{"id":"https://openalex.org/W2982082915","doi":"https://doi.org/10.1109/icassp40776.2020.9053093","title":"Modeling Plate and Spring Reverberation Using A DSP-Informed Deep Neural Network","display_name":"Modeling Plate and Spring Reverberation Using A DSP-Informed Deep Neural Network","publication_year":2020,"publication_date":"2020-04-09","ids":{"openalex":"https://openalex.org/W2982082915","doi":"https://doi.org/10.1109/icassp40776.2020.9053093","mag":"2982082915"},"language":"en","primary_location":{"id":"doi:10.1109/icassp40776.2020.9053093","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9053093","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1910.10105","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101814826","display_name":"Marco A. Mart\u00ednez Ram\u00edrez","orcid":"https://orcid.org/0000-0002-3989-7519"},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Marco A. Martinez Ramirez","raw_affiliation_strings":["Centre for Digital Music, Queen Mary University of London, UK"],"affiliations":[{"raw_affiliation_string":"Centre for Digital Music, Queen Mary University of London, UK","institution_ids":["https://openalex.org/I166337079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084672392","display_name":"Emmanouil Benetos","orcid":null},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Emmanouil Benetos","raw_affiliation_strings":["Centre for Digital Music, Queen Mary University of London, UK"],"affiliations":[{"raw_affiliation_string":"Centre for Digital Music, Queen Mary University of London, UK","institution_ids":["https://openalex.org/I166337079"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111403298","display_name":"Joshua D. Reiss","orcid":null},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Joshua D. Reiss","raw_affiliation_strings":["Centre for Digital Music, Queen Mary University of London, UK"],"affiliations":[{"raw_affiliation_string":"Centre for Digital Music, Queen Mary University of London, UK","institution_ids":["https://openalex.org/I166337079"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101814826"],"corresponding_institution_ids":["https://openalex.org/I166337079"],"apc_list":null,"apc_paid":null,"fwci":0.6085,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.64767987,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"241","last_page":"245"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","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/T10860","display_name":"Speech and Audio Processing","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/T10283","display_name":"Hearing Loss and Rehabilitation","score":0.9986000061035156,"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/T10534","display_name":"Structural Health Monitoring Techniques","score":0.9943000078201294,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/reverberation","display_name":"Reverberation","score":0.8112400770187378},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.7429356575012207},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6887843608856201},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6080957651138306},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.5864062905311584},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5056724548339844},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.433758020401001},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.414247065782547},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.3596970736980438},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.35211366415023804},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.23959213495254517},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.13297557830810547},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.130232036113739}],"concepts":[{"id":"https://openalex.org/C95851461","wikidata":"https://www.wikidata.org/wiki/Q468809","display_name":"Reverberation","level":2,"score":0.8112400770187378},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.7429356575012207},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6887843608856201},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6080957651138306},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.5864062905311584},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5056724548339844},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.433758020401001},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.414247065782547},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.3596970736980438},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.35211366415023804},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.23959213495254517},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.13297557830810547},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.130232036113739},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/icassp40776.2020.9053093","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9053093","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1910.10105","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1910.10105","pdf_url":"https://arxiv.org/pdf/1910.10105","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:qmro.qmul.ac.uk:123456789/62298","is_oa":false,"landing_page_url":"https://qmro.qmul.ac.uk/xmlui/handle/123456789/62298","pdf_url":null,"source":{"id":"https://openalex.org/S4306400530","display_name":"Queen