{"id":"https://openalex.org/W4393406253","doi":"https://doi.org/10.1109/o-cocosda60357.2023.10482943","title":"CTC-Based End-to-End Speech Recognition for Low Resource Language Sanskrit","display_name":"CTC-Based End-to-End Speech Recognition for Low Resource Language Sanskrit","publication_year":2023,"publication_date":"2023-12-04","ids":{"openalex":"https://openalex.org/W4393406253","doi":"https://doi.org/10.1109/o-cocosda60357.2023.10482943"},"language":"en","primary_location":{"id":"doi:10.1109/o-cocosda60357.2023.10482943","is_oa":false,"landing_page_url":"https://doi.org/10.1109/o-cocosda60357.2023.10482943","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 26th 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":"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/A5010870829","display_name":"Suhani Suhani","orcid":"https://orcid.org/0000-0003-2467-7238"},"institutions":[{"id":"https://openalex.org/I4210143260","display_name":"Indira Gandhi Delhi Technical University for Women","ror":"https://ror.org/057c5p638","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210143260"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Suhani","raw_affiliation_strings":["Indira Gandhi Delhi Technical University for Women (IGDTUW),Dept. of Information Technology,New Delhi,India","Dept. of Information Technology, Indira Gandhi Delhi Technical University for Women (IGDTUW), New Delhi, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indira Gandhi Delhi Technical University for Women (IGDTUW),Dept. of Information Technology,New Delhi,India","institution_ids":["https://openalex.org/I4210143260"]},{"raw_affiliation_string":"Dept. of Information Technology, Indira Gandhi Delhi Technical University for Women (IGDTUW), New Delhi, India","institution_ids":["https://openalex.org/I4210143260"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022991626","display_name":"Amita Dev","orcid":"https://orcid.org/0000-0002-6926-9433"},"institutions":[{"id":"https://openalex.org/I4210143260","display_name":"Indira Gandhi Delhi Technical University for Women","ror":"https://ror.org/057c5p638","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210143260"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Amita Dev","raw_affiliation_strings":["Indira Gandhi Delhi Technical University for Women (IGDTUW),Dept. of Information Technology,New Delhi,India","Dept. of Information Technology, Indira Gandhi Delhi Technical University for Women (IGDTUW), New Delhi, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indira Gandhi Delhi Technical University for Women (IGDTUW),Dept. of Information Technology,New Delhi,India","institution_ids":["https://openalex.org/I4210143260"]},{"raw_affiliation_string":"Dept. of Information Technology, Indira Gandhi Delhi Technical University for Women (IGDTUW), New Delhi, India","institution_ids":["https://openalex.org/I4210143260"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102886753","display_name":"Poonam Bansal","orcid":"https://orcid.org/0000-0002-8214-2840"},"institutions":[{"id":"https://openalex.org/I4210143260","display_name":"Indira Gandhi Delhi Technical University for Women","ror":"https://ror.org/057c5p638","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210143260"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Poonam Bansal","raw_affiliation_strings":["Indira Gandhi Delhi Technical University for Women (IGDTUW),Dept. of AI & DS,New Delhi,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indira Gandhi Delhi Technical University for Women (IGDTUW),Dept. of AI & DS,New Delhi,India","institution_ids":["https://openalex.org/I4210143260"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3263,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.6806727,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"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":0.9959999918937683,"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":0.9959999918937683,"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":0.9929999709129333,"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/end-to-end-principle","display_name":"End-to-end principle","score":0.8086154460906982},{"id":"https://openalex.org/keywords/sanskrit","display_name":"Sanskrit","score":0.743367075920105},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6904302835464478},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5328837633132935},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2518218159675598},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.1751861274242401},{"id":"https://openalex.org/keywords/philosophy","display_name":"Philosophy","score":0.05321517586708069}],"concepts":[{"id":"https://openalex.org/C74296488","wikidata":"https://www.wikidata.org/wiki/Q2527392","display_name":"End-to-end