{"id":"https://openalex.org/W4416249739","doi":"https://doi.org/10.1109/waspaa66052.2025.11230987","title":"Neural-network based interpolation of late reverberation in coupled spaces using the common slopes model","display_name":"Neural-network based interpolation of late reverberation in coupled spaces using the common slopes model","publication_year":2025,"publication_date":"2025-10-12","ids":{"openalex":"https://openalex.org/W4416249739","doi":"https://doi.org/10.1109/waspaa66052.2025.11230987"},"language":"en","primary_location":{"id":"doi:10.1109/waspaa66052.2025.11230987","is_oa":false,"landing_page_url":"https://doi.org/10.1109/waspaa66052.2025.11230987","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://kclpure.kcl.ac.uk/portal/en/publications/5fa638be-a223-4db7-87ad-5dadc2270dc0","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5076921349","display_name":"Orchisama Das","orcid":"https://orcid.org/0000-0002-3890-6604"},"institutions":[{"id":"https://openalex.org/I164213776","display_name":"King's College - North Carolina","ror":"https://ror.org/022f44628","country_code":"US","type":"education","lineage":["https://openalex.org/I164213776"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Orchisama Das","raw_affiliation_strings":["Kings College London,Dept. of Engineering.,United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kings College London,Dept. of Engineering.,United Kingdom","institution_ids":["https://openalex.org/I164213776"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093973911","display_name":"Gloria Dal Santo","orcid":"https://orcid.org/0009-0007-8094-4333"},"institutions":[{"id":"https://openalex.org/I9927081","display_name":"Aalto University","ror":"https://ror.org/020hwjq30","country_code":"FI","type":"education","lineage":["https://openalex.org/I9927081"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Gloria Dal Santo","raw_affiliation_strings":["Aalto University,Acoustics Lab,Dept. of Info. and Comms. Engineering.,Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aalto University,Acoustics Lab,Dept. of Info. and Comms. Engineering.,Finland","institution_ids":["https://openalex.org/I9927081"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079657543","display_name":"Sebastian J. Schlecht","orcid":"https://orcid.org/0000-0001-8858-4642"},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Sebastian J. Schlecht","raw_affiliation_strings":["Friedrich-Alexander Universität Erlangen-Nürnberg,Multimedia Comms. and Signal Process.,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Friedrich-Alexander Universität Erlangen-Nürnberg,Multimedia Comms. and Signal Process.,Germany","institution_ids":["https://openalex.org/I181369854"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056805951","display_name":"Zoran Cvetkovi\u0107","orcid":"https://orcid.org/0000-0002-5128-5099"},"institutions":[{"id":"https://openalex.org/I164213776","display_name":"King's College - North Carolina","ror":"https://ror.org/022f44628","country_code":"US","type":"education","lineage":["https://openalex.org/I164213776"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zoran Cvetkovi\u0107","raw_affiliation_strings":["Kings College London,Dept. of Engineering.,United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kings College London,Dept. of Engineering.,United Kingdom","institution_ids":["https://openalex.org/I164213776"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5076921349"],"corresponding_institution_ids":["https://openalex.org/I164213776"],"apc_list":null,"apc_paid":null,"fwci":2.5352,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.90898697,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"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/T10283","display_name":"Hearing Loss and Rehabilitation","score":0.7540000081062317,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10283","display_name":"Hearing Loss and Rehabilitation","score":0.7540000081062317,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.12359999865293503,"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/T10914","display_name":"Tactile and Sensory Interactions","score":0.030400000512599945,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/reverberation","display_name":"Reverberation","score":0.8181999921798706},{"id":"https://openalex.org/keywords/spherical-harmonics","display_name":"Spherical