{"id":"https://openalex.org/W3200844443","doi":"https://doi.org/10.1109/icassp43922.2022.9746637","title":"Deep Augmented Music Algorithm for Data-Driven Doa Estimation","display_name":"Deep Augmented Music Algorithm for Data-Driven Doa Estimation","publication_year":2022,"publication_date":"2022-04-27","ids":{"openalex":"https://openalex.org/W3200844443","doi":"https://doi.org/10.1109/icassp43922.2022.9746637","mag":"3200844443"},"language":"en","primary_location":{"id":"doi:10.1109/icassp43922.2022.9746637","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp43922.2022.9746637","pdf_url":null,"source":{"id":"https://openalex.org/S4363607702","display_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5088882193","display_name":"Julian P. Merkofer","orcid":"https://orcid.org/0000-0003-2924-5055"},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":true,"raw_author_name":"Julian P. Merkofer","raw_affiliation_strings":["ETH Zurich,D-Itet,Switzerland","D-Itet, ETH Zurich, Switzerland"],"affiliations":[{"raw_affiliation_string":"ETH Zurich,D-Itet,Switzerland","institution_ids":["https://openalex.org/I35440088"]},{"raw_affiliation_string":"D-Itet, ETH Zurich, Switzerland","institution_ids":["https://openalex.org/I35440088"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027652422","display_name":"Guy Revach","orcid":"https://orcid.org/0000-0002-1549-0298"},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Guy Revach","raw_affiliation_strings":["ETH Zurich,D-Itet,Switzerland","D-Itet, ETH Zurich, Switzerland"],"affiliations":[{"raw_affiliation_string":"ETH Zurich,D-Itet,Switzerland","institution_ids":["https://openalex.org/I35440088"]},{"raw_affiliation_string":"D-Itet, ETH Zurich, Switzerland","institution_ids":["https://openalex.org/I35440088"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012405763","display_name":"Nir Shlezinger","orcid":"https://orcid.org/0000-0003-2234-929X"},"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":"Nir Shlezinger","raw_affiliation_strings":["Ben-Gurion University of the Negev,School of ECE,Beer Sheva,Israel","School of ECE, Ben-Gurion University of the Negev, Beer Sheva, Israel"],"affiliations":[{"raw_affiliation_string":"Ben-Gurion University of the Negev,School of ECE,Beer Sheva,Israel","institution_ids":["https://openalex.org/I124227911"]},{"raw_affiliation_string":"School of ECE, Ben-Gurion University of the Negev, Beer Sheva, Israel","institution_ids":["https://openalex.org/I124227911"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042985821","display_name":"Ruud J. G. van Sloun","orcid":"https://orcid.org/0000-0003-2845-0495"},"institutions":[{"id":"https://openalex.org/I83019370","display_name":"Eindhoven University of Technology","ror":"https://ror.org/02c2kyt77","country_code":"NL","type":"education","lineage":["https://openalex.org/I83019370"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Ruud J. G. van Sloun","raw_affiliation_strings":["Eindhoven University of Technology,Phillips Research,EE Dpt.,Eindhoven,The Netherlands","EE Dpt., Phillips Research, Eindhoven University of Technology, Eindhoven, The Netherlands"],"affiliations":[{"raw_affiliation_string":"Eindhoven University of Technology,Phillips Research,EE Dpt.,Eindhoven,The Netherlands","institution_ids":["https://openalex.org/I83019370"]},{"raw_affiliation_string":"EE Dpt., Phillips Research, Eindhoven University of Technology, Eindhoven, The Netherlands","institution_ids":["https://openalex.org/I83019370"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5088882193"],"corresponding_institution_ids":["https://openalex.org/I35440088"],"apc_list":null,"apc_paid":null,"fwci":5.0008,"has_fulltext":false,"cited_by_count":44,"citation_normalized_percentile":{"value":0.96693955,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"3598","last_page":"3602"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.9998000264167786,"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/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.9998000264167786,"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":0.9997000098228455,"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/T11698","display_name":"Underwater Acoustics Research","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7418519258499146},{"id":"https://openalex.org/keywords/multiple-signal-classification","display_name":"Multiple signal classification","score":0.6938676834106445},{"id":"https://openalex.org/keywords/direction-of-arrival","display_name":"Direction of arrival","score":0.6047055721282959},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5977523326873779},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5459595322608948},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.49087315797805786},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4690048396587372},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4436380863189697},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.4389796555042267},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.4168156683444977},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3751903772354126},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36976367235183716},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.08482670783996582},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08427375555038452},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07476809620857239}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7418519258499146},{"id":"https://openalex.org/C206118826","wikidata":"https://www.wikidata.org/wiki/Q3841682","display_name":"Multiple signal classification","level":3,"score":0.6938676834106445},{"id":"https://openalex.org/C172051844","wikidata":"https://www.wikidata.org/wiki/Q5280438","display_name":"Direction of