{"id":"https://openalex.org/W3011013680","doi":"https://doi.org/10.1109/icca49400.2020.9022808","title":"Time Delay Neural Network for Myanmar Automatic Speech Recognition","display_name":"Time Delay Neural Network for Myanmar Automatic Speech Recognition","publication_year":2020,"publication_date":"2020-02-01","ids":{"openalex":"https://openalex.org/W3011013680","doi":"https://doi.org/10.1109/icca49400.2020.9022808","mag":"3011013680"},"language":"en","primary_location":{"id":"doi:10.1109/icca49400.2020.9022808","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icca49400.2020.9022808","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Conference on Computer Applications(ICCA)","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/A5051925641","display_name":"Myat Aye Aye Aung","orcid":null},"institutions":[{"id":"https://openalex.org/I80293557","display_name":"University of Computer Studies Yangon","ror":"https://ror.org/019ad8130","country_code":"MM","type":"education","lineage":["https://openalex.org/I80293557"]}],"countries":["MM"],"is_corresponding":true,"raw_author_name":"Myat Aye Aye Aung","raw_affiliation_strings":["Natural Language Processing Lab, University of Computer Studies, Yangon, Yangon, Myanmar","University of Computer Studies,Natural Language Processing Lab,Yangon,Yangon,Myanmar"],"affiliations":[{"raw_affiliation_string":"Natural Language Processing Lab, University of Computer Studies, Yangon, Yangon, Myanmar","institution_ids":["https://openalex.org/I80293557"]},{"raw_affiliation_string":"University of Computer Studies,Natural Language Processing Lab,Yangon,Yangon,Myanmar","institution_ids":["https://openalex.org/I80293557"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038930719","display_name":"Win Pa Pa","orcid":null},"institutions":[{"id":"https://openalex.org/I80293557","display_name":"University of Computer Studies Yangon","ror":"https://ror.org/019ad8130","country_code":"MM","type":"education","lineage":["https://openalex.org/I80293557"]}],"countries":["MM"],"is_corresponding":false,"raw_author_name":"Win Pa Pa","raw_affiliation_strings":["Natural Language Processing Lab, University of Computer Studies, Yangon, Yangon, Myanmar","University of Computer Studies,Natural Language Processing Lab,Yangon,Yangon,Myanmar"],"affiliations":[{"raw_affiliation_string":"Natural Language Processing Lab, University of Computer Studies, Yangon, Yangon, Myanmar","institution_ids":["https://openalex.org/I80293557"]},{"raw_affiliation_string":"University of Computer Studies,Natural Language Processing Lab,Yangon,Yangon,Myanmar","institution_ids":["https://openalex.org/I80293557"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5051925641"],"corresponding_institution_ids":["https://openalex.org/I80293557"],"apc_list":null,"apc_paid":null,"fwci":0.9279,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.79780027,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"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":0.9995999932289124,"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":0.9995999932289124,"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":0.9968000054359436,"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/T11309","display_name":"Music and Audio Processing","score":0.9941999912261963,"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":0.8259394764900208},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.718982994556427},{"id":"https://openalex.org/keywords/time-delay-neural-network","display_name":"Time delay neural network","score":0.7099241018295288},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6850445866584778},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.6012707352638245},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5951329469680786},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5519718527793884},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5399418473243713},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3676772713661194},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.32319778203964233}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8259394764900208},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.718982994556427},{"id":"https://openalex.org/C175202392","wikidata":"https://www.wikidata.org/wiki/Q2434543","display_name":"Time delay neural network","level":3,"score":0.7099241018295288},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6850445866584778},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.6012707352638245},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5951329469680786},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5519718527793884},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5399418473243713},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3676772713661194},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.32319778203964233},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icca49400.2020.9022808","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icca49400.2020.9022808","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Conference on Computer Applications(ICCA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.4099999964237213,"display_name":"Quality Education"},{"id":"https://metadata.un.org/sdg/5","score":0.4000000059604645,"display_name":"Gender equality"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1524333225","https://openalex.org/W1631260214","https://openalex.org/W2001575058","https://openalex.org/W2112021726","https://openalex.org/W2117671523","https://openalex.org/W2124530615","https://openalex.org/W2155273149","https://openalex.org/W2291624303","https://openalex.org/W2402146185","https://openalex.org/W2742699532","https://openalex.org/W2808087148","https://openalex.org/W2982424756","https://openalex.org/W6631362777","https://openalex.org/W6636811518","https://openalex.org/W6676587989","https://openalex.org/W6678640178","https://openalex.org/W6712930963"],"related_works":["https://openalex.org/W2136763963","https://openalex.org/W2109705048","https://openalex.org/W2940588515","https://openalex.org/W1909151225","https://openalex.org/W2160030256","https://openalex.org/W1521297879","https://openalex.org/W4253235840","https://openalex.org/W3151937861","https://openalex.org/W1584270863","https://openalex.org/W2603525251"],"abstract_inverted_index":{"Time":[0],"Delay":[1],"Neural":[2,137,142],"Network":[3,138,143],"(TDNN)":[4],"contains":[5,82],"in":[6,18,30,51,76],"neural":[7],"network":[8],"architectures.":[9],"In":[10],"Automatic":[11],"Speech":[12],"Recognition,":[13],"TDNN":[14,44,119,165],"is":[15,56,63,74,98,123,147],"strong":[16],"possibility":[17],"context":[19],"modeling":[20],"and":[21,24,72,89,101,104,107,112,140,155,169],"recognizes":[22],"phonemes":[23],"acoustic":[25,46],"features,":[26],"independent":[27],"of":[28,66,95,118],"position":[29],"time.":[31],"There":[32],"are":[33],"many":[34],"techniques":[35],"have":[36],"been":[37],"applied":[38,75],"for":[39,48,120],"improving":[40],"Myanmar":[41,49,54,121],"speech":[42,80],"processing.":[43],"based":[45],"model":[47],"ASR":[50,122],"this":[52,77],"paper.":[53],"language":[55,60],"a":[57,64,133],"low":[58],"resource":[59],"because":[61],"there":[62],"lack":[65],"pre-collected":[67],"data.":[68,92,159],"A":[69],"larger":[70],"dataset":[71],"lexicon":[73],"work.":[78],"The":[79,93,116,160],"corpus":[81,97],"three":[83],"domain:":[84],"Names,":[85],"Web":[86],"News":[87],"data":[88],"Daily":[90],"conversational":[91,158],"size":[94],"the":[96],"77":[99],"Hrs":[100],"2":[102,149],"Mins":[103],"11":[105],"Secs":[106],"include":[108],"233":[109],"female":[110],"speakers":[111],"97":[113],"male":[114],"speakers.":[115],"performance":[117],"shown":[124],"by":[125],"comparing":[126],"with":[127],"Gaussian":[128],"Mixture":[129],"Model":[130],"(GMM)":[131],"as":[132],"baseline":[134],"system,":[135],"Deep":[136],"(DNN)":[139],"Convolutional":[141],"(CNN).":[144],"Experiments":[145],"evaluation":[146],"used":[148],"test":[150],"data:":[151],"TestSet1,":[152],"web":[153],"news":[154],"TestSet2,":[156],"recorded":[157],"experimental":[161],"results":[162],"show":[163],"that":[164],"outperforms":[166],"GMM-HMM,":[167],"DNN":[168],"CNN.":[170]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}