harmonics","score":0.5792999863624573},{"id":"https://openalex.org/keywords/binaural-recording","display_name":"Binaural recording","score":0.5640000104904175},{"id":"https://openalex.org/keywords/amplitude","display_name":"Amplitude","score":0.5297999978065491},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.5058000087738037},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.4438000023365021},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.36419999599456787},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.36320000886917114}],"concepts":[{"id":"https://openalex.org/C95851461","wikidata":"https://www.wikidata.org/wiki/Q468809","display_name":"Reverberation","level":2,"score":0.8181999921798706},{"id":"https://openalex.org/C3768446","wikidata":"https://www.wikidata.org/wiki/Q877100","display_name":"Spherical harmonics","level":2,"score":0.5792999863624573},{"id":"https://openalex.org/C201247586","wikidata":"https://www.wikidata.org/wiki/Q5612967","display_name":"Binaural recording","level":2,"score":0.5640000104904175},{"id":"https://openalex.org/C180205008","wikidata":"https://www.wikidata.org/wiki/Q159190","display_name":"Amplitude","level":2,"score":0.5297999978065491},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5227000117301941},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.5058000087738037},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.49480000138282776},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.4438000023365021},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.41530001163482666},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.36419999599456787},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.36320000886917114},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.34380000829696655},{"id":"https://openalex.org/C112633086","wikidata":"https://www.wikidata.org/wiki/Q381287","display_name":"White noise","level":2,"score":0.3303999900817871},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.326200008392334},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3246000111103058},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.32030001282691956},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3138999938964844},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.3125},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.3059999942779541},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.2824000120162964},{"id":"https://openalex.org/C15627037","wikidata":"https://www.wikidata.org/wiki/Q541961","display_name":"Classification of discontinuities","level":2,"score":0.2818000018596649},{"id":"https://openalex.org/C127934551","wikidata":"https://www.wikidata.org/wiki/Q1148098","display_name":"Harmonic","level":2,"score":0.2694999873638153},{"id":"https://openalex.org/C24027999","wikidata":"https://www.wikidata.org/wiki/Q2176348","display_name":"Omnidirectional antenna","level":3,"score":0.2671000063419342},{"id":"https://openalex.org/C17137986","wikidata":"https://www.wikidata.org/wiki/Q215067","display_name":"Orthogonality","level":2,"score":0.2662999927997589},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.25769999623298645},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.2558000087738037}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/waspaa66052.2025.11230987","is_oa":false,"landing_page_url":"https://doi.org/10.1109/waspaa66052.2025.11230987","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA)","raw_type":"proceedings-article"},{"id":"pmh:oai:kclpure.kcl.ac.uk:openaire/5fa638be-a223-4db7-87ad-5dadc2270dc0","is_oa":true,"landing_page_url":"https://kclpure.kcl.ac.uk/portal/en/publications/5fa638be-a223-4db7-87ad-5dadc2270dc0","pdf_url":null,"source":{"id":"https://openalex.org/S4306400216","display_name":"Research Portal (King's College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I183935753","host_organization_name":"King's College London","host_organization_lineage":["https://openalex.org/I183935753"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Das, O, Dal Santo, G, Schlecht, S & Cvetkovic, Z 2025, 'Neural-network based interpolation of late reverberation in coupled spaces using the common slopes model', IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA).","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:aaltodoc.aalto.fi:123456789/141490","is_oa":true,"landing_page_url":"https://doi.org/10.1109/WASPAA66052.2025.11230987","pdf_url":null,"source":{"id":"https://openalex.org/S4306401663","display_name":"Aaltodoc (Aalto University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I9927081","host_organization_name":"Aalto University","host_organization_lineage":["https://openalex.org/I9927081"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"acceptedVersion"}],"best_oa_location":{"id":"pmh:oai:kclpure.kcl.ac.uk:openaire/5fa638be-a223-4db7-87ad-5dadc2270dc0","is_oa":true,"landing_page_url":"https://kclpure.kcl.ac.uk/portal/en/publications/5fa638be-a223-4db7-87ad-5dadc2270dc0","pdf_url":null,"source":{"id":"https://openalex.org/S4306400216","display_name":"Research Portal (King's College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I183935753","host_organization_name":"King's College London","host_organization_lineage":["https://openalex.org/I183935753"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Das, O, Dal Santo, G, Schlecht, S & Cvetkovic, Z 2025, 'Neural-network based interpolation of late reverberation in coupled spaces using the common slopes model', IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA).","raw_type":"info:eu-repo/semantics/publishedVersion"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1811954879","https://openalex.org/W1900710043","https://openalex.org/W2066853009","https://openalex.org/W2141047270","https://openalex.org/W2144732021","https://openalex.org/W2738467312","https://openalex.org/W3022380717","https://openalex.org/W3047687894","https://openalex.org/W3103750408","https://openalex.org/W3119620599","https://openalex.org/W3138819189","https://openalex.org/W3163656839","https://openalex.org/W4213021155","https://openalex.org/W4225271852","https://openalex.org/W4287510388","https://openalex.org/W4291142585","https://openalex.org/W4386903046","https://openalex.org/W4390590981","https://openalex.org/W4402381585","https://openalex.org/W4402727828","https://openalex.org/W4415433021","https://openalex.org/W4415797860"],"related_works":[],"abstract_inverted_index":{"Six-degrees-of-freedom":[0],"audio":[1],"rendering":[2,122],"for":[3,123],"eXtended":[4],"Reality":[5],"(XR)":[6],"from":[7],"limited":[8],"measurements":[9],"remains":[10],"a":[11,41,52,72,103,131,149],"challenging":[12],"problem,":[13],"particularly":[14],"in":[15,40,61],"coupled":[16,42],"spaces":[17],"where":[18],"anisotropic":[19],"and":[20,126,167],"multi-slope":[21],"late":[22,38,113],"reverberation":[23,39,114],"occurs.":[24],"In":[25],"this":[26],"work,":[27],"we":[28],"adopt":[29],"the":[30,62,81,87,96,162],"common":[31,98],"slopes":[32],"model":[33],"to":[34,51,56,110,147,161],"represent":[35],"position-dependent,":[36],"directional":[37,73,84,112],"space.":[43],"Fourier-encoded":[44],"positional":[45],"coordinates":[46],"are":[47],"used":[48],"as":[49],"input":[50],"Multi-Layer":[53],"Perceptron":[54],"(MLP)":[55],"predict":[57],"position-dependent":[58],"common-slope":[59],"amplitudes":[60,85],"spherical":[63],"harmonic":[64],"(SH)":[65],"domain.":[66],"The":[67],"MLP":[68,82],"is":[69,145],"trained":[70],"using":[71],"energy":[74],"decay":[75,99],"curve":[76],"(DEDC)":[77],"loss.":[78],"At":[79],"inference,":[80],"predicts":[83],"of":[86,142],"DEDCs":[88],"at":[89,116],"unseen":[90],"positions.":[91],"These":[92],"amplitudes,":[93],"combined":[94],"with":[95,172],"pre-determined":[97],"times,":[100],"can":[101],"drive":[102],"modal":[104],"or":[105],"shaped":[106],"white":[107],"noise":[108],"reverberator":[109],"synthesise":[111],"tails":[115],"new":[117],"locations.":[118],"We":[119,156],"demonstrate":[120],"binaural":[121],"6DoF":[124],"navigation":[125],"evaluate":[127],"our":[128,159],"approach":[129,166],"on":[130],"simulated":[132],"three-room":[133],"dataset.":[134],"Results":[135],"show":[136],"that":[137],"an":[138],"SRIR":[139],"grid":[140],"spacing":[141],"60":[143],"cm":[144],"sufficient":[146],"obtain":[148],"mean":[150],"EDC":[151,174],"error":[152],"below":[153],"1.3":[154],"dB.":[155],"also":[157],"compare":[158],"method":[160],"Neural":[163],"Acoustical":[164],"Field":[165],"achieve":[168],"significantly":[169],"faster":[170],"inference":[171],"comparable":[173],"mismatch":[175],"errors.":[176]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-05-01T08:36:08.643496","created_date":"2025-11-14T00:00:00"}