{"id":"https://openalex.org/W2766948321","doi":"https://doi.org/10.1109/ncc.2017.8077100","title":"Towards bootstrapping Acoustic Models for resource poor Indian languages","display_name":"Towards bootstrapping Acoustic Models for resource poor Indian languages","publication_year":2017,"publication_date":"2017-03-01","ids":{"openalex":"https://openalex.org/W2766948321","doi":"https://doi.org/10.1109/ncc.2017.8077100","mag":"2766948321"},"language":"en","primary_location":{"id":"doi:10.1109/ncc.2017.8077100","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ncc.2017.8077100","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 Twenty-third National Conference on Communications (NCC)","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/A5101330599","display_name":"Prabhat Pandey","orcid":"https://orcid.org/0000-0003-0267-751X"},"institutions":[{"id":"https://openalex.org/I4210162141","display_name":"Microsoft (India)","ror":"https://ror.org/04ww0w091","country_code":"IN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210162141"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Prabhat Pandey","raw_affiliation_strings":["Microsoft India Development Center, Hyderabad, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft India Development Center, Hyderabad, India","institution_ids":["https://openalex.org/I4210162141"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024992355","display_name":"Praful Hebbar","orcid":null},"institutions":[{"id":"https://openalex.org/I4210162141","display_name":"Microsoft (India)","ror":"https://ror.org/04ww0w091","country_code":"IN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210162141"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Praful Hebbar","raw_affiliation_strings":["Microsoft India Development Center, Hyderabad, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft India Development Center, Hyderabad, India","institution_ids":["https://openalex.org/I4210162141"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029981959","display_name":"Prashant Borole","orcid":null},"institutions":[{"id":"https://openalex.org/I4210162141","display_name":"Microsoft (India)","ror":"https://ror.org/04ww0w091","country_code":"IN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210162141"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Prashant Borole","raw_affiliation_strings":["Microsoft India Development Center, Hyderabad, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft India Development Center, Hyderabad, India","institution_ids":["https://openalex.org/I4210162141"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049560935","display_name":"Sandeep Satpal","orcid":null},"institutions":[{"id":"https://openalex.org/I4210162141","display_name":"Microsoft (India)","ror":"https://ror.org/04ww0w091","country_code":"IN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210162141"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sandeep Satpal","raw_affiliation_strings":["Microsoft India Development Center, Hyderabad, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft India Development Center, Hyderabad, India","institution_ids":["https://openalex.org/I4210162141"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051558245","display_name":"Raveesh Motlani","orcid":null},"institutions":[{"id":"https://openalex.org/I4210162141","display_name":"Microsoft (India)","ror":"https://ror.org/04ww0w091","country_code":"IN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210162141"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Raveesh Motlani","raw_affiliation_strings":["Microsoft India Development Center, Hyderabad, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft India Development Center, Hyderabad, India","institution_ids":["https://openalex.org/I4210162141"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065369619","display_name":"Rupesh Mehta","orcid":null},"institutions":[{"id":"https://openalex.org/I4210162141","display_name":"Microsoft (India)","ror":"https://ror.org/04ww0w091","country_code":"IN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210162141"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Rupesh Mehta","raw_affiliation_strings":["Microsoft India Development Center, Hyderabad, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft India Development Center, Hyderabad, India","institution_ids":["https://openalex.org/I4210162141"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035984463","display_name":"Niranjan Nayak","orcid":"https://orcid.org/0000-0002-3803-798X"},"institutions":[{"id":"https://openalex.org/I4210162141","display_name":"Microsoft (India)","ror":"https://ror.org/04ww0w091","country_code":"IN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210162141"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Niranjan Nayak","raw_affiliation_strings":["Microsoft India Development Center, Hyderabad, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft India Development Center, Hyderabad, India","institution_ids":["https://openalex.org/I4210162141"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103785920","display_name":"Radhakrishnan Srikanth","orcid":null},"institutions":[{"id":"https://openalex.org/I4210162141","display_name":"Microsoft (India)","ror":"https://ror.org/04ww0w091","country_code":"IN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210162141"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Radhakrishnan Srikanth","raw_affiliation_strings":["Microsoft India Development Center, Hyderabad, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft India Development Center, Hyderabad, India","institution_ids":["https://openalex.org/I4210162141"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210162141"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","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/T10201","display_name":"Speech Recognition and Synthesis","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/T10181","display_name":"Natural Language Processing Techniques","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/T11309","display_name":"Music