{"id":"https://openalex.org/W3007479143","doi":"https://doi.org/10.1109/asru46091.2019.9003802","title":"Neural Machine Translation with Acoustic Embedding","display_name":"Neural Machine Translation with Acoustic Embedding","publication_year":2019,"publication_date":"2019-12-01","ids":{"openalex":"https://openalex.org/W3007479143","doi":"https://doi.org/10.1109/asru46091.2019.9003802","mag":"3007479143"},"language":"en","primary_location":{"id":"doi:10.1109/asru46091.2019.9003802","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asru46091.2019.9003802","pdf_url":null,"source":{"id":"https://openalex.org/S4306498489","display_name":"2019 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU)","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/A5042592085","display_name":"Takatomo Kano","orcid":"https://orcid.org/0000-0001-9693-3785"},"institutions":[{"id":"https://openalex.org/I75917431","display_name":"Nara Institute of Science and Technology","ror":"https://ror.org/05bhada84","country_code":"JP","type":"education","lineage":["https://openalex.org/I75917431"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Takatomo Kano","raw_affiliation_strings":["Nara Institute of Science and Technology, Japan"],"affiliations":[{"raw_affiliation_string":"Nara Institute of Science and Technology, Japan","institution_ids":["https://openalex.org/I75917431"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040108974","display_name":"Sakriani Sakti","orcid":"https://orcid.org/0000-0001-5509-8963"},"institutions":[{"id":"https://openalex.org/I4210126580","display_name":"RIKEN Center for Advanced Intelligence Project","ror":"https://ror.org/03ckxwf91","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210110652","https://openalex.org/I4210126580"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Sakriani Sakti","raw_affiliation_strings":["RIKEN, Center for Advanced Intelligence Project AIP, Japan"],"affiliations":[{"raw_affiliation_string":"RIKEN, Center for Advanced Intelligence Project AIP, Japan","institution_ids":["https://openalex.org/I4210126580"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020994673","display_name":"Satoshi Nakamura","orcid":"https://orcid.org/0000-0001-6956-3803"},"institutions":[{"id":"https://openalex.org/I4210126580","display_name":"RIKEN Center for Advanced Intelligence Project","ror":"https://ror.org/03ckxwf91","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210110652","https://openalex.org/I4210126580"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Satoshi Nakamura","raw_affiliation_strings":["RIKEN, Center for Advanced Intelligence Project AIP, Japan"],"affiliations":[{"raw_affiliation_string":"RIKEN, Center for Advanced Intelligence Project AIP, Japan","institution_ids":["https://openalex.org/I4210126580"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5042592085"],"corresponding_institution_ids":["https://openalex.org/I75917431"],"apc_list":null,"apc_paid":null,"fwci":0.1443,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.61657956,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"abs 1609 3499","issue":null,"first_page":"578","last_page":"584"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","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/T10181","display_name":"Natural Language Processing Techniques","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/T10028","display_name":"Topic Modeling","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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.8457733392715454},{"id":"https://openalex.org/keywords/machine-translation","display_name":"Machine translation","score":0.7619659900665283},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6922089457511902},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6325206756591797},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.6134233474731445},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.6042406558990479},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.5315945744514465},{"id":"https://openalex.org/keywords/pronunciation","display_name":"Pronunciation","score":0.5041202306747437},{"id":"https://openalex.org/keywords/word-embedding","display_name":"Word embedding","score":0.49568331241607666},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.4736902713775635},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.47367602586746216},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.4687982201576233},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.45877063274383545},{"id":"https://openalex.org/keywords/rule-based-machine-translation","display_name":"Rule-based machine translation","score":0.4227403700351715},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.12919211387634277}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8457733392715454},{"id":"https://openalex.org/C203005215","wikidata":"https://www.wikidata.org/wiki/Q79798","display_name":"Machine translation","level":2,"score":0.7619659900665283},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6922089457511902},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6325206756591797},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.6134233474731445},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.6042406558990479},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.5315945744514465},{"id":"https://openalex.org/C2780844864","wikidata":"https://www.wikidata.org/wiki/Q184377","display_name":"Pronunciation","level":2,"score":0.5041202306747437},{"id":"https://openalex.org/C2777462759","wikidata":"https://www.wikidata.org/wiki/Q18395344","display_name":"Word