Mary Research Online (Queen Mary University of London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I166337079","host_organization_name":"Queen Mary University of London","host_organization_lineage":["https://openalex.org/I166337079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Proceeding"},{"id":"pmh:oai:qmro.qmul.ac.uk:123456789/62846","is_oa":false,"landing_page_url":"https://qmro.qmul.ac.uk/xmlui/handle/123456789/62846","pdf_url":null,"source":{"id":"https://openalex.org/S4306400530","display_name":"Queen Mary Research Online (Queen Mary University of London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I166337079","host_organization_name":"Queen Mary University of London","host_organization_lineage":["https://openalex.org/I166337079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Proceeding"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1910.10105","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1910.10105","pdf_url":"https://arxiv.org/pdf/1910.10105","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":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":60,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1539749833","https://openalex.org/W1544799707","https://openalex.org/W1546399581","https://openalex.org/W1546693499","https://openalex.org/W1581261847","https://openalex.org/W1585901050","https://openalex.org/W1607381433","https://openalex.org/W1973681148","https://openalex.org/W2002507711","https://openalex.org/W2002683184","https://openalex.org/W2006129368","https://openalex.org/W2078243114","https://openalex.org/W2090539147","https://openalex.org/W2121113238","https://openalex.org/W2137015444","https://openalex.org/W2137318871","https://openalex.org/W2142389896","https://openalex.org/W2165130450","https://openalex.org/W2336644683","https://openalex.org/W2339159381","https://openalex.org/W2507109542","https://openalex.org/W2581073931","https://openalex.org/W2752782242","https://openalex.org/W2787608024","https://openalex.org/W2897524142","https://openalex.org/W2899167452","https://openalex.org/W2945420247","https://openalex.org/W2946947453","https://openalex.org/W2962926189","https://openalex.org/W2963143631","https://openalex.org/W2963420686","https://openalex.org/W2964121744","https://openalex.org/W2964218314","https://openalex.org/W2972162845","https://openalex.org/W2989894932","https://openalex.org/W3003897562","https://openalex.org/W3091064178","https://openalex.org/W4243156825","https://openalex.org/W4288346708","https://openalex.org/W4297783831","https://openalex.org/W4309845474","https://openalex.org/W6631190155","https://openalex.org/W6632062613","https://openalex.org/W6632614476","https://openalex.org/W6632649664","https://openalex.org/W6636355527","https://openalex.org/W6643899157","https://openalex.org/W6673095670","https://openalex.org/W6677829384","https://openalex.org/W6680339868","https://openalex.org/W6680366017","https://openalex.org/W6703899744","https://openalex.org/W6732251933","https://openalex.org/W6740098150","https://openalex.org/W6745406854","https://openalex.org/W6748475379","https://openalex.org/W6763039619","https://openalex.org/W6770171761","https://openalex.org/W6772670765"],"related_works":["https://openalex.org/W4210376836","https://openalex.org/W4210925376","https://openalex.org/W1633995705","https://openalex.org/W2596211269","https://openalex.org/W2360384790","https://openalex.org/W4232397253","https://openalex.org/W4235913033","https://openalex.org/W2109284253","https://openalex.org/W2039966832","https://openalex.org/W2359819289"],"abstract_inverted_index":{"Plate":[0],"and":[1,9,41,100,106,124,134],"spring":[2,107],"reverberators":[3,65],"are":[4,20],"electromechanical":[5,98],"systems":[6],"first":[7],"used":[8,22],"researched":[10],"as":[11],"means":[12],"to":[13,30,93,111],"substitute":[14],"real":[15],"room":[16],"reverberation.":[17],"Currently,":[18],"they":[19,48],"often":[21],"in":[23,57],"music":[24],"production":[25],"for":[26,79],"aesthetic":[27],"reasons":[28],"due":[29],"their":[31,42],"particular":[32],"sonic":[33],"characteristics.":[34],"The":[35],"modeling":[36,81,103],"of":[37,82,89,104,115],"these":[38],"audio":[39],"processors":[40],"perceptual":[43,121],"qualities":[44],"is":[45,132,138],"difficult":[46],"since":[47],"use":[49,67],"mechanical":[50],"elements":[51],"together":[52],"with":[53],"analog":[54],"electronics":[55],"resulting":[56],"an":[58],"extremely":[59],"complex":[60],"response.":[61],"Based":[62],"on":[63],"digital":[64],"that":[66],"sparse":[68],"FIR":[69],"filters,":[70],"we":[71,101,118,125],"propose":[72],"a":[73,120],"signal":[74],"processing-informed":[75],"deep":[76,90],"learning":[77],"architecture":[78],"the":[80,87,113,116,129,136],"artificial":[83],"reverberators.":[84,108],"We":[85],"explore":[86],"capabilities":[88],"neural":[91],"networks":[92],"learn":[94],"such":[95],"highly":[96],"nonlinear":[97],"responses":[99],"perform":[102],"plate":[105],"In":[109],"order":[110],"measure":[112],"performance":[114],"model,":[117],"conduct":[119],"evaluation":[122],"experiment":[123],"also":[126],"analyze":[127],"how":[128],"given":[130],"task":[131],"accomplished":[133],"what":[135],"model":[137],"actually":[139],"learning.":[140]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
