{"id":"https://openalex.org/W4319862439","doi":"https://doi.org/10.1109/slt54892.2023.10023156","title":"How do Phonological Properties Affect Bilingual Automatic Speech Recognition?","display_name":"How do Phonological Properties Affect Bilingual Automatic Speech Recognition?","publication_year":2023,"publication_date":"2023-01-09","ids":{"openalex":"https://openalex.org/W4319862439","doi":"https://doi.org/10.1109/slt54892.2023.10023156"},"language":"en","primary_location":{"id":"doi:10.1109/slt54892.2023.10023156","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/slt54892.2023.10023156","pdf_url":null,"source":{"id":"https://openalex.org/S4363605953","display_name":"2022 IEEE Spoken Language Technology Workshop (SLT)","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":"2022 IEEE Spoken Language Technology Workshop (SLT)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5069589611","display_name":"Shelly Jain","orcid":null},"institutions":[{"id":"https://openalex.org/I64189192","display_name":"International Institute of Information Technology, Hyderabad","ror":"https://ror.org/05f11g639","country_code":"IN","type":"education","lineage":["https://openalex.org/I64189192"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Shelly Jain","raw_affiliation_strings":["International Institute of Information Technology,Speech Lab, Language Technologies Research Centre (LTRC),Hyderabad,India,500032"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"International Institute of Information Technology,Speech Lab, Language Technologies Research Centre (LTRC),Hyderabad,India,500032","institution_ids":["https://openalex.org/I64189192"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051703527","display_name":"Aditya Yadavalli","orcid":"https://orcid.org/0000-0002-6882-3762"},"institutions":[{"id":"https://openalex.org/I64189192","display_name":"International Institute of Information Technology, Hyderabad","ror":"https://ror.org/05f11g639","country_code":"IN","type":"education","lineage":["https://openalex.org/I64189192"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Aditya Yadavalli","raw_affiliation_strings":["International Institute of Information Technology,Speech Lab, Language Technologies Research Centre (LTRC),Hyderabad,India,500032"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"International Institute of Information Technology,Speech Lab, Language Technologies Research Centre (LTRC),Hyderabad,India,500032","institution_ids":["https://openalex.org/I64189192"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077558817","display_name":"Ganesh S. Mirishkar","orcid":null},"institutions":[{"id":"https://openalex.org/I64189192","display_name":"International Institute of Information Technology, Hyderabad","ror":"https://ror.org/05f11g639","country_code":"IN","type":"education","lineage":["https://openalex.org/I64189192"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Ganesh S Mirishkar","raw_affiliation_strings":["International Institute of Information Technology,Speech Lab, Language Technologies Research Centre (LTRC),Hyderabad,India,500032"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"International Institute of Information Technology,Speech Lab, Language Technologies Research Centre (LTRC),Hyderabad,India,500032","institution_ids":["https://openalex.org/I64189192"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007569113","display_name":"Anil Kumar Vuppala","orcid":"https://orcid.org/0000-0001-7795-0408"},"institutions":[{"id":"https://openalex.org/I64189192","display_name":"International Institute of Information Technology, Hyderabad","ror":"https://ror.org/05f11g639","country_code":"IN","type":"education","lineage":["https://openalex.org/I64189192"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Anil Kumar Vuppala","raw_affiliation_strings":["International Institute of Information Technology,Speech Lab, Language Technologies Research Centre (LTRC),Hyderabad,India,500032"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"International Institute of Information Technology,Speech Lab, Language Technologies Research Centre (LTRC),Hyderabad,India,500032","institution_ids":["https://openalex.org/I64189192"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I64189192"],"apc_list":null,"apc_paid":null,"fwci":0.2178,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.37578392,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":1.0,"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/T10201","display_name":"Speech Recognition and Synthesis","score":1.0,"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":0.9995999932289124,"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/T10181","display_name":"Natural Language Processing Techniques","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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7397350668907166},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.7261770963668823},{"id":"https://openalex.org/keywords/word-error-rate","display_name":"Word error rate","score":0.5741884112358093},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5688614249229431},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5640119314193726},{"id":"https://openalex.org/keywords/affect","display_name":"Affect (linguistics)","score":0.5346402525901794},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.467266708612442},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.44565534591674805},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4338807463645935},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.2233390212059021}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7397350668907166},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.7261770963668823},{"id":"https://openalex.org/C40969351","wikidata":"https://www.wikidata.org/wiki/Q3516228","display_name":"Word error rate","level":2,"score":0.5741884112358093},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5688614249229431},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5640119314193726},{"id":"https://openalex.org/C2776035688","wikidata":"https://www.wikidata.org/wiki/Q1606558","display_name":"Affect (linguistics)","level":2,"score":0.5346402525901794},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.467266708612442},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.44565534591674805},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4338807463645935},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.2233390212059021},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/slt54892.2023.10023156","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/slt54892.2023.10023156","pdf_url":null,"source":{"id":"https://openalex.org/S4363605953","display_name":"2022 IEEE Spoken Language Technology Workshop (SLT)","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":"2022 IEEE Spoken Language Technology Workshop (SLT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.7699999809265137,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1631260214","https://openalex.org/W1997240284","https://openalex.org/W2122364000","https://openalex.org/W2158195707","https://openalex.org/W2402146185","https://openalex.org/W2526425061","https://openalex.org/W2575483272","https://openalex.org/W2587848299","https://openalex.org/W2766219058","https://openalex.org/W2786835190","https://openalex.org/W2889206025","https://openalex.org/W2895103375","https://openalex.org/W2944255943","https://openalex.org/W2962780374","https://openalex.org/W2963250244","https://openalex.org/W2964309797","https://openalex.org/W3014408449","https://openalex.org/W3034273309","https://openalex.org/W3094197178","https://openalex.org/W3095732712","https://openalex.org/W3096032230","https://openalex.org/W3096215352","https://openalex.org/W3097777922","https://openalex.org/W3103005696","https://openalex.org/W3146930114","https://openalex.org/W3147984406","https://openalex.org/W3198712558","https://openalex.org/W4211116738","https://openalex.org/W4385245566","https://openalex.org/W6631362777","https://openalex.org/W6732323387","https://openalex.org/W6775557069","https://openalex.org/W6779089044"],"related_works":["https://openalex.org/W2309273277","https://openalex.org/W2061937230","https://openalex.org/W1769849273","https://openalex.org/W1574295218","https://openalex.org/W113247760","https://openalex.org/W1967477266","https://openalex.org/W2547793174","https://openalex.org/W2070212102","https://openalex.org/W2544241817","https://openalex.org/W2914603036"],"abstract_inverted_index":{"Multilingual":[0],"Automatic":[1],"Speech":[2],"Recognition":[3],"(ASR)":[4],"for":[5,12,76,141],"Indian":[6,49],"languages":[7,28,50],"is":[8,92,131,139],"an":[9],"obvious":[10],"technique":[11],"leveraging":[13],"their":[14],"similarities.":[15],"We":[16,56],"present":[17],"a":[18,105],"detailed":[19],"analysis":[20],"of":[21,87,101,107,119,136],"how":[22],"phonological":[23,88,114],"similarities":[24],"and":[25,35,51,64,109],"differences":[26],"between":[27],"affect":[29],"Time":[30],"Delay":[31],"Neural":[32],"Network":[33],"(TDNN)":[34],"End-to-End":[36],"(E2E)":[37],"ASR.":[38],"To":[39],"study":[40],"this,":[41],"we":[42],"select":[43],"genealogically":[44],"similar":[45,66],"pairs":[46],"from":[47],"five":[48],"train":[52],"bilingual":[53],"acoustic":[54,62],"models.":[55],"compare":[57],"these":[58],"against":[59],"corresponding":[60],"monolingual":[61],"models":[63],"find":[65],"phoneme":[67,81],"distributions":[68],"within":[69],"speech":[70],"to":[71],"be":[72],"the":[73,113,125,134],"primary":[74],"factor":[75],"improving":[77],"model":[78,142],"performance,":[79],"with":[80],"overlap":[82],"being":[83],"secondary.":[84],"The":[85],"influence":[86],"properties":[89],"on":[90],"performance":[91],"visible":[93],"in":[94],"both":[95],"cases.":[96],"Word":[97],"Error":[98],"Rate":[99],"(WER)":[100],"E2E":[102],"decreased":[103],"by":[104,122],"median":[106],"2.35%,":[108],"upto":[110],"8.5%":[111],"when":[112,124],"similarity":[115,126],"was":[116,127],"greatest.":[117],"WER":[118],"TDNN":[120],"increased":[121],"11.69%":[123],"lowest.":[128],"Thus,":[129],"it":[130],"clear":[132],"that":[133],"choice":[135],"supplementary":[137],"language":[138],"important":[140],"performance.":[143]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}