{"id":"https://openalex.org/W3144325590","doi":"https://doi.org/10.1109/asru51503.2021.9688304","title":"TS-RIR: Translated Synthetic Room Impulse Responses for Speech Augmentation","display_name":"TS-RIR: Translated Synthetic Room Impulse Responses for Speech Augmentation","publication_year":2021,"publication_date":"2021-12-13","ids":{"openalex":"https://openalex.org/W3144325590","doi":"https://doi.org/10.1109/asru51503.2021.9688304","mag":"3144325590"},"language":"en","primary_location":{"id":"doi:10.1109/asru51503.2021.9688304","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asru51503.2021.9688304","pdf_url":null,"source":{"id":"https://openalex.org/S4363606113","display_name":"2021 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2103.16804","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5063105649","display_name":"Anton Ratnarajah","orcid":null},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Anton Ratnarajah","raw_affiliation_strings":["University of Maryland,College Park,MD,United States,20742"],"affiliations":[{"raw_affiliation_string":"University of Maryland,College Park,MD,United States,20742","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022780959","display_name":"Zhenyu Tang","orcid":"https://orcid.org/0000-0001-5544-9727"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhenyu Tang","raw_affiliation_strings":["University of Maryland,College Park,MD,United States,20742"],"affiliations":[{"raw_affiliation_string":"University of Maryland,College Park,MD,United States,20742","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004194238","display_name":"Dinesh Manocha","orcid":"https://orcid.org/0000-0001-7047-9801"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dinesh Manocha","raw_affiliation_strings":["University of Maryland,College Park,MD,United States,20742"],"affiliations":[{"raw_affiliation_string":"University of Maryland,College Park,MD,United States,20742","institution_ids":["https://openalex.org/I66946132"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5063105649"],"corresponding_institution_ids":["https://openalex.org/I66946132"],"apc_list":null,"apc_paid":null,"fwci":0.6887,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.71226415,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"259","last_page":"266"},"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9991999864578247,"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/T11309","display_name":"Music and Audio Processing","score":0.9973999857902527,"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/speech-recognition","display_name":"Speech recognition","score":0.7273258566856384},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6742235422134399},{"id":"https://openalex.org/keywords/impulse-response","display_name":"Impulse response","score":0.5174379944801331},{"id":"https://openalex.org/keywords/impulse","display_name":"Impulse (physics)","score":0.48847973346710205},{"id":"https://openalex.org/keywords/synthetic-data","display_name":"Synthetic data","score":0.46627381443977356},{"id":"https://openalex.org/keywords/speech-enhancement","display_name":"Speech enhancement","score":0.4272615909576416},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.29137277603149414},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.2731970548629761},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12424507737159729}],"concepts":[{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.7273258566856384},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6742235422134399},{"id":"https://openalex.org/C72279823","wikidata":"https://www.wikidata.org/wiki/Q1139726","display_name":"Impulse response","level":2,"score":0.5174379944801331},{"id":"https://openalex.org/C70836080","wikidata":"https://www.wikidata.org/wiki/Q837940","display_name":"Impulse (physics)","level":2,"score":0.48847973346710205},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.46627381443977356},{"id":"https://openalex.org/C2776182073","wikidata":"https://www.wikidata.org/wiki/Q7575395","display_name":"Speech enhancement","level":3,"score":0.4272615909576416},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29137277603149414},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.2731970548629761},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12424507737159729},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/asru51503.2021.9688304","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asru51503.2021.9688304","pdf_url":null,"source":{"id":"https://openalex.org/S4363606113","display_name":"2021 