{"id":"https://openalex.org/W2964648612","doi":"https://doi.org/10.1609/aaai.v33i01.33019975","title":"Location-Based End-to-End Speech Recognition with Multiple Language Models","display_name":"Location-Based End-to-End Speech Recognition with Multiple Language Models","publication_year":2019,"publication_date":"2019-07-17","ids":{"openalex":"https://openalex.org/W2964648612","doi":"https://doi.org/10.1609/aaai.v33i01.33019975","mag":"2964648612"},"language":"en","primary_location":{"id":"doi:10.1609/aaai.v33i01.33019975","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33019975","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/5124/4997","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://ojs.aaai.org/index.php/AAAI/article/download/5124/4997","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102913138","display_name":"Zhijie Lin","orcid":"https://orcid.org/0000-0003-3461-8952"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhijie Lin","raw_affiliation_strings":["Zhejiang University"],"affiliations":[{"raw_affiliation_string":"Zhejiang University","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008544426","display_name":"Kaiyang Lin","orcid":"https://orcid.org/0000-0003-1421-2728"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kaiyang Lin","raw_affiliation_strings":["Sun Yat-sen University"],"affiliations":[{"raw_affiliation_string":"Sun Yat-sen University","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063580760","display_name":"Shiling Chen","orcid":"https://orcid.org/0000-0003-4473-5538"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiling Chen","raw_affiliation_strings":["Zhejiang University"],"affiliations":[{"raw_affiliation_string":"Zhejiang University","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100318915","display_name":"Linlin Li","orcid":"https://orcid.org/0000-0002-6387-6013"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Linlin Li","raw_affiliation_strings":["Alibaba Group Holding Company, Ltd"],"affiliations":[{"raw_affiliation_string":"Alibaba Group Holding Company, Ltd","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079260216","display_name":"Zhou Zhao","orcid":"https://orcid.org/0000-0001-6121-0384"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhou Zhao","raw_affiliation_strings":["Zhejiang University"],"affiliations":[{"raw_affiliation_string":"Zhejiang University","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5102913138"],"corresponding_institution_ids":["https://openalex.org/I76130692"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09443016,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"33","issue":"01","first_page":"9975","last_page":"9976"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9980999827384949,"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":0.9980999827384949,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9980999827384949,"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":0.9883000254631042,"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":0.843619704246521},{"id":"https://openalex.org/keywords/end-to-end-principle","display_name":"End-to-end principle","score":0.7542864680290222},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.6853909492492676},{"id":"https://openalex.org/keywords/grammar","display_name":"Grammar","score":0.5865774154663086},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5620853900909424},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5458006858825684},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5290794968605042},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.4854736626148224},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4675378203392029},{"id":"https://openalex.org/keywords/cache-language-model","display_name":"Cache language model","score":0.4630598723888397},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.2702561616897583},{"id":"https://openalex.org/keywords/universal-networking-language","display_name":"Universal Networking Language","score":0.19812297821044922},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.13610443472862244},{"id":"https://openalex.org/keywords/comprehension-approach","display_name":"Comprehension approach","score":0.07557085156440735}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.843619704246521},{"id":"https://openalex.org/C74296488","wikidata":"https://www.wikidata.org/wiki/Q2527392","display_name":"End-to-end principle","level":2,"score":0.7542864680290222},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.6853909492492676},{"id":"https://openalex.org/C26022165","wikidata":"https://www.wikidata.org/wiki/Q8091","display_name":"Grammar","level":2,"score":0.5865774154663086},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5620853900909424},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5458006858825684},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5290794968605042},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.4854736626148224},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4675378203392029},{"id":"https://openalex.org/C39608478","wikidata":"https://www.wikidata.org/wiki/Q5015979","display_name":"Cache language model","level":5,"score":0.4630598723888397},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.2702561616897583},{"id":"https://openalex.org/C83479923","wikidata":"https://www.wikidata.org/wiki/Q2063748","display_name":"Universal Networking Language","level":4,"score":0.19812297821044922},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.13610443472862244},{"id":"https://openalex.org/C129353971","wikidata":"https://www.wikidata.org/wiki/Q5156949","display_name":"Comprehension approach","level":3,"score":0.07557085156440735},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1609/aaai.v33i01.33019975","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33019975","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/5124/4997","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1609/aaai.v33i01.33019975","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33019975","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/5124/4997","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.4699999988079071,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2964648612.pdf","grobid_xml":"https://content.openalex.org/works/W2964648612.grobid-xml"},"referenced_works_count":5,"referenced_works":["https://openalex.org/W1710082047","https://openalex.org/W1922655562","https://openalex.org/W2143612262","https://openalex.org/W2751494470","https://openalex.org/W2963308332"],"related_works":["https://openalex.org/W2916997151","https://openalex.org/W2949174760","https://openalex.org/W4255155614","https://openalex.org/W2394860946","https://openalex.org/W761725120","https://openalex.org/W2787311093","https://openalex.org/W2071315630","https://openalex.org/W1508853749","https://openalex.org/W1745277","https://openalex.org/W2009170886"],"abstract_inverted_index":{"End-to-End":[0],"deep":[1],"learning":[2],"approaches":[3],"for":[4,33,60,71],"Automatic":[5],"Speech":[6],"Recognition":[7],"(ASR)":[8],"has":[9],"been":[10],"a":[11,76],"new":[12],"trend.":[13],"In":[14,44],"those":[15],"approaches,":[16],"starting":[17],"active":[18],"in":[19],"many":[20],"areas,":[21],"language":[22,42,49],"model":[23],"can":[24],"be":[25],"considered":[26],"as":[27],"an":[28],"important":[29],"and":[30,64,69],"effective":[31],"method":[32],"semantic":[34],"error":[35],"correction.":[36],"Many":[37],"existing":[38],"systems":[39],"use":[40],"one":[41],"model.":[43],"this":[45],"paper,":[46],"however,":[47],"multiple":[48],"models":[50],"(LMs)":[51],"are":[52],"applied":[53],"into":[54],"decoding.":[55],"One":[56],"LM":[57],"is":[58],"used":[59],"selecting":[61],"appropriate":[62],"answers":[63],"others,":[65],"considering":[66],"both":[67],"context":[68],"grammar,":[70],"further":[72],"decision.":[73],"Experiment":[74],"on":[75],"general":[77],"location-based":[78],"dataset":[79],"show":[80],"the":[81],"effectiveness":[82],"of":[83],"our":[84],"method.":[85]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}