":[13],"namely":[14],"estimating":[18],"source":[19,101],"trajectories":[20,102],"from":[21],"a":[22,48,71,80,134,140],"sequence":[23],"observed":[25,62],"features.":[26],"We":[27,69,78,92,120],"propose":[28,70,93],"to":[29,35,47,108,116],"use":[30],"von":[32],"Mises":[33],"distribution":[34],"model":[36],"audio-source":[37,95],"directions":[38],"arrival":[40],"with":[41,64,123],"circular":[42],"random":[43],"variables.":[44],"This":[45],"leads":[46],"Bayesian":[49],"filtering":[50,76],"formulation,":[51],"which":[52,104],"is":[53,85,105],"intractable":[54],"because":[55],"combinatorial":[58],"explosion":[59],"associating":[61],"variables":[63],"latent":[65],"variables,":[66],"over":[67],"time.":[68],"variational":[72,81],"approximation":[73],"distribution.":[77],"infer":[79],"expectation-maximization":[82],"algorithm":[83],"that":[84,98],"both":[86,107],"computationally":[87],"tractable":[88],"and":[89,103,115,133],"time":[90],"efficient.":[91],"an":[94],"birth":[96],"method":[97],"favors":[99],"smooth":[100],"used":[106],"initialize":[109],"number":[111],"active":[113],"sources":[114,132],"detect":[117],"new":[118],"sources.":[119],"perform":[121],"experiments":[122],"recently":[125],"released":[126],"LOCATA":[127],"dataset":[128],"comprising":[129],"two":[130],"microphone":[136],"array":[137],"mounted":[138],"onto":[139],"robot.":[141]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":2}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2018-12-22T00:00:00"}