{"id":"https://openalex.org/W4226124814","doi":"https://doi.org/10.1109/o-cocosda202152914.2021.9660500","title":"A Study on Native American English Speech Recognition by Indian Listeners with Varying Word Familiarity Level","display_name":"A Study on Native American English Speech Recognition by Indian Listeners with Varying Word Familiarity Level","publication_year":2021,"publication_date":"2021-11-18","ids":{"openalex":"https://openalex.org/W4226124814","doi":"https://doi.org/10.1109/o-cocosda202152914.2021.9660500"},"language":"en","primary_location":{"id":"doi:10.1109/o-cocosda202152914.2021.9660500","is_oa":false,"landing_page_url":"https://doi.org/10.1109/o-cocosda202152914.2021.9660500","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 24th Conference of the Oriental COCOSDA International Committee for the Co-ordination and Standardisation of Speech Databases and Assessment Techniques (O-COCOSDA)","raw_type":"proceedings-article"},"type":"preprint","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/A5064971186","display_name":"Abhayjeet Singh","orcid":"https://orcid.org/0000-0002-8512-8083"},"institutions":[{"id":"https://openalex.org/I59270414","display_name":"Indian Institute of Science Bangalore","ror":"https://ror.org/04dese585","country_code":"IN","type":"education","lineage":["https://openalex.org/I59270414"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Abhayjeet Singh","raw_affiliation_strings":["Electrical Engineering, Indian Institute of Science (IISc), Bangalore, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical Engineering, Indian Institute of Science (IISc), Bangalore, India","institution_ids":["https://openalex.org/I59270414"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071022121","display_name":"Achuth Rao MV","orcid":"https://orcid.org/0000-0003-0997-7590"},"institutions":[{"id":"https://openalex.org/I59270414","display_name":"Indian Institute of Science Bangalore","ror":"https://ror.org/04dese585","country_code":"IN","type":"education","lineage":["https://openalex.org/I59270414"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Achuth Rao MV","raw_affiliation_strings":["Electrical Engineering, Indian Institute of Science (IISc), Bangalore, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical Engineering, Indian Institute of Science (IISc), Bangalore, India","institution_ids":["https://openalex.org/I59270414"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040030278","display_name":"Rakesh Vaideeswaran","orcid":null},"institutions":[{"id":"https://openalex.org/I59270414","display_name":"Indian Institute of Science Bangalore","ror":"https://ror.org/04dese585","country_code":"IN","type":"education","lineage":["https://openalex.org/I59270414"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Rakesh Vaideeswaran","raw_affiliation_strings":["Electrical Engineering, Indian Institute of Science (IISc), Bangalore, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical Engineering, Indian Institute of Science (IISc), Bangalore, India","institution_ids":["https://openalex.org/I59270414"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064062192","display_name":"Chiranjeevi Yarra","orcid":"https://orcid.org/0000-0002-0574-8777"},"institutions":[{"id":"https://openalex.org/I65181880","display_name":"Indian Institute of Technology Hyderabad","ror":"https://ror.org/01j4v3x97","country_code":"IN","type":"education","lineage":["https://openalex.org/I65181880"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Chiranjeevi Yarra","raw_affiliation_strings":["Language Technologies Research Center (LTRC), IIIT Hyderabad, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Language Technologies Research Center (LTRC), IIIT Hyderabad, India","institution_ids":["https://openalex.org/I65181880"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046000500","display_name":"Prasanta Ghosh","orcid":"https://orcid.org/0000-0002-2925-1802"},"institutions":[{"id":"https://openalex.org/I59270414","display_name":"Indian Institute of Science Bangalore","ror":"https://ror.org/04dese585","country_code":"IN","type":"education","lineage":["https://openalex.org/I59270414"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Prasanta Kumar Ghosh","raw_affiliation_strings":["Electrical Engineering, Indian Institute of Science (IISc), Bangalore, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical Engineering, Indian Institute of Science (IISc), Bangalore, India","institution_ids":["https://openalex.org/I59270414"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.22546638,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"13","last_page":"18"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9958999752998352,"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":0.9958999752998352,"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/T10860","display_name":"Speech and Audio Processing","score":0.9089999794960022,"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":0.9003999829292297,"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/utterance","display_name":"Utterance","score":0.7292125225067139},{"id":"https://openalex.org/keywords/timit","display_name":"TIMIT","score":0.7025912404060364},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6891552805900574},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.6161374449729919},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5925235748291016},{"id":"https://openalex.org/keywords/american-english","display_name":"American English","score":0.5886374115943909},{"id":"https://openalex.org/keywords/speech-corpus","display_name":"Speech corpus","score":0.467928409576416},{"id":"https://openalex.org/keywords/transcription","display_name":"Transcription (linguistics)","score":0.42367690801620483},{"id":"https://openalex.org/keywords/word-error-rate","display_name":"Word error rate","score":0.42235666513442993},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.40039604902267456},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.3925032615661621},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34475165605545044},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.14879706501960754},{"id":"https://openalex.org/keywords/speech-synthesis","display_name":"Speech