embedding","level":3,"score":0.49568331241607666},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.4736902713775635},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.47367602586746216},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.4687982201576233},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.45877063274383545},{"id":"https://openalex.org/C53893814","wikidata":"https://www.wikidata.org/wiki/Q7378909","display_name":"Rule-based machine translation","level":2,"score":0.4227403700351715},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.12919211387634277},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/asru46091.2019.9003802","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asru46091.2019.9003802","pdf_url":null,"source":{"id":"https://openalex.org/S4306498489","display_name":"2019 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU)","raw_type":"proceedings-article"},{"id":"mag:3091835714","is_oa":false,"landing_page_url":"https://jglobal.jst.go.jp/en/detail?JGLOBAL_ID=202002246004321500","pdf_url":null,"source":{"id":"https://openalex.org/S4306512817","display_name":"IEEE Conference Proceedings","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"IEEE Conference Proceedings","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6899999976158142,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":57,"referenced_works":["https://openalex.org/W206967138","https://openalex.org/W854541894","https://openalex.org/W1522301498","https://openalex.org/W1810943226","https://openalex.org/W1880262756","https://openalex.org/W2107638917","https://openalex.org/W2124807415","https://openalex.org/W2130942839","https://openalex.org/W2133564696","https://openalex.org/W2161742089","https://openalex.org/W2194775991","https://openalex.org/W2513263213","https://openalex.org/W2519091744","https://openalex.org/W2525778437","https://openalex.org/W2527133236","https://openalex.org/W2539201987","https://openalex.org/W2553522418","https://openalex.org/W2573728411","https://openalex.org/W2584505851","https://openalex.org/W2594610113","https://openalex.org/W2605131327","https://openalex.org/W2605202026","https://openalex.org/W2613904329","https://openalex.org/W2772556289","https://openalex.org/W2889336589","https://openalex.org/W2892140764","https://openalex.org/W2936969148","https://openalex.org/W2939833446","https://openalex.org/W2949810612","https://openalex.org/W2962680099","https://openalex.org/W2962708992","https://openalex.org/W2963201387","https://openalex.org/W2963403868","https://openalex.org/W2963609956","https://openalex.org/W2963876447","https://openalex.org/W2964121744","https://openalex.org/W2964265128","https://openalex.org/W2964308564","https://openalex.org/W4231510805","https://openalex.org/W4297780100","https://openalex.org/W4385245566","https://openalex.org/W6608432165","https://openalex.org/W6623517193","https://openalex.org/W6631190155","https://openalex.org/W6638273328","https://openalex.org/W6639619044","https://openalex.org/W6679434410","https://openalex.org/W6679436768","https://openalex.org/W6727750185","https://openalex.org/W6728769855","https://openalex.org/W6729887601","https://openalex.org/W6731891069","https://openalex.org/W6736180185","https://openalex.org/W6737778391","https://openalex.org/W6739901393","https://openalex.org/W6743420735","https://openalex.org/W6754925833"],"related_works":["https://openalex.org/W2953234277","https://openalex.org/W2626256601","https://openalex.org/W147410782","https://openalex.org/W2900413183","https://openalex.org/W2183593636","https://openalex.org/W4390975304","https://openalex.org/W2350724007","https://openalex.org/W2355751417","https://openalex.org/W3022252430","https://openalex.org/W4287804464"],"abstract_inverted_index":{"Neural":[0],"machine":[1,13],"translation":[2,14,24],"(NMT)":[3],"has":[4],"successfully":[5],"redefined":[6],"the":[7,10,23,36,47,62,71,94,100,103,111,147,170],"state":[8],"of":[9,38,49,102],"art":[11],"in":[12,35,61,93,176],"on":[15,137,152],"several":[16],"language":[17],"pairs.":[18],"One":[19],"popular":[20],"framework":[21],"models":[22],"process":[25],"end-to-end":[26],"using":[27],"attentional":[28],"encoder-decoder":[29],"architecture":[30],"and":[31,51,65,132,140,155],"treats":[32],"each":[33,59],"word":[34,134,150],"vectors":[37,43],"intermediate":[39],"representation.":[40],"These":[41],"embedding":[42],"are":[44],"sensitive":[45],"to":[46,56,130],"meaning":[48,154],"words":[50,55,77,89],"allow":[52],"semantically":[53],"similar":[54,76],"be":[57],"near":[58],"other":[60],"vector":[63],"spaces":[64],"share":[66],"their":[67,138],"statistical":[68],"power.":[69],"Unfortunately,":[70],"model":[72,127,175],"often":[73,87],"maps":[74],"such":[75],"too":[78],"closely,":[79],"which":[80],"complicates":[81],"distinguishing":[82],"them.":[83],"Consequently,":[84],"NMT":[85,121,174],"systems":[86],"mistranslate":[88],"that":[90,161],"seem":[91],"natural":[92],"context":[95],"but":[96],"do":[97],"not":[98],"reflect":[99],"content":[101],"source":[104],"sentence.":[105],"Incorporating":[106],"auxiliary":[107],"information":[108,119],"usually":[109],"enhances":[110],"discriminability.":[112],"In":[113],"this":[114],"research,":[115],"we":[116],"integrate":[117],"acoustic":[118,139],"within":[120],"by":[122,143],"multi-task":[123],"learning.":[124],"Here,":[125],"our":[126,162],"learns":[128],"how":[129],"embed":[131],"translate":[133],"sequences":[135],"based":[136,151],"semantic":[141],"differences":[142],"helping":[144],"it":[145],"choose":[146],"correct":[148],"output":[149],"its":[153],"pronunciation.":[156],"Our":[157],"experiment":[158],"results":[159],"show":[160],"proposed":[163],"approach":[164],"provides":[165],"more":[166],"significant":[167],"improvement":[168],"than":[169],"standard":[171],"text-based":[172],"transformer":[173],"BLEU":[177],"score":[178],"evaluation.":[179]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}