principle","level":2,"score":0.8086154460906982},{"id":"https://openalex.org/C29912816","wikidata":"https://www.wikidata.org/wiki/Q11059","display_name":"Sanskrit","level":2,"score":0.743367075920105},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6904302835464478},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5328837633132935},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2518218159675598},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.1751861274242401},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.05321517586708069}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/o-cocosda60357.2023.10482943","is_oa":false,"landing_page_url":"https://doi.org/10.1109/o-cocosda60357.2023.10482943","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 26th 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"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.6200000047683716,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W650285027","https://openalex.org/W1572961463","https://openalex.org/W1678581785","https://openalex.org/W1972536245","https://openalex.org/W2094058414","https://openalex.org/W2282388607","https://openalex.org/W2426605569","https://openalex.org/W2519091744","https://openalex.org/W2773703466","https://openalex.org/W3006119204","https://openalex.org/W3173649224","https://openalex.org/W3199183682","https://openalex.org/W4229456977","https://openalex.org/W4297841269","https://openalex.org/W4312608142","https://openalex.org/W4327773557","https://openalex.org/W4362716491","https://openalex.org/W4372048985","https://openalex.org/W4385233554","https://openalex.org/W6603785465","https://openalex.org/W6634235148","https://openalex.org/W6695543552","https://openalex.org/W7008866586"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2802427415","https://openalex.org/W2620810496","https://openalex.org/W4210574062","https://openalex.org/W4206712636","https://openalex.org/W2064780833","https://openalex.org/W2315373242","https://openalex.org/W4382808597","https://openalex.org/W4385471946","https://openalex.org/W1967221745"],"abstract_inverted_index":{"Automatic":[0],"Speech":[1],"Recognition":[2],"(ASR)":[3],"has":[4,63,152],"grown":[5],"enormously":[6],"over":[7],"the":[8,28,91,126,137,149],"past":[9],"ten":[10],"years,":[11],"attracting":[12],"much":[13],"interest":[14],"and":[15,22,49,62,119,180,189],"attention.":[16],"Implementing":[17],"their":[18],"systems,":[19],"language":[20,45,172],"adaption,":[21],"performance":[23],"robustness":[24],"remain":[25],"some":[26],"of":[27,69,105,139,166],"major":[29],"obstacles.":[30],"Sanskrit":[31,121],"presents":[32],"a":[33,42,70,73,95,99,183],"challenge":[34],"for":[35,163,176],"developing":[36],"such":[37],"systems":[38],"since":[39],"it":[40],"is":[41,55,83,133,174],"more":[43,187],"complex":[44],"than":[46],"other":[47],"languages":[48],"lacks":[50],"common":[51],"databases.":[52],"Deep":[53],"learning":[54],"widely":[56],"applied":[57],"in":[58,185],"numerous":[59],"study":[60,108],"domains":[61],"established":[64],"greater":[65],"importance.":[66],"The":[67,158],"capability":[68],"machine":[71],"or":[72,79,101],"program":[74],"to":[75,80,93,110,135,155,192],"recognize":[76,156],"spoken":[77],"statements":[78],"translate":[81],"speech":[82,87,122],"known":[84],"as":[85],"automated":[86,164],"recognition.":[88],"It":[89],"requires":[90],"ability":[92],"contrast":[94],"vocal":[96],"pattern":[97],"with":[98],"pre-existing":[100],"previously":[102],"learned":[103],"set":[104],"words.":[106],"This":[107],"aims":[109],"develop":[111],"an":[112],"effectively":[113],"optimized":[114],"recurrent":[115],"neural":[116],"network":[117],"(RNN)":[118],"CNN-based":[120],"recognition":[123],"system.":[124],"Additionally,":[125],"Connectionist":[127],"Temporal":[128],"Classification":[129],"(CTC)":[130],"loss":[131],"function":[132],"employed":[134],"increase":[136],"likelihood":[138],"accurate":[140],"transcription.":[141],"Using":[142],"46,000":[143],"utterances":[144],"from":[145],"27":[146],"distinct":[147],"speakers,":[148],"algorithm":[150],"research":[151],"been":[153],"trained":[154],"Sanskrit.":[157],"experimental":[159],"results":[160],"show":[161],"potential":[162],"processing":[165,171],"valuable":[167],"information":[168],"extraction.":[169],"Accurately":[170],"accents":[173],"essential":[175],"successful":[177],"human":[178],"interaction,":[179],"this":[181,194],"plays":[182],"role":[184],"advancing":[186],"streamlined":[188],"efficient":[190],"approaches":[191],"accomplish":[193],"objective.":[195]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}