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2103.16804","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2103.16804","pdf_url":"https://arxiv.org/pdf/2103.16804","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":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"mag:3144325590","is_oa":true,"landing_page_url":"http://export.arxiv.org/pdf/2103.16804","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.2103.16804","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2103.16804","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":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2103.16804","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2103.16804","pdf_url":"https://arxiv.org/pdf/2103.16804","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":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.7699999809265137}],"awards":[{"id":"https://openalex.org/G2992874282","display_name":null,"funder_award_id":"W911NF-18-1-0313","funder_id":"https://openalex.org/F4320338281","funder_display_name":"Army Research Office"},{"id":"https://openalex.org/G8724062371","display_name":null,"funder_award_id":"1910940","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320307102","display_name":"Intel Corporation","ror":"https://ror.org/01ek73717"},{"id":"https://openalex.org/F4320338281","display_name":"Army Research Office","ror":"https://ror.org/05epdh915"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3144325590.pdf","grobid_xml":"https://content.openalex.org/works/W3144325590.grobid-xml"},"referenced_works_count":46,"referenced_works":["https://openalex.org/W1494198834","https://openalex.org/W1513603309","https://openalex.org/W1515135833","https://openalex.org/W1993607874","https://openalex.org/W2041996147","https://openalex.org/W2062164080","https://openalex.org/W2076156369","https://openalex.org/W2099471712","https://openalex.org/W2117678320","https://openalex.org/W2144313611","https://openalex.org/W2150769028","https://openalex.org/W2331128040","https://openalex.org/W2402146185","https://openalex.org/W2402865896","https://openalex.org/W2474531669","https://openalex.org/W2617258110","https://openalex.org/W2696967604","https://openalex.org/W2894295011","https://openalex.org/W2901243971","https://openalex.org/W2911394281","https://openalex.org/W2960533729","https://openalex.org/W2962793481","https://openalex.org/W2963040451","https://openalex.org/W2963064586","https://openalex.org/W2963364701","https://openalex.org/W2964341837","https://openalex.org/W2981900206","https://openalex.org/W2986479369","https://openalex.org/W3015676952","https://openalex.org/W3097966334","https://openalex.org/W3099631427","https://openalex.org/W3099783356","https://openalex.org/W3115218903","https://openalex.org/W3146186587","https://openalex.org/W3178031393","https://openalex.org/W3185072287","https://openalex.org/W3198454118","https://openalex.org/W4242948380","https://openalex.org/W4296927107","https://openalex.org/W6630830844","https://openalex.org/W6702130928","https://openalex.org/W6730095352","https://openalex.org/W6755257315","https://openalex.org/W6784139575","https://openalex.org/W6785935518","https://openalex.org/W6798956762"],"related_works":["https://openalex.org/W2592320157","https://openalex.org/W2737400496","https://openalex.org/W2981900206","https://openalex.org/W3008496829","https://openalex.org/W216105396","https://openalex.org/W1502295699","https://openalex.org/W2188162373","https://openalex.org/W2116590962","https://openalex.org/W2799378860","https://openalex.org/W2204992096","https://openalex.org/W2609317876","https://openalex.org/W2902298602","https://openalex.org/W3212304597","https://openalex.org/W2635471793","https://openalex.org/W2146439014","https://openalex.org/W2890820256","https://openalex.org/W2951228927","https://openalex.org/W2763985464","https://openalex.org/W2045399954","https://openalex.org/W1489832123"],"abstract_inverted_index":{"We":[0,17,61,93,121],"present":[1],"a":[2,42,58,102],"method":[3],"for":[4,13],"improving":[5],"the":[6,19,22,31,46,69,77,95,109,133],"quality":[7,78],"of":[8,24,48,79,97],"synthetic":[9,25,43,71,80,99,130],"room":[10,26,33,66],"impulse":[11,27,34],"responses":[12,28,35],"far-field":[14,103,124,143],"speech":[15,104,112,125,145],"recognition.":[16],"bridge":[18],"gap":[20],"between":[21],"fidelity":[23],"(RIRs)":[29],"and":[30,117],"real":[32,59,91],"using":[36,127],"our":[37,128],"novel,":[38],"TS-RIRGAN":[39,53],"architecture.":[40],"Given":[41],"RIR":[44],"in":[45,90,141],"form":[47],"raw":[49],"audio,":[50],"we":[51],"use":[52],"to":[54,88,139],"translate":[55],"it":[56],"into":[57],"RIR.":[60,72],"also":[62],"perform":[63],"real-world":[64],"sub-band":[65],"equalization":[67],"on":[68,101],"translated":[70],"Our":[73],"overall":[74],"approach":[75],"improves":[76],"RIRs":[81,100,116,131],"by":[82,107,137],"compensating":[83],"low-frequency":[84],"wave":[85],"effects,":[86],"similar":[87],"those":[89],"RIRs.":[92],"evaluate":[94],"performance":[96],"improved":[98,129],"dataset":[105,113],"augmented":[106,126],"convolving":[108],"LibriSpeech":[110],"clean":[111],"[1]":[114],"with":[115],"adding":[118],"back-ground":[119],"noise.":[120],"show":[122],"that":[123],"reduces":[132],"word":[134],"error":[135],"rate":[136],"up":[138],"19.9%":[140],"Kaldi":[142],"automatic":[144],"recognition":[146],"benchmark":[147],"[2].":[148]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}
