{"id":"https://openalex.org/W7164516369","doi":"https://doi.org/10.48550/arxiv.2606.13109","title":"Generating Training Targets for Real-World Speech Enhancement via Close-to-Distant Microphone Projection","display_name":"Generating Training Targets for Real-World Speech Enhancement via Close-to-Distant Microphone Projection","publication_year":2026,"publication_date":"2026-06-11","ids":{"openalex":"https://openalex.org/W7164516369","doi":"https://doi.org/10.48550/arxiv.2606.13109"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.13109","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.13109","pdf_url":null,"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":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2606.13109","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5138519283","display_name":"Tomohiro Nakatani","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nakatani, Tomohiro","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084590882","display_name":"Rintaro Ikeshita","orcid":"https://orcid.org/0000-0003-2608-1999"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ikeshita, Rintaro","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034382743","display_name":"Naoyuki Kamo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kamo, Naoyuki","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138541649","display_name":"Marc Delcroix","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Delcroix, Marc","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5009309584","display_name":"Shoko Araki","orcid":"https://orcid.org/0000-0003-4363-4305"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Araki, Shoko","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9934999942779541,"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":0.9934999942779541,"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":0.00139999995008111,"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.0012000000569969416,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/microphone","display_name":"Microphone","score":0.7307000160217285},{"id":"https://openalex.org/keywords/speech-enhancement","display_name":"Speech enhancement","score":0.7271999716758728},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.7257000207901001},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5282999873161316},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5121999979019165},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.48590001463890076},{"id":"https://openalex.org/keywords/oracle","display_name":"Oracle","score":0.46219998598098755},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4242999851703644},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.4090999960899353}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7533000111579895},{"id":"https://openalex.org/C2778263558","wikidata":"https://www.wikidata.org/wiki/Q46384","display_name":"Microphone","level":3,"score":0.7307000160217285},{"id":"https://openalex.org/C2776182073","wikidata":"https://www.wikidata.org/wiki/Q7575395","display_name":"Speech enhancement","level":3,"score":0.7271999716758728},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.7257000207901001},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5860000252723694},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.536899983882904},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5282999873161316},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5121999979019165},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.48590001463890076},{"id":"https://openalex.org/C55166926","wikidata":"https://www.wikidata.org/wiki/Q2892946","display_name":"Oracle","level":2,"score":0.46219998598098755},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4242999851703644},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.4090999960899353},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.38659998774528503},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.3847000002861023},{"id":"https://openalex.org/C2778806681","wikidata":"https://www.wikidata.org/wiki/Q907293","display_name":"Microphone array","level":4,"score":0.3686000108718872},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.36410000920295715},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3637999892234802},{"id":"https://openalex.org/C18537770","wikidata":"https://www.wikidata.org/wiki/Q25523","display_name":"Wiener filter","level":2,"score":0.3564999997615814},{"id":"https://openalex.org/C2776864781","wikidata":"https://www.wikidata.org/wiki/Q52617913","display_name":"Source separation","level":2,"score":0.34610000252723694},{"id":"https://openalex.org/C24574437","wikidata":"https://www.wikidata.org/wiki/Q7135228","display_name":"Parametric model","level":3,"score":0.33239999413490295},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.31189998984336853},{"id":"https://openalex.org/C204201278","wikidata":"https://www.wikidata.org/wiki/Q1332614","display_name":"Voice activity detection","level":3,"score":0.2953000068664551},{"id":"https://openalex.org/C36922181","wikidata":"https://www.wikidata.org/wiki/Q7047650","display_name":"Noise-canceling microphone","level":5,"score":0.28940001130104065},{"id":"https://openalex.org/C100515483","wikidata":"https://www.wikidata.org/wiki/Q3268235","display_name":"Filter bank","level":3,"score":0.27950000762939453},{"id":"https://openalex.org/C65557600","wikidata":"https://www.wikidata.org/wiki/Q7249451","display_name":"Projection method","level":3,"score":0.27489998936653137},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.26820001006126404},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.2565999925136566},{"id":"https://openalex.org/C2776145971","wikidata":"https://www.wikidata.org/wiki/Q30673951","display_name":"Labeled data","level":2,"score":0.25600001215934753}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.13109","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.13109","pdf_url":null,"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":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2606.13109","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.13109","pdf_url":null,"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":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"score":0.5734450817108154,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Training":[0],"neural":[1],"networks":[2],"(NNs)":[3],"for":[4],"speech":[5,18],"enhancement":[6],"(SE)":[7],"in":[8],"distant":[9,63],"speech-capturing":[10],"scenarios":[11],"requires":[12],"paired":[13,54],"distorted":[14],"and":[15,32,62],"clean":[16,77],"reference":[17,78],"signals.":[19],"While":[20],"such":[21],"data":[22,55,115],"are":[23],"often":[24],"generated":[25],"through":[26],"simulation,":[27],"the":[28,100,117,124,136,146],"mismatch":[29],"between":[30],"simulated":[31],"real":[33,57],"recordings":[34,58],"significantly":[35],"limits":[36],"SE":[37],"accuracy.":[38],"To":[39],"address":[40],"this":[41,90],"issue,":[42],"we":[43],"propose":[44],"Close-to-Distant":[45],"microphone":[46],"Projection":[47],"(C2D":[48],"projection),":[49],"a":[50,97],"method":[51],"that":[52,72,109],"generates":[53],"from":[56,139],"captured":[59],"by":[60],"close":[61],"microphones.":[64],"C2D":[65],"projection":[66,70,91],"estimates":[67],"an":[68,110,142],"optimal":[69],"matrix":[71],"transforms":[73],"close-microphone":[74],"inputs":[75],"into":[76],"signals":[79],"aligned":[80],"with":[81,113],"distant-microphone":[82],"recordings,":[83],"while":[84],"simultaneously":[85],"performing":[86],"denoising.":[87],"We":[88],"show":[89],"can":[92],"be":[93],"effectively":[94],"realized":[95],"using":[96,135],"variant":[98],"of":[99],"Parametric":[101],"Multichannel":[102],"Wiener":[103],"Filter":[104],"(PMWF).":[105],"Experimental":[106],"results":[107],"demonstrate":[108],"NN":[111],"trained":[112],"C2D-projected":[114],"outperforms":[116],"state-of-the-art":[118],"Guided":[119],"Source":[120],"Separation":[121],"(GSS)":[122],"on":[123],"challenging":[125],"CHiME6":[126],"dinner":[127],"party":[128],"ASR":[129],"task":[130],"under":[131],"oracle":[132],"diarization,":[133],"when":[134],"enhanced":[137],"output":[138],"GSS":[140],"as":[141],"auxiliary":[143],"input":[144],"to":[145],"NN.":[147]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-06-13T00:00:00"}