{"id":"https://openalex.org/W4224918897","doi":"https://doi.org/10.1109/icassp43922.2022.9746748","title":"Listen, Know and Spell: Knowledge-Infused Subword Modeling for Improving ASR Performance of OOV Named Entities","display_name":"Listen, Know and Spell: Knowledge-Infused Subword Modeling for Improving ASR Performance of OOV Named Entities","publication_year":2022,"publication_date":"2022-04-27","ids":{"openalex":"https://openalex.org/W4224918897","doi":"https://doi.org/10.1109/icassp43922.2022.9746748"},"language":"en","primary_location":{"id":"doi:10.1109/icassp43922.2022.9746748","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp43922.2022.9746748","pdf_url":null,"source":{"id":"https://openalex.org/S4363607702","display_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5036502813","display_name":"Nilaksh Das","orcid":"https://orcid.org/0000-0002-5281-5549"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Nilaksh Das","raw_affiliation_strings":["Georgia Institute of Technology,USA","Georgia Institute of Technology, USA"],"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology,USA","institution_ids":["https://openalex.org/I130701444"]},{"raw_affiliation_string":"Georgia Institute of Technology, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014130267","display_name":"Monica Sunkara","orcid":null},"institutions":[{"id":"https://openalex.org/I1311688040","display_name":"Amazon (United States)","ror":"https://ror.org/04mv4n011","country_code":"US","type":"company","lineage":["https://openalex.org/I1311688040"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Monica Sunkara","raw_affiliation_strings":["Amazon AWS AI,USA","Amazon AWS AI, USA"],"affiliations":[{"raw_affiliation_string":"Amazon AWS AI,USA","institution_ids":["https://openalex.org/I1311688040"]},{"raw_affiliation_string":"Amazon AWS AI, USA","institution_ids":["https://openalex.org/I1311688040"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020261049","display_name":"Dhanush Bekal","orcid":null},"institutions":[{"id":"https://openalex.org/I1311688040","display_name":"Amazon (United States)","ror":"https://ror.org/04mv4n011","country_code":"US","type":"company","lineage":["https://openalex.org/I1311688040"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dhanush Bekal","raw_affiliation_strings":["Amazon AWS AI,USA","Amazon AWS AI, USA"],"affiliations":[{"raw_affiliation_string":"Amazon AWS AI,USA","institution_ids":["https://openalex.org/I1311688040"]},{"raw_affiliation_string":"Amazon AWS AI, USA","institution_ids":["https://openalex.org/I1311688040"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020153026","display_name":"Duen Horng Chau","orcid":"https://orcid.org/0000-0001-9824-3323"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Duen Horng Chau","raw_affiliation_strings":["Georgia Institute of Technology,USA","Georgia Institute of Technology, USA"],"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology,USA","institution_ids":["https://openalex.org/I130701444"]},{"raw_affiliation_string":"Georgia Institute of Technology, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050552820","display_name":"Sravan Bodapati","orcid":null},"institutions":[{"id":"https://openalex.org/I1311688040","display_name":"Amazon (United States)","ror":"https://ror.org/04mv4n011","country_code":"US","type":"company","lineage":["https://openalex.org/I1311688040"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sravan Bodapati","raw_affiliation_strings":["Amazon AWS AI,USA","Amazon AWS AI, USA"],"affiliations":[{"raw_affiliation_string":"Amazon AWS AI,USA","institution_ids":["https://openalex.org/I1311688040"]},{"raw_affiliation_string":"Amazon AWS AI, USA","institution_ids":["https://openalex.org/I1311688040"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050325468","display_name":"Katrin Kirchhoff","orcid":"https://orcid.org/0000-0002-6645-6030"},"institutions":[{"id":"https://openalex.org/I1311688040","display_name":"Amazon (United States)","ror":"https://ror.org/04mv4n011","country_code":"US","type":"company","lineage":["https://openalex.org/I1311688040"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Katrin Kirchhoff","raw_affiliation_strings":["Amazon AWS AI,USA","Amazon AWS AI, USA"],"affiliations":[{"raw_affiliation_string":"Amazon AWS AI,USA","institution_ids":["https://openalex.org/I1311688040"]},{"raw_affiliation_string":"Amazon AWS AI, USA","institution_ids":["https://openalex.org/I1311688040"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5036502813"],"corresponding_institution_ids":["https://openalex.org/I130701444"],"apc_list":null,"apc_paid":null,"fwci":1.2473,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.81006249,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"7887","last_page":"7891"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9998999834060669,"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/T10028","display_name":"Topic