synthesis","score":0.1338808536529541}],"concepts":[{"id":"https://openalex.org/C2775852435","wikidata":"https://www.wikidata.org/wiki/Q258403","display_name":"Utterance","level":2,"score":0.7292125225067139},{"id":"https://openalex.org/C2778724510","wikidata":"https://www.wikidata.org/wiki/Q7670405","display_name":"TIMIT","level":3,"score":0.7025912404060364},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6891552805900574},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.6161374449729919},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5925235748291016},{"id":"https://openalex.org/C2777939226","wikidata":"https://www.wikidata.org/wiki/Q7976","display_name":"American English","level":2,"score":0.5886374115943909},{"id":"https://openalex.org/C91863865","wikidata":"https://www.wikidata.org/wiki/Q4349497","display_name":"Speech corpus","level":3,"score":0.467928409576416},{"id":"https://openalex.org/C179926584","wikidata":"https://www.wikidata.org/wiki/Q207714","display_name":"Transcription (linguistics)","level":2,"score":0.42367690801620483},{"id":"https://openalex.org/C40969351","wikidata":"https://www.wikidata.org/wiki/Q3516228","display_name":"Word error rate","level":2,"score":0.42235666513442993},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.40039604902267456},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.3925032615661621},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34475165605545044},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.14879706501960754},{"id":"https://openalex.org/C14999030","wikidata":"https://www.wikidata.org/wiki/Q16346","display_name":"Speech synthesis","level":2,"score":0.1338808536529541},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/o-cocosda202152914.2021.9660500","is_oa":false,"landing_page_url":"https://doi.org/10.1109/o-cocosda202152914.2021.9660500","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 24th Conference of the Oriental COCOSDA International Committee for the Co-ordination and Standardisation of Speech Databases and Assessment Techniques (O-COCOSDA)","raw_type":"proceedings-article"},{"id":"pmh:oai:eprints.iisc.ac.in:71534","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306401429","display_name":"ePrints@IISc (Indian Institute of Science)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I59270414","host_organization_name":"Indian Institute of Science Bangalore","host_organization_lineage":["https://openalex.org/I59270414"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.7699999809265137}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1494198834","https://openalex.org/W1811093699","https://openalex.org/W1997943028","https://openalex.org/W2020131308","https://openalex.org/W2056323897","https://openalex.org/W2058365472","https://openalex.org/W2080797151","https://openalex.org/W2114793178","https://openalex.org/W2120862844","https://openalex.org/W2127745044","https://openalex.org/W2130858859","https://openalex.org/W2169331804","https://openalex.org/W2744045454","https://openalex.org/W2787908389","https://openalex.org/W2921658481","https://openalex.org/W6631362777","https://openalex.org/W6636915900","https://openalex.org/W6698404450"],"related_works":["https://openalex.org/W13021510","https://openalex.org/W2195354","https://openalex.org/W10951541","https://openalex.org/W6397387","https://openalex.org/W614350","https://openalex.org/W17930835","https://openalex.org/W3296475","https://openalex.org/W8150067","https://openalex.org/W14693337","https://openalex.org/W17150818"],"abstract_inverted_index":{"In":[0],"this":[1,77],"study,":[2],"listeners":[3,233],"of":[4,24,45,92,94,116,138,153,206,223],"varied":[5],"Indian":[6,154,232],"nativities":[7],"are":[8,79,226],"asked":[9],"to":[10,62,113,204,229,235],"listen":[11],"and":[12,42,57,69,86,107,142,156,170,179,188,194],"recognize":[13,31,230],"TIMIT":[14,160,195],"utterances":[15,220],"spoken":[16],"by":[17,231],"American":[18,168,186],"speakers.":[19],"We":[20,99,118,197],"have":[21],"three":[22,82,129,136],"kinds":[23],"responses":[25],"from":[26,111,151,166,175,184,221],"each":[27],"listener":[28],"while":[29],"they":[30],"an":[32],"utterance:":[33],"1.":[34],"Sentence":[35],"difficulty":[36,40,105],"ratings,":[37,41],"2.":[38],"Speaker":[39,214],"3.":[43],"Transcription":[44],"the":[46,64,67,70,90,95,102,108,121,211],"utterance.":[47],"From":[48],"these":[49],"transcriptions,":[50],"word":[51],"error":[52],"rate":[53],"(WER)":[54],"is":[55,202],"calculated":[56],"used":[58],"as":[59],"a":[60],"metric":[61],"evaluate":[63],"similarity":[65],"between":[66],"recognized":[68],"original":[71],"sentences.":[72,117],"The":[73],"sentences":[74],"selected":[75],"in":[76,97],"study":[78],"categorized":[80],"into":[81],"groups:":[83],"Easy,":[84],"Medium":[85],"Hard,":[87],"based":[88],"on":[89,159,173,191],"frequency":[91],"occurrence":[93],"words":[96],"them.":[98],"observe":[100,198],"that":[101,127,199,205,219],"sentence,":[103],"speaker":[104],"ratings":[106],"WERs":[109],"increase":[110],"easy":[112],"hard":[114],"categories":[115],"also":[119],"compare":[120],"human":[122],"speech":[123,131,177,193],"recognition":[124,132],"performance":[125,201],"with":[126,149],"using":[128,164,182],"automatic":[130],"(ASR)":[133],"under":[134],"following":[135],"combinations":[137],"acoustic":[139],"model":[140,144],"(AM)":[141],"language":[143],"(LM):":[145],"ASR1)":[146],"AM":[147,163,181],"trained":[148],"recordings":[150,165,183],"speakers":[152,169,187,222],"origin":[155],"LM":[157,171,189],"built":[158,172],"text,":[161],"ASR2)":[162],"native":[167,185],"text":[174],"LIBRI":[176,192],"corpus,":[178],"ASR3)":[180],"build":[190],"text.":[196],"HSR":[200],"similar":[203],"ASR1":[207],"whereas":[208],"ASR3":[209],"achieves":[210],"best":[212],"performance.":[213],"nativity":[215,225],"wise":[216],"analysis":[217],"shows":[218],"some":[224],"more":[227],"difficult":[228],"compared":[234],"few":[236],"other":[237],"nativities.":[238]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}