{"id":"https://openalex.org/W4297277729","doi":"https://doi.org/10.1109/iwaenc53105.2022.9914747","title":"Deep Complex-Valued Convolutional-Recurrent Networks for Single Source DOA Estimation","display_name":"Deep Complex-Valued Convolutional-Recurrent Networks for Single Source DOA Estimation","publication_year":2022,"publication_date":"2022-09-05","ids":{"openalex":"https://openalex.org/W4297277729","doi":"https://doi.org/10.1109/iwaenc53105.2022.9914747"},"language":"en","primary_location":{"id":"doi:10.1109/iwaenc53105.2022.9914747","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwaenc53105.2022.9914747","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Workshop on Acoustic Signal Enhancement (IWAENC)","raw_type":"proceedings-article"},"type":"preprint","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/A5011673214","display_name":"Eric Grinstein","orcid":"https://orcid.org/0000-0003-4502-5407"},"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":true,"raw_author_name":"Eric Grinstein","raw_affiliation_strings":["Imperial College London,Department of Electrical and Electronic Engineering,U.K","Department of Electrical and Electronic Engineering, Imperial College London, U.K"],"affiliations":[{"raw_affiliation_string":"Imperial College London,Department of Electrical and Electronic Engineering,U.K","institution_ids":["https://openalex.org/I47508984"]},{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Imperial College London, U.K","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016227729","display_name":"Patrick A. Naylor","orcid":"https://orcid.org/0000-0001-8546-8013"},"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":"Patrick A. Naylor","raw_affiliation_strings":["Imperial College London,Department of Electrical and Electronic Engineering,U.K","Department of Electrical and Electronic Engineering, Imperial College London, U.K"],"affiliations":[{"raw_affiliation_string":"Imperial College London,Department of Electrical and Electronic Engineering,U.K","institution_ids":["https://openalex.org/I47508984"]},{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Imperial College London, U.K","institution_ids":["https://openalex.org/I47508984"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5011673214"],"corresponding_institution_ids":["https://openalex.org/I47508984"],"apc_list":null,"apc_paid":null,"fwci":1.16974372,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.72614945,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"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/T11309","display_name":"Music and Audio Processing","score":0.9994000196456909,"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/T10822","display_name":"Acoustic Wave Phenomena Research","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/computer-science","display_name":"Computer science","score":0.8026871681213379},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6609763503074646},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5745773315429688},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5605430603027344},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.5440541505813599},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5179330706596375},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.4845115542411804},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.47676926851272583},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.46478959918022156},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42335301637649536},{"id":"https://openalex.org/keywords/direction-of-arrival","display_name":"Direction of arrival","score":0.4180176854133606},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.38688990473747253},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.357761025428772},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35693642497062683},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.10477933287620544},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09252926707267761},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07626950740814209}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8026871681213379},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6609763503074646},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5745773315429688},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5605430603027344},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.5440541505813599},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5179330706596375},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.4845115542411804},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.47676926851272583},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.46478959918022156},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42335301637649536},{"id":"https://openalex.org/C172051844","wikidata":"https://www.wikidata.org/wiki/Q5280438","display_name":"Direction of arrival","level":3,"score":0.4180176854133606},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.38688990473747253},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.357761025428772},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35693642497062683},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.10477933287620544},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09252926707267761},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07626950740814209},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iwaenc53105.2022.9914747","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwaenc53105.2022.9914747","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Workshop on Acoustic Signal Enhancement (IWAENC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W2024897398","https://openalex.org/W2047515252","https://openalex.org/W2090020898","https://openalex.org/W2124348301","https://openalex.org/W2476841360","https://openalex.org/W2592109325","https://openalex.org/W2611943505","https://openalex.org/W2701869962","https://openalex.org/W2772736377","https://openalex.org/W2917254586","https://openalex.org/W2948091552","https://openalex.org/W2964342924","https://openalex.org/W2982382207","https://openalex.org/W3096287167","https://openalex.org/W3096408984","https://openalex.org/W3104757150","https://openalex.org/W3105684258","https://openalex.org/W3117312351","https://openalex.org/W3167256084","https://openalex.org/W3197097128","https://openalex.org/W4249052411","https://openalex.org/W6631190155","https://openalex.org/W6638667902","https://openalex.org/W6640212811","https://openalex.org/W6678738811","https://openalex.org/W6738884980","https://openalex.org/W6766978945","https://openalex.org/W6800971888"],"related_works":["https://openalex.org/W4225394202","https://openalex.org/W4298287631","https://openalex.org/W2953061907","https://openalex.org/W1847088711","https://openalex.org/W3036642985","https://openalex.org/W3032952384","https://openalex.org/W3017902212","https://openalex.org/W2964335273","https://openalex.org/W2982145560","https://openalex.org/W2969450769"],"abstract_inverted_index":{"Despite":[0],"having":[1],"conceptual":[2],"and":[3,51,98],"practical":[4],"advantages,":[5],"Complex-Valued":[6],"Neural":[7,33],"Networkss":[8],"(CVNNs)":[9],"have":[10],"been":[11],"much":[12],"less":[13],"explored":[14],"for":[15,36,101],"audio":[16],"signal":[17],"processing":[18],"tasks":[19],"than":[20],"their":[21],"real-valued":[22,70],"counterparts.":[23],"We":[24,85],"investigate":[25],"the":[26,58,90],"use":[27],"of":[28,40,76,83,89],"a":[29,41,69],"complex-valued":[30,91],"Convolutional":[31],"Recurrent":[32],"Network":[34],"(CRNN)":[35],"Direction-of-Arrival":[37],"(DOA)":[38],"estimation":[39,77],"single":[42],"sound":[43],"source":[44],"on":[45],"an":[46],"enclosed":[47],"room.":[48],"By":[49],"training":[50],"testing":[52],"our":[53,64,96],"model":[54],"with":[55],"recordings":[56],"from":[57],"DCASE":[59],"2019":[60],"dataset,":[61],"we":[62],"show":[63,87],"architecture":[65],"compares":[66],"favourably":[67],"to":[68],"CRNN":[71],"counter-part":[72],"both":[73],"in":[74],"terms":[75],"error":[78],"as":[79,81],"well":[80],"speed":[82],"convergence.":[84],"also":[86],"visualizations":[88],"feature":[92],"representations":[93],"learned":[94],"by":[95],"method":[97],"provide":[99],"interpretations":[100],"them.":[102]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
