{"id":"https://openalex.org/W2164943154","doi":"https://doi.org/10.1109/iscslp.2010.5684859","title":"Automatic lexical stress detection for Chinese learners' of English","display_name":"Automatic lexical stress detection for Chinese learners' of English","publication_year":2010,"publication_date":"2010-11-01","ids":{"openalex":"https://openalex.org/W2164943154","doi":"https://doi.org/10.1109/iscslp.2010.5684859","mag":"2164943154"},"language":"en","primary_location":{"id":"doi:10.1109/iscslp.2010.5684859","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscslp.2010.5684859","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 7th International Symposium on Chinese Spoken Language Processing","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/A5100730366","display_name":"Jinyu Chen","orcid":"https://orcid.org/0000-0003-2811-3958"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]},{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN","HK"],"is_corresponding":false,"raw_author_name":"Jin-Yu Chen","raw_affiliation_strings":["Chinese University of Hong Kong, Hong Kong, China","ShenZhen Institutes of Advanced Technology, Chinese Academy and Sciences, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I177725633"]},{"raw_affiliation_string":"ShenZhen Institutes of Advanced Technology, Chinese Academy and Sciences, Shenzhen, China","institution_ids":["https://openalex.org/I4210145761"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100363653","display_name":"Lan Wang","orcid":"https://orcid.org/0000-0002-7341-4904"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]},{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN","HK"],"is_corresponding":false,"raw_author_name":"Lan Wang","raw_affiliation_strings":["Chinese University of Hong Kong, Hong Kong, China","ShenZhen Institutes of Advanced Technology, Chinese Academy and Sciences, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I177725633"]},{"raw_affiliation_string":"ShenZhen Institutes of Advanced Technology, Chinese Academy and Sciences, Shenzhen, China","institution_ids":["https://openalex.org/I4210145761"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.20240826,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"6","issue":null,"first_page":"407","last_page":"411"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10403","display_name":"Phonetics and Phonology Research","score":0.9940000176429749,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10403","display_name":"Phonetics and Phonology Research","score":0.9940000176429749,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9916999936103821,"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/T12031","display_name":"Speech and dialogue systems","score":0.9801999926567078,"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":0.7764885425567627},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.7006468176841736},{"id":"https://openalex.org/keywords/stress","display_name":"Stress (linguistics)","score":0.6638683676719666},{"id":"https://openalex.org/keywords/timit","display_name":"TIMIT","score":0.6439675688743591},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6004505753517151},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.5776870846748352},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5713996887207031},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4934903383255005},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.46369752287864685},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.46289482712745667},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.4607698619365692},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.22572582960128784},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.12948867678642273}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7764885425567627},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.7006468176841736},{"id":"https://openalex.org/C21036866","wikidata":"https://www.wikidata.org/wiki/Q181767","display_name":"Stress (linguistics)","level":2,"score":0.6638683676719666},{"id":"https://openalex.org/C2778724510","wikidata":"https://www.wikidata.org/wiki/Q7670405","display_name":"TIMIT","level":3,"score":0.6439675688743591},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6004505753517151},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.5776870846748352},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5713996887207031},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4934903383255005},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.46369752287864685},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.46289482712745667},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.4607698619365692},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.22572582960128784},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.12948867678642273},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","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},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscslp.2010.5684859","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscslp.2010.5684859","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 7th International Symposium on Chinese Spoken Language Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.800000011920929,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W225859850","https://openalex.org/W1627557510","https://openalex.org/W1634541166","https://openalex.org/W1833583603","https://openalex.org/W2115694019","https://openalex.org/W2137268753","https://openalex.org/W2166450756","https://openalex.org/W2167642311","https://openalex.org/W2348651407","https://openalex.org/W2540612059","https://openalex.org/W6608953027","https://openalex.org/W6705315437","https://openalex.org/W6728805299"],"related_works":["https://openalex.org/W80423236","https://openalex.org/W3164669818","https://openalex.org/W1573546415","https://openalex.org/W2906993205","https://openalex.org/W2591697403","https://openalex.org/W2071572975","https://openalex.org/W2619993508","https://openalex.org/W2944728705","https://openalex.org/W1965622908","https://openalex.org/W1669577408"],"abstract_inverted_index":{"This":[0],"paper":[1,56],"investigates":[2],"lexical":[3,22,104],"stress":[4,23,50,63,105],"detection":[5,51,108],"for":[6,103],"Chinese":[7,127],"learners":[8],"of":[9,24,32,115],"English,":[10],"where":[11],"a":[12,68],"combined":[13,89],"differential":[14,90],"acoustic":[15,91],"feature":[16,34],"is":[17,73,101],"developed":[18],"to":[19,43,60],"represent":[20],"the":[21,36,44,58,62,66,88,94],"polysyllabic":[25],"words":[26,80],"in":[27,54],"continuous":[28],"speech.":[29],"The":[30,48,107],"use":[31],"frame-averaged":[33],"and":[35,81,98,122],"contextual":[37],"information":[38],"intra-word":[39],"can":[40],"be":[41],"input":[42],"classifiers":[45],"without":[46],"normalization.":[47],"word-based":[49],"method":[52],"proposed":[53],"this":[55],"employs":[57],"SVM":[59],"classify":[61],"patterns.":[64],"In":[65],"experiments,":[67],"subset":[69],"from":[70,96,119,126],"TIMIT":[71],"corpus":[72],"used":[74],"with":[75,87],"carefully":[76],"selected":[77],"target":[78],"polysyllable":[79],"sentences.":[82],"Multiple":[83],"SVMs":[84],"are":[85],"trained":[86],"features.":[92],"Both":[93],"speech":[95,118,125],"native":[97,120],"non-native":[99],"speakers":[100],"tested":[102],"detection.":[106],"system":[109],"obtained":[110],"an":[111],"average":[112],"word":[113],"accuracy":[114],"89.78%":[116],"on":[117,124],"speaker,":[121],"77.37%":[123],"learners.":[128]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2019,"cited_by_count":4},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