Modeling","score":0.9997000098228455,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9954000115394592,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8679442405700684},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.7460157871246338},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.622624933719635},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.544979453086853},{"id":"https://openalex.org/keywords/vocabulary","display_name":"Vocabulary","score":0.5018317699432373},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.48986074328422546},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.46306222677230835},{"id":"https://openalex.org/keywords/domain-knowledge","display_name":"Domain knowledge","score":0.45789745450019836},{"id":"https://openalex.org/keywords/entity-linking","display_name":"Entity linking","score":0.45455750823020935},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.42044180631637573},{"id":"https://openalex.org/keywords/knowledge-base","display_name":"Knowledge base","score":0.1726304292678833},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.11399617791175842}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8679442405700684},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.7460157871246338},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.622624933719635},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.544979453086853},{"id":"https://openalex.org/C2777601683","wikidata":"https://www.wikidata.org/wiki/Q6499736","display_name":"Vocabulary","level":2,"score":0.5018317699432373},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.48986074328422546},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.46306222677230835},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.45789745450019836},{"id":"https://openalex.org/C96711827","wikidata":"https://www.wikidata.org/wiki/Q17012245","display_name":"Entity linking","level":3,"score":0.45455750823020935},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.42044180631637573},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.1726304292678833},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.11399617791175842},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp43922.2022.9746748","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp43922.2022.9746748","pdf_url":null,"source":{"id":"https://openalex.org/S4363607702","display_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7599999904632568,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W102708294","https://openalex.org/W1522301498","https://openalex.org/W2026810221","https://openalex.org/W2127795553","https://openalex.org/W2570861022","https://openalex.org/W2766219058","https://openalex.org/W2787663903","https://openalex.org/W2799473636","https://openalex.org/W2942574155","https://openalex.org/W2962780374","https://openalex.org/W2969390999","https://openalex.org/W2972780808","https://openalex.org/W3034363136","https://openalex.org/W3045571807","https://openalex.org/W3094841848","https://openalex.org/W3095918555","https://openalex.org/W3097777922","https://openalex.org/W3101648800","https://openalex.org/W3151929433","https://openalex.org/W3160622492","https://openalex.org/W3196902142","https://openalex.org/W3198004110","https://openalex.org/W3198440282","https://openalex.org/W4300410586","https://openalex.org/W6631190155","https://openalex.org/W6678830454","https://openalex.org/W6738926013","https://openalex.org/W6773435138"],"related_works":["https://openalex.org/W2963217253","https://openalex.org/W2114838678","https://openalex.org/W1583422155","https://openalex.org/W3005865135","https://openalex.org/W1649619740","https://openalex.org/W3213252596","https://openalex.org/W1534006406","https://openalex.org/W3209763089","https://openalex.org/W4306704962","https://openalex.org/W4386576835"],"abstract_inverted_index":{"Automatic":[0],"speech":[1,26],"recognition":[2],"(ASR)":[3],"is":[4],"increasingly":[5],"being":[6],"used":[7],"in":[8,28,46],"specialized":[9],"domains":[10],"such":[11,29,69],"as":[12],"medical":[13],"ASR":[14,94,114],"and":[15,50],"news":[16],"transcription.":[17],"Owing":[18],"to":[19],"the":[20,56,78,93,98],"lack":[21],"of":[22,100,112],"high":[23],"quality":[24],"annotated":[25],"data":[27],"domains,":[30],"off-the-shelf":[31],"models":[32],"are":[33],"commonly":[34],"employed":[35],"by":[36,116],"fine-tuning":[37],"on":[38],"domain-specific":[39,70],"data.":[40],"This":[41],"poses":[42],"a":[43,83],"significant":[44],"challenge":[45],"transcribing":[47],"long-tail":[48],"expressions":[49],"out-of-vocabulary":[51],"(OOV)":[52],"named":[53,71,102,120],"entities.":[54,72,103],"On":[55],"other":[57],"hand,":[58],"readily":[59],"available":[60],"knowledge":[61,67],"graphs":[62],"(KGs)":[63],"provide":[64],"semantically":[65],"structured":[66],"for":[68,86,96,119],"In":[73],"this":[74],"work,":[75],"we":[76],"propose":[77],"Knowledge-Infused":[79],"Subword":[80],"Model":[81],"(KISM),":[82],"novel":[84],"technique":[85],"incorporating":[87],"semantic":[88],"context":[89],"from":[90],"KGs":[91],"into":[92],"pipeline":[95],"improving":[97],"performance":[99],"OOV":[101,110],"Our":[104],"experiments":[105],"show":[106],"that":[107,122],"KISM":[108],"improves":[109],"recall":[111],"an":[113],"model":[115],"4.58%":[117],"(absolute)":[118],"entities":[121],"were":[123],"not":[124],"seen":[125],"during":[126],"training.":[127]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":8}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}