{"id":"https://openalex.org/W3203914853","doi":"https://doi.org/10.1145/3472634.3472665","title":"A Language Model for Intelligent Speech Recognition of Power Dispatching","display_name":"A Language Model for Intelligent Speech Recognition of Power Dispatching","publication_year":2021,"publication_date":"2021-07-30","ids":{"openalex":"https://openalex.org/W3203914853","doi":"https://doi.org/10.1145/3472634.3472665","mag":"3203914853"},"language":"en","primary_location":{"id":"doi:10.1145/3472634.3472665","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3472634.3472665","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Turing Award Celebration Conference - China ( ACM TURC 2021)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5113915758","display_name":"Qing Zhao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qing Zhao","raw_affiliation_strings":["Beijing FibrLink Communications Co.,Ltd., China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing FibrLink Communications Co.,Ltd., China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025525066","display_name":"Tingrui Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tingrui Li","raw_affiliation_strings":["Beijing FibrLink Communications Co.,Ltd., China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing FibrLink Communications Co.,Ltd., China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100710207","display_name":"Rui Luo","orcid":"https://orcid.org/0000-0003-1649-7093"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rui Luo","raw_affiliation_strings":["Beijing FibrLink Communications Co.,Ltd., China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing FibrLink Communications Co.,Ltd., China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100448563","display_name":"Rui Li","orcid":"https://orcid.org/0000-0002-8877-8524"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rui Li","raw_affiliation_strings":["Beijing FibrLink Communications Co.,Ltd., China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing FibrLink Communications Co.,Ltd., China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040114460","display_name":"Tianyu Han","orcid":"https://orcid.org/0009-0009-6970-1693"},"institutions":[{"id":"https://openalex.org/I153473198","display_name":"North China Electric Power University","ror":"https://ror.org/04qr5t414","country_code":"CN","type":"education","lineage":["https://openalex.org/I153473198"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianyu Han","raw_affiliation_strings":["North China Electric Power University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"North China Electric Power University, China","institution_ids":["https://openalex.org/I153473198"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008124461","display_name":"Dongsheng Han","orcid":"https://orcid.org/0000-0003-3018-6128"},"institutions":[{"id":"https://openalex.org/I153473198","display_name":"North China Electric Power University","ror":"https://ror.org/04qr5t414","country_code":"CN","type":"education","lineage":["https://openalex.org/I153473198"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongsheng Han","raw_affiliation_strings":["North China Electric Power University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"North China Electric Power University, China","institution_ids":["https://openalex.org/I153473198"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"131","last_page":"135"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14276","display_name":"Power Systems and Technologies","score":0.8636999726295471,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T14276","display_name":"Power Systems and Technologies","score":0.8636999726295471,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8662020564079285},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.7470903396606445},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.6163945198059082},{"id":"https://openalex.org/keywords/cache-language-model","display_name":"Cache language model","score":0.6059308648109436},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5772284269332886},{"id":"https://openalex.org/keywords/word-error-rate","display_name":"Word error rate","score":0.5745999217033386},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5561966896057129},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.5401742458343506},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5231356024742126},{"id":"https://openalex.org/keywords/part-of-speech","display_name":"Part of speech","score":0.4764404892921448},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.47365936636924744},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.22012299299240112},{"id":"https://openalex.org/keywords/universal-networking-language","display_name":"Universal Networking Language","score":0.16995230317115784},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.09218332171440125}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8662020564079285},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.7470903396606445},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.6163945198059082},{"id":"https://openalex.org/C39608478","wikidata":"https://www.wikidata.org/wiki/Q5015979","display_name":"Cache language model","level":5,"score":0.6059308648109436},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5772284269332886},{"id":"https://openalex.org/C40969351","wikidata":"https://www.wikidata.org/wiki/Q3516228","display_name":"Word error rate","level":2,"score":0.5745999217033386},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5561966896057129},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.5401742458343506},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5231356024742126},{"id":"https://openalex.org/C123406163","wikidata":"https://www.wikidata.org/wiki/Q82042","display_name":"Part of speech","level":2,"score":0.4764404892921448},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.47365936636924744},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.22012299299240112},{"id":"https://openalex.org/C83479923","wikidata":"https://www.wikidata.org/wiki/Q2063748","display_name":"Universal Networking Language","level":4,"score":0.16995230317115784},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.09218332171440125},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C129353971","wikidata":"https://www.wikidata.org/wiki/Q5156949","display_name":"Comprehension approach","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3472634.3472665","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3472634.3472665","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Turing Award Celebration Conference - China ( ACM TURC 2021)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.699999988079071}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":1,"referenced_works":["https://openalex.org/W2116625254"],"related_works":["https://openalex.org/W4255155614","https://openalex.org/W2394860946","https://openalex.org/W761725120","https://openalex.org/W2009170886","https://openalex.org/W2071315630","https://openalex.org/W2129812225","https://openalex.org/W1745277","https://openalex.org/W2944691285","https://openalex.org/W26527944","https://openalex.org/W2523799048"],"abstract_inverted_index":{"The":[0,47,132],"accuracy":[1,21,64],"of":[2,13,22,65,78,83,102,128,136],"power":[3,23,42,66,112,129,138],"dispatching":[4,24,43,67,113,130,139],"speech":[5,25,68],"recognition":[6,141],"system":[7,74,77,142],"is":[8,90,121],"related":[9],"to":[10,18,61,92,111],"the":[11,20,50,63,72,94,100,116,124,137,144,154],"effect":[12],"language":[14,33,52,105,119,140,147],"model.":[15],"In":[16,70],"order":[17],"improve":[19,62,99],"recognition,":[26],"this":[27],"paper":[28],"proposes":[29],"a":[30],"class":[31,56,103,117,145],"label":[32,57,104,118,146],"model":[34,48,53,106,120,148],"based":[35,86,107,149],"on":[36,87,108,123,150],"double":[37,88,109,151],"dictionaries":[38,152],"(general":[39],"dictionary":[40,110],"and":[41,81],"professional":[44],"word":[45,79,133],"dictionary).":[46],"improves":[49],"n-gram":[51],"with":[54],"adding":[55],"information,":[58,96],"so":[59],"as":[60],"recognition.":[69],"addition,":[71],"joint":[73,76],"(the":[75],"segmentation":[80],"part":[82],"Speech":[84],"Tagging":[85],"dictionaries)":[89],"used":[91],"preprocess":[93],"corpus":[95,127],"which":[97],"will":[98],"adaptability":[101],"language.":[114],"Finally,":[115],"trained":[122],"collected":[125],"training":[126],"instructions.":[131],"error":[134],"rate":[135],"using":[143],"in":[153],"test":[155],"set":[156],"are":[157],"only":[158],"4.14%.":[159]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