arrival","level":3,"score":0.6047055721282959},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5977523326873779},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5459595322608948},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.49087315797805786},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4690048396587372},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4436380863189697},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.4389796555042267},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.4168156683444977},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3751903772354126},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36976367235183716},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.08482670783996582},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08427375555038452},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07476809620857239},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"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/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/icassp43922.2022.9746637","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp43922.2022.9746637","pdf_url":null,"source":{"id":"https://openalex.org/S4363607702","display_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.tue.nl:openaire_cris_publications/d2fa095a-9883-4989-b6cf-f840d3bd70b3","is_oa":false,"landing_page_url":"https://research.tue.nl/en/publications/d2fa095a-9883-4989-b6cf-f840d3bd70b3","pdf_url":null,"source":{"id":"https://openalex.org/S4406922641","display_name":"TU/e Research Portal","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Merkofer, J P, Revach, G, Shlezinger, N & van Sloun, R J G 2022, Deep Augmented MUSIC Algorithm for Data-Driven DoA Estimation. in 2022 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2022 - Proceedings., 9746637, Institute of Electrical and Electronics Engineers, pp. 3598-3602, 2022 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2022, Singapore, Singapore, 23/05/22. https://doi.org/10.1109/ICASSP43922.2022.9746637","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:pure.tue.nl:publications/d2fa095a-9883-4989-b6cf-f840d3bd70b3","is_oa":false,"landing_page_url":"http://www.scopus.com/inward/record.url?scp=85131259278&partnerID=8YFLogxK","pdf_url":null,"source":{"id":"https://openalex.org/S4406922641","display_name":"TU/e Research Portal","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Merkofer, J P, Revach, G, Shlezinger, N & van Sloun, R J G 2022, Deep Augmented MUSIC Algorithm for Data-Driven DoA Estimation. in 2022 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2022 - Proceedings., 9746637, Institute of Electrical and Electronics Engineers, pp. 3598-3602, 2022 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2022, Singapore, Singapore, 23/05/22. https://doi.org/10.1109/ICASSP43922.2022.9746637","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:tue:oai:pure.tue.nl:publications/d2fa095a-9883-4989-b6cf-f840d3bd70b3","is_oa":false,"landing_page_url":"https://research.tue.nl/nl/publications/d2fa095a-9883-4989-b6cf-f840d3bd70b3","pdf_url":null,"source":{"id":"https://openalex.org/S4306401843","display_name":"Data Archiving and Networked Services (DANS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1322597698","host_organization_name":"Royal Netherlands Academy of Arts and Sciences","host_organization_lineage":["https://openalex.org/I1322597698"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2022 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2022 - Proceedings, 3598 - 3602","raw_type":"info:eu-repo/semantics/conferencepaper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1533861849","https://openalex.org/W1983321307","https://openalex.org/W2039965957","https://openalex.org/W2066218102","https://openalex.org/W2080515327","https://openalex.org/W2113638573","https://openalex.org/W2119453052","https://openalex.org/W2885219692","https://openalex.org/W2897361856","https://openalex.org/W2901757263","https://openalex.org/W2972675027","https://openalex.org/W2996722594","https://openalex.org/W3099449105","https://openalex.org/W3112170415","https://openalex.org/W3154017625","https://openalex.org/W4295677899","https://openalex.org/W4300913334","https://openalex.org/W6631190155","https://openalex.org/W6631943919","https://openalex.org/W6756963044","https://openalex.org/W6787161265"],"related_works":["https://openalex.org/W2169576905","https://openalex.org/W4235717850","https://openalex.org/W4383333931","https://openalex.org/W3041376971","https://openalex.org/W2074954788","https://openalex.org/W4319978628","https://openalex.org/W2174115052","https://openalex.org/W3152834843","https://openalex.org/W2076554046","https://openalex.org/W2105834977"],"abstract_inverted_index":{"Direction":[0],"of":[1,54,70],"arrival":[2],"(DoA)":[3],"estimation":[4,38],"is":[5,89],"a":[6,33,97],"crucial":[7,52],"task":[8],"in":[9],"sensor":[10],"array":[11],"signal":[12,45],"processing,":[13],"giving":[14],"rise":[15],"to":[16,66,79,91],"various":[17],"successful":[18],"model-based":[19],"(MB)":[20],"algorithms":[21],"as":[22,24,76],"well":[23],"recently":[25],"developed":[26],"data-driven":[27],"(DD)":[28],"methods.":[29],"This":[30],"paper":[31],"introduces":[32],"new":[34],"hybrid":[35],"MB/DD":[36],"DoA":[37],"architecture,":[39],"based":[40],"on":[41],"the":[42,55,71],"classical":[43],"multiple":[44],"classification":[46],"(MUSIC)":[47],"algorithm.":[48],"Our":[49],"approach":[50],"augments":[51],"aspects":[53],"original":[56],"MUSIC":[57,87],"structure":[58],"with":[59,96],"specifically":[60],"designed":[61],"neural":[62],"architectures,":[63],"allowing":[64],"it":[65],"overcome":[67],"certain":[68],"limitations":[69],"purely":[72],"MB":[73],"method,":[74],"such":[75],"its":[77,93],"inability":[78],"successfully":[80],"localize":[81],"coherent":[82],"sources.":[83],"The":[84],"deep":[85],"augmented":[86],"algorithm":[88],"shown":[90],"outperform":[92],"unaltered":[94],"version":[95],"superior":[98],"resolution.":[99]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":13},{"year":2023,"cited_by_count":14},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-03-28T08:17:26.163206","created_date":"2025-10-10T00:00:00"}