{"id":"https://openalex.org/W2765436534","doi":"https://doi.org/10.1109/ncc.2017.8077041","title":"Addressing data sparsity in DNN acoustic modeling","display_name":"Addressing data sparsity in DNN acoustic modeling","publication_year":2017,"publication_date":"2017-03-01","ids":{"openalex":"https://openalex.org/W2765436534","doi":"https://doi.org/10.1109/ncc.2017.8077041","mag":"2765436534"},"language":"en","primary_location":{"id":"doi:10.1109/ncc.2017.8077041","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ncc.2017.8077041","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/A5055739744","display_name":"Tejaswi Seeram","orcid":null},"institutions":[{"id":"https://openalex.org/I24676775","display_name":"Indian Institute of Technology Madras","ror":"https://ror.org/03v0r5n49","country_code":"IN","type":"education","lineage":["https://openalex.org/I24676775"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Seeram Tejaswi","raw_affiliation_strings":["Department of Electrical Engineering, Indian Institute of Technology, Madras, Chennai, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Indian Institute of Technology, Madras, Chennai, India","institution_ids":["https://openalex.org/I24676775"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085660348","display_name":"S. Umesh","orcid":"https://orcid.org/0000-0002-5957-1444"},"institutions":[{"id":"https://openalex.org/I24676775","display_name":"Indian Institute of Technology Madras","ror":"https://ror.org/03v0r5n49","country_code":"IN","type":"education","lineage":["https://openalex.org/I24676775"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"S Umesh","raw_affiliation_strings":["Department of Electrical Engineering, Indian Institute of Technology, Madras, Chennai, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Indian Institute of Technology, Madras, Chennai, India","institution_ids":["https://openalex.org/I24676775"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I24676775"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"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":0.9984999895095825,"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/T10860","display_name":"Speech and Audio Processing","score":0.9983999729156494,"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/computer-science","display_name":"Computer science","score":0.8050627708435059},{"id":"https://openalex.org/keywords/telugu","display_name":"Telugu","score":0.6998270750045776},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6930294036865234},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.6448526382446289},{"id":"https://openalex.org/keywords/multi-task-learning","display_name":"Multi-task learning","score":0.5921355485916138},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5543404221534729},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.551287829875946},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5248777270317078},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.44888511300086975},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.44749659299850464},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.427884578704834},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4263358414173126},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.39932340383529663},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07059800624847412}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8050627708435059},{"id":"https://openalex.org/C2778756302","wikidata":"https://www.wikidata.org/wiki/Q8097","display_name":"Telugu","level":2,"score":0.6998270750045776},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6930294036865234},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.6448526382446289},{"id":"https://openalex.org/C28006648","wikidata":"https://www.wikidata.org/wiki/Q6934509","display_name":"Multi-task learning","level":3,"score":0.5921355485916138},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5543404221534729},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.551287829875946},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5248777270317078},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.44888511300086975},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.44749659299850464},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.427884578704834},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4263358414173126},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.39932340383529663},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07059800624847412},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ncc.2017.8077041","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ncc.2017.8077041","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":[{"id":"https://metadata.un.org/sdg/4","score":0.550000011920929,"display_name":"Quality Education"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321071","display_name":"Department of Electronics and Information Technology, Ministry of Communications and Information Technology","ror":"https://ror.org/02z31cn83"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1524333225","https://openalex.org/W1734538896","https://openalex.org/W1981706894","https://openalex.org/W2013205774","https://openalex.org/W2025198378","https://openalex.org/W2038810952","https://openalex.org/W2038909419","https://openalex.org/W2091746061","https://openalex.org/W2141820854","https://openalex.org/W2160815625","https://openalex.org/W2165698076","https://openalex.org/W2184045248","https://openalex.org/W2291975472","https://openalex.org/W2346660049","https://openalex.org/W2512688611","https://openalex.org/W2913340405","https://openalex.org/W2963522845","https://openalex.org/W6631362777"],"related_works":["https://openalex.org/W4206357785","https://openalex.org/W4281381188","https://openalex.org/W3192840557","https://openalex.org/W2951211570","https://openalex.org/W4375928479","https://openalex.org/W3167935049","https://openalex.org/W3023427754","https://openalex.org/W3131673289","https://openalex.org/W4393011546","https://openalex.org/W3198847674"],"abstract_inverted_index":{"This":[0,18],"paper":[1],"presents":[2],"our":[3],"work":[4],"on":[5,155],"developing":[6],"acoustic":[7],"models":[8,56],"using":[9],"deep":[10],"neural":[11],"networks":[12],"(DNN)":[13],"for":[14,38,126],"low":[15,63,82,111],"resource":[16,59,64,83,91,112],"languages.":[17],"is":[19,166],"considered":[20],"one":[21,101],"of":[22,36,52,57,72,105,150],"the":[23,99,147],"challenging":[24],"problems":[25],"in":[26,45,168],"automatic":[27],"speech":[28],"recognition":[29],"(ASR)":[30],"as":[31,122],"DNNs":[32],"need":[33],"large":[34],"amount":[35],"data":[37,79,161],"building":[39,73],"efficient":[40],"models.":[41],"The":[42,140],"techniques":[43],"explored":[44],"this":[46],"approach":[47,71,96,117],"use":[48],"a":[49,62,74,81,87,106,123,127],"common":[50,75,128],"idea":[51],"transferring":[53],"knowledge":[54],"from":[55,80],"high":[58,90],"language":[60,84,121],"to":[61,145],"language.":[65],"These":[66],"methods":[67],"include:":[68],"(i)":[69],"cross-lingual":[70],"DNN":[76,108],"model":[77,109,129],"with":[78,86,110],"pooled":[85,107],"linguistically":[88],"close":[89],"language,":[92],"(ii)":[93],"transfer":[94],"learning":[95,116],"by":[97,118],"adapting":[98],"top":[100],"or":[102],"more":[103],"layers":[104],"data,":[113],"(iii)":[114],"multitask":[115],"treating":[119],"each":[120],"separate":[124],"task":[125],"trained":[130],"over":[131,171],"multiple":[132],"related":[133],"tasks":[134],"simultaneously,":[135],"which":[136],"alleviates":[137],"over-fitting":[138],"problems.":[139],"multi-task":[141,169],"method":[142],"was":[143],"found":[144],"be":[146],"most":[148],"effective":[149],"all.":[151],"Experiments":[152],"were":[153],"done":[154],"Kannada":[156],"(low":[157],"resource)":[158],"and":[159,162],"Telugu":[160],"46%":[163],"relative":[164],"improvement":[165],"observed":[167],"framework":[170],"its":[172],"mono-lingual":[173],"DNN.":[174]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}