{"id":"https://openalex.org/W4402402628","doi":"https://doi.org/10.1109/ialp63756.2024.10661157","title":"Research on Mongolian Speech Recognition Based on the Self-supervised Model","display_name":"Research on Mongolian Speech Recognition Based on the Self-supervised Model","publication_year":2024,"publication_date":"2024-08-04","ids":{"openalex":"https://openalex.org/W4402402628","doi":"https://doi.org/10.1109/ialp63756.2024.10661157"},"language":"en","primary_location":{"id":"doi:10.1109/ialp63756.2024.10661157","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ialp63756.2024.10661157","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Asian Language Processing (IALP)","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/A5088706680","display_name":"Hong-Yi Su","orcid":"https://orcid.org/0000-0001-7233-7014"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Hongyi Su","raw_affiliation_strings":["Inner Mongolia Vocational College Of Chemical Engineering,Department of Information Engineering,Hohhot,China"],"affiliations":[{"raw_affiliation_string":"Inner Mongolia Vocational College Of Chemical Engineering,Department of Information Engineering,Hohhot,China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113376091","display_name":"Yu Xue","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yu Xue","raw_affiliation_strings":["Inner Mongolia Vocational College Of Chemical Engineering,Department of Information Engineering,Hohhot,China"],"affiliations":[{"raw_affiliation_string":"Inner Mongolia Vocational College Of Chemical Engineering,Department of Information Engineering,Hohhot,China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5088706680"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12656094,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"199","last_page":"203"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9947999715805054,"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":0.9947999715805054,"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":0.9642999768257141,"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/T13734","display_name":"Advanced Computational Techniques and Applications","score":0.9235000014305115,"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":0.7239946722984314},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6625542640686035},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4872933626174927},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.47121089696884155},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32873669266700745}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7239946722984314},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6625542640686035},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4872933626174927},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.47121089696884155},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32873669266700745}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ialp63756.2024.10661157","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ialp63756.2024.10661157","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Asian Language Processing (IALP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320334111","display_name":"Innovation Fund","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W2618530766","https://openalex.org/W2982223350","https://openalex.org/W3114632476"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2033914206","https://openalex.org/W2042327336","https://openalex.org/W3204019825"],"abstract_inverted_index":{"As":[0,47],"an":[1],"important":[2],"branch":[3],"of":[4,23,26,43,70,81,94,106,115,121,137],"artificial":[5],"intelligence":[6],"application,":[7],"speech":[8,24,44,50,96,112,123],"recognition":[9,25,45],"is":[10,53,88,141],"becoming":[11],"more":[12,14],"and":[13,33,78,85,104,125],"widely":[15],"used":[16],"in":[17],"daily":[18],"life.":[19],"In":[20,98],"the":[21,41,48,76,82,92,102,107,135,138],"field":[22],"Mongolian":[27,95,122],"language,":[28],"its":[29],"unique":[30],"language":[31],"structure":[32,77],"pronunciation":[34],"system":[35],"have":[36],"brought":[37],"new":[38],"challenges":[39],"to":[40,90,100],"development":[42],"technology.":[46],"self-supervised":[49],"representation":[51],"model":[52,84,117],"pre-trained":[54],"using":[55],"only":[56],"audio":[57],"data,":[58],"without":[59],"paired":[60],"text":[61],"labels,":[62],"it":[63,87,127],"achieves":[64],"excellent":[65],"performance":[66,103],"on":[67],"a":[68,111],"variety":[69],"downstream":[71],"tasks.":[72],"This":[73],"paper":[74],"details":[75],"working":[79],"principle":[80],"Mockingjay":[83,116],"why":[86],"suitable":[89],"handle":[91],"problem":[93],"recognition.":[97],"order":[99],"improve":[101],"robustness":[105],"model,":[108],"we":[109],"propose":[110],"processing":[113],"method":[114,140],"for":[118],"features":[119],"extraction":[120],"data":[124],"fuse":[126],"with":[128],"MFCC":[129],"(Mel":[130],"frequency":[131],"inversion":[132],"coefficient).":[133],"Finally,":[134],"effectiveness":[136],"proposed":[139],"verified":[142],"by":[143],"entally.":[144]},"counts_by_year":[],"updated_date":"2025-12-19T19:40:27.379048","created_date":"2025-10-10T00:00:00"}