{"id":"https://openalex.org/W2977728428","doi":"https://doi.org/10.1109/asru46091.2019.9003730","title":"State-of-the-Art Speech Recognition Using Multi-Stream Self-Attention with Dilated 1D Convolutions","display_name":"State-of-the-Art Speech Recognition Using Multi-Stream Self-Attention with Dilated 1D Convolutions","publication_year":2019,"publication_date":"2019-12-01","ids":{"openalex":"https://openalex.org/W2977728428","doi":"https://doi.org/10.1109/asru46091.2019.9003730","mag":"2977728428"},"language":"en","primary_location":{"id":"doi:10.1109/asru46091.2019.9003730","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asru46091.2019.9003730","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":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1910.00716","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5106859201","display_name":"Kyu J. Han","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kyu J. Han","raw_affiliation_strings":["ASAPP Inc., Mountain View, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ASAPP Inc., Mountain View, CA, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022660298","display_name":"Ramon Prieto","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ramon Prieto","raw_affiliation_strings":["ASAPP Inc., Mountain View, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ASAPP Inc., Mountain View, CA, USA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101774785","display_name":"Tao Ma","orcid":"https://orcid.org/0000-0001-6135-9736"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tao Ma","raw_affiliation_strings":["ASAPP Inc., Mountain View, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ASAPP Inc., Mountain View, CA, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.8256,"has_fulltext":true,"cited_by_count":37,"citation_normalized_percentile":{"value":0.95299049,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"54","last_page":"61"},"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":0.9993000030517578,"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":0.9983999729156494,"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/computer-science","display_name":"Computer science","score":0.8322831392288208},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5765582323074341},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5364850759506226},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5352144241333008},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5215185284614563},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.46825700998306274},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.42107051610946655},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39918386936187744},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.20839819312095642}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8322831392288208},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5765582323074341},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5364850759506226},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5352144241333008},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5215185284614563},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.46825700998306274},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.42107051610946655},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39918386936187744},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.20839819312095642},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/asru46091.2019.9003730","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asru46091.2019.9003730","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":"pmh:oai:arXiv.org:1910.00716","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1910.00716","pdf_url":"https://arxiv.org/pdf/1910.00716","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"mag:2977728428","is_oa":true,"landing_page_url":"https://www.arxiv.org/pdf/1910.00716","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1910.00716","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1910.00716","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1910.00716","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1910.00716","pdf_url":"https://arxiv.org/pdf/1910.00716","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"score":0.7200000286102295,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2977728428.pdf"},"referenced_works_count":46,"referenced_works":["https://openalex.org/W1524333225","https://openalex.org/W1597121597","https://openalex.org/W1631260214","https://openalex.org/W1836465849","https://openalex