{"id":"https://openalex.org/W2900429685","doi":"https://doi.org/10.1109/iwaenc.2018.8521241","title":"Blind Reverberation Time Estimation Using a Convolutional Neural Network","display_name":"Blind Reverberation Time Estimation Using a Convolutional Neural Network","publication_year":2018,"publication_date":"2018-09-01","ids":{"openalex":"https://openalex.org/W2900429685","doi":"https://doi.org/10.1109/iwaenc.2018.8521241","mag":"2900429685"},"language":"en","primary_location":{"id":"doi:10.1109/iwaenc.2018.8521241","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwaenc.2018.8521241","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 16th International Workshop on Acoustic Signal Enhancement (IWAENC)","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/A5036868085","display_name":"Hannes Gamper","orcid":"https://orcid.org/0000-0002-2148-6367"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hannes Gamper","raw_affiliation_strings":["Audio and Acoustics Research Group Microsoft Research Redmond, WA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Audio and Acoustics Research Group Microsoft Research Redmond, WA, USA","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007425970","display_name":"Ivan Tashev","orcid":"https://orcid.org/0000-0002-2263-2047"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ivan J. Tashev","raw_affiliation_strings":["Audio and Acoustics Research Group Microsoft Research Redmond, WA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Audio and Acoustics Research Group Microsoft Research Redmond, WA, USA","institution_ids":["https://openalex.org/I1290206253"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.6556,"has_fulltext":false,"cited_by_count":80,"citation_normalized_percentile":{"value":0.95796129,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"136","last_page":"140"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9980000257492065,"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"}},{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9937000274658203,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/reverberation","display_name":"Reverberation","score":0.9687034487724304},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7992206811904907},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7723240852355957},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.7146539092063904},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5170769691467285},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.46765774488449097},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4603900611400604},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4136214852333069},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3984341025352478},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.2518618106842041},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.11519777774810791}],"concepts":[{"id":"https://openalex.org/C95851461","wikidata":"https://www.wikidata.org/wiki/Q468809","display_name":"Reverberation","level":2,"score":0.9687034487724304},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7992206811904907},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7723240852355957},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.7146539092063904},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5170769691467285},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.46765774488449097},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4603900611400604},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4136214852333069},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3984341025352478},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.2518618106842041},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.11519777774810791},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iwaenc.2018.8521241","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwaenc.2018.8521241","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 16th International Workshop on Acoustic Signal Enhancement (IWAENC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.46000000834465027,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W1499999342","https://openalex.org/W1522301498","https://openalex.org/W1557831657","https://openalex.org/W1604772107","https://openalex.org/W1635512741","https://openalex.org/W1836465849","https://openalex.org/W1989314204","https://openalex.org/W2033288740","https://openalex.org/W2086286498","https://openalex.org/W2141125852","https://openalex.org/W2142370513","https://openalex.org/W2160815625","https://openalex.org/W2163605009","https://openalex.org/W2167314872","https://openalex.org/W2180309746","https://openalex.org/W2245569228","https://openalex.org/W2246804954","https://openalex.org/W2398921440","https://openalex.org/W2410879554","https://openalex.org/W2513383847","https://openalex.org/W2519091744","https://openalex.org/W2523573275","https://openalex.org/W2541714600","https://openalex.org/W2564570049","https://openalex.org/W2611943505","https://openalex.org/W2644708913","https://openalex.org/W2668911695","https://openalex.org/W2736172179","https://openalex.org/W2767106145","https://openalex.org/W2801757532","https://openalex.org/W2803981468","https://openalex.org/W2949117887","https://openalex.org/W2964121744","https://openalex.org/W3104757150","https://openalex.org/W4251733995","https://openalex.org/W6631190155","https://openalex.org/W6633301432","https://openalex.org/W6636095674","https://openalex.org/W6638667902","https://openalex.org/W6680987062","https://openalex.org/W6684191040","https://openalex.org/W6690610466","https://openalex.org/W6690787589","https://openalex.org/W6727731720","https://openalex.org/W6745643699"],"related_works":["https://openalex.org/W1656519308","https://openalex.org/W2042717753","https://openalex.org/W2022849831","https://openalex.org/W2037265366","https://openalex.org/W2391832549","https://openalex.org/W2286653370","https://openalex.org/W1499578372","https://openalex.org/W2368849850","https://openalex.org/W2088447702","https://openalex.org/W1799937301"],"abstract_inverted_index":{"The":[0],"reverberation":[1,24,54],"time":[2,25,55],"of":[3,64],"an":[4],"acoustic":[5],"environment":[6],"is":[7,81],"a":[8,32,41,46,58],"useful":[9],"parameter":[10],"for":[11],"applications":[12],"including":[13],"source":[14],"localisation,":[15],"speech":[16,66],"recognition":[17],"and":[18,27,44,84],"mixed":[19],"reality.":[20],"However,":[21],"estimating":[22],"the":[23,29,38,53,71,78],"blindly":[26],"on":[28,70],"fly":[30],"remains":[31],"challenge.":[33],"Here":[34],"we":[35],"propose":[36],"formulating":[37],"estimation":[39],"as":[40],"regression":[42],"problem":[43],"using":[45],"convolutional":[47],"neural":[48],"network":[49],"(CNN)":[50],"to":[51],"estimate":[52],"directly":[56],"from":[57],"four":[59],"second":[60],"long":[61],"single-channel":[62],"recording":[63],"reverberant":[65],"in":[67],"noise.":[68],"Evaluation":[69],"ACE":[72],"Challenge":[73],"data":[74],"corpus":[75],"suggests":[76],"that":[77],"proposed":[79],"method":[80],"computationally":[82],"efficient":[83],"outperforms":[85],"state-of-the-art":[86],"methods.":[87]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":16},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":14},{"year":2021,"cited_by_count":13},{"year":2020,"cited_by_count":10},{"year":2019,"cited_by_count":5}],"updated_date":"2026-06-13T07:54:00.901334","created_date":"2025-10-10T00:00:00"}