and Audio Processing","score":0.9986000061035156,"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/hindi","display_name":"Hindi","score":0.9281871318817139},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8148853778839111},{"id":"https://openalex.org/keywords/code-mixing","display_name":"Code-mixing","score":0.7065814733505249},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6416794061660767},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6410034894943237},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.580906093120575},{"id":"https://openalex.org/keywords/bootstrapping","display_name":"Bootstrapping (finance)","score":0.5352545380592346},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5123013257980347},{"id":"https://openalex.org/keywords/mixing","display_name":"Mixing (physics)","score":0.46051469445228577},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.43646299839019775},{"id":"https://openalex.org/keywords/code-switching","display_name":"Code-switching","score":0.37243902683258057},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.22490301728248596},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.1659337282180786},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.08643168210983276},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.08470839262008667},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08138597011566162}],"concepts":[{"id":"https://openalex.org/C519982507","wikidata":"https://www.wikidata.org/wiki/Q1568","display_name":"Hindi","level":2,"score":0.9281871318817139},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8148853778839111},{"id":"https://openalex.org/C2778598016","wikidata":"https://www.wikidata.org/wiki/Q3201279","display_name":"Code-mixing","level":3,"score":0.7065814733505249},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6416794061660767},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6410034894943237},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.580906093120575},{"id":"https://openalex.org/C207609745","wikidata":"https://www.wikidata.org/wiki/Q4944086","display_name":"Bootstrapping (finance)","level":2,"score":0.5352545380592346},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5123013257980347},{"id":"https://openalex.org/C138777275","wikidata":"https://www.wikidata.org/wiki/Q6884054","display_name":"Mixing (physics)","level":2,"score":0.46051469445228577},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.43646299839019775},{"id":"https://openalex.org/C18552078","wikidata":"https://www.wikidata.org/wiki/Q255615","display_name":"Code-switching","level":2,"score":0.37243902683258057},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.22490301728248596},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.1659337282180786},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.08643168210983276},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.08470839262008667},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08138597011566162},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","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},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ncc.2017.8077100","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ncc.2017.8077100","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 Twenty-third National Conference on Communications (NCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.44999998807907104,"id":"https://metadata.un.org/sdg/1","display_name":"No poverty"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W217970951","https://openalex.org/W1618885279","https://openalex.org/W1779680350","https://openalex.org/W1987238397","https://openalex.org/W2025198378","https://openalex.org/W2127982613","https://openalex.org/W2147768505","https://openalex.org/W2294108103","https://openalex.org/W2294543795","https://openalex.org/W6608710415"],"related_works":["https://openalex.org/W4205878333","https://openalex.org/W2058598214","https://openalex.org/W2755033583","https://openalex.org/W2508660901","https://openalex.org/W1485736417","https://openalex.org/W3166060075","https://openalex.org/W4389308877","https://openalex.org/W153744606","https://openalex.org/W3181795562","https://openalex.org/W2938595889"],"abstract_inverted_index":{"There":[0],"are":[1,53,75],"several":[2],"challenges":[3,69],"while":[4],"building":[5],"Automatic":[6],"Speech":[7],"Recognition":[8],"(ASR)":[9],"system":[10],"for":[11,91,155],"low":[12],"resource":[13],"languages":[14],"such":[15],"as":[16,49,70,72,151],"Indic":[17],"languages.":[18],"One":[19],"problem":[20,86],"is":[21,47],"the":[22,39,73,85,113,116,140,156],"access":[23],"to":[24,31,119],"large":[25],"amounts":[26],"of":[27,41,61,77,87,115,139],"training":[28,88],"data":[29,95],"required":[30],"build":[32],"Acoustic":[33],"Models":[34],"(AM)":[35],"from":[36,129],"scratch.":[37],"In":[38,80],"context":[40],"Indian":[42,51,130],"English,":[43],"another":[44],"challenge":[45],"encountered":[46],"code-mixing":[48,57,71,143],"many":[50],"speakers":[52],"multilingual":[54],"and":[55,123,144,148],"exhibit":[56],"in":[58,106,159],"their":[59],"use":[60],"language.":[62],"Recognizing":[63],"named":[64,145],"entities":[65,74],"also":[66,149],"poses":[67],"similar":[68],"often":[76],"Hindi":[78,92,121,164],"origin.":[79],"this":[81,105,135],"paper":[82],"we":[83,111,161],"address":[84],"an":[89],"AM":[90],"with":[93,97,142],"limited":[94],"starting":[96],"a":[98,152,163],"well":[99],"trained":[100],"English":[101,117],"model.":[102],"We":[103,132],"do":[104],"two":[107],"steps":[108],"\u2014":[109],"first":[110],"expand":[112],"phonesets":[114],"model":[118,154],"include":[120],"phones":[122],"train":[124,162],"it":[125],"on":[126],"samples":[127],"collected":[128],"speakers.":[131],"show":[133],"that":[134],"step":[136,158],"addresses":[137],"some":[138],"issues":[141],"entity":[146],"recognition":[147],"acts":[150],"base":[153],"second":[157],"which":[160],"AM.":[165]},"counts_by_year":[],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}