.org/W1904365287","https://openalex.org/W1934041838","https://openalex.org/W2002342963","https://openalex.org/W2035424729","https://openalex.org/W2090755665","https://openalex.org/W2097927681","https://openalex.org/W2117671523","https://openalex.org/W2127141656","https://openalex.org/W2150769028","https://openalex.org/W2194775991","https://openalex.org/W2294543795","https://openalex.org/W2312434537","https://openalex.org/W2327501763","https://openalex.org/W2402146185","https://openalex.org/W2507580616","https://openalex.org/W2514741789","https://openalex.org/W2782451907","https://openalex.org/W2802023636","https://openalex.org/W2802201485","https://openalex.org/W2888867175","https://openalex.org/W2892009249","https://openalex.org/W2898181186","https://openalex.org/W2911291251","https://openalex.org/W2936774411","https://openalex.org/W2950186769","https://openalex.org/W2952533036","https://openalex.org/W2962778134","https://openalex.org/W2962824709","https://openalex.org/W2963341956","https://openalex.org/W2963403868","https://openalex.org/W2964089206","https://openalex.org/W2964110616","https://openalex.org/W2970597249","https://openalex.org/W2972630480","https://openalex.org/W2972818416","https://openalex.org/W3103005696","https://openalex.org/W6631362777","https://openalex.org/W6636811518","https://openalex.org/W6638667902","https://openalex.org/W6696912008","https://openalex.org/W6712930963","https://openalex.org/W6739901393"],"related_works":["https://openalex.org/W2936774411","https://openalex.org/W1494198834","https://openalex.org/W2963403868","https://openalex.org/W3006827623","https://openalex.org/W2127141656","https://openalex.org/W3103005696","https://openalex.org/W2064675550","https://openalex.org/W1524333225","https://openalex.org/W2972818416","https://openalex.org/W2327501763","https://openalex.org/W2973201641","https://openalex.org/W2962824709","https://openalex.org/W2514741789","https://openalex.org/W2407080277","https://openalex.org/W2193413348","https://openalex.org/W2102113734","https://openalex.org/W2963341956","https://openalex.org/W2904818793","https://openalex.org/W2888867175","https://openalex.org/W2121879602"],"abstract_inverted_index":{"Self-attention":[0],"has":[1,94],"been":[2],"a":[3,57,111,139],"huge":[4],"success":[5],"for":[6,77],"many":[7],"downstream":[8],"tasks":[9],"in":[10,28,47,117],"NLP,":[11],"which":[12],"led":[13],"to":[14,19,41,66,122,152],"exploration":[15],"of":[16,26,50,85,88,96,126,180,186],"applying":[17],"self-attention":[18,27,73,89,112,115,161],"speech":[20,29,45,78,128],"problems":[21],"as":[22],"well.":[23],"The":[24,80,114],"efficacy":[25],"applications,":[30],"however,":[31],"seems":[32],"not":[33],"fully":[34],"blown":[35],"yet":[36],"since":[37],"it":[38],"is":[39],"challenging":[40],"handle":[42],"highly":[43],"correlated":[44],"frames":[46,129],"the":[48,68,72,131,145,153,158,166,176,183,187,190,197],"context":[49],"self-attention.":[51],"In":[52,138],"this":[53],"paper":[54],"we":[55,174],"propose":[56],"new":[58],"neural":[59,170],"network":[60,171],"model":[61,82],"architecture,":[62],"namely":[63],"multi-stream":[64,160],"self-attention,":[65],"address":[67],"issue":[69],"thus":[70,194],"make":[71],"mechanism":[74,116],"more":[75,136],"effective":[76],"recognition.":[79],"proposed":[81,159],"architecture":[83],"consists":[84],"parallel":[86],"streams":[87,146],"encoders,":[90],"and":[91,130,164],"each":[92,118],"stream":[93,119],"layers":[95],"1D":[97],"convolutions":[98],"with":[99,169],"dilated":[100],"kernels":[101],"whose":[102],"dilation":[103],"rates":[104],"are":[105,147],"unique":[106],"given":[107],"stream,":[108],"followed":[109],"by":[110],"layer.":[113],"pays":[120],"attention":[121],"only":[123],"one":[124],"resolution":[125],"input":[127],"attentive":[132],"computation":[133],"can":[134],"be":[135],"efficient.":[137],"later":[140],"stage,":[141],"outputs":[142],"from":[143],"all":[144],"concatenated":[148],"then":[149],"linearly":[150],"projected":[151],"final":[154],"embedding.":[155],"By":[156],"stacking":[157],"encoder":[162],"blocks":[163],"rescoring":[165],"resultant":[167],"lattices":[168],"language":[172],"models,":[173],"achieve":[175],"word":[177],"error":[178],"rate":[179],"2.2%":[181],"on":[182,196],"test-clean":[184],"dataset":[185],"LibriSpeech":[188],"corpus,":[189],"best":[191],"number":[192],"reported":[193],"far":[195],"dataset.":[198]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":20},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":1}],"updated_date":"2026-08-11T07:18:39.950985","created_date":"2022-07-28T00:00:00"}