{"id":"https://openalex.org/W2516863679","doi":"https://doi.org/10.21437/interspeech.2016-517","title":"Detecting Mispronunciations of L2 Learners and Providing Corrective Feedback Using Knowledge-Guided and Data-Driven Decision Trees","display_name":"Detecting Mispronunciations of L2 Learners and Providing Corrective Feedback Using Knowledge-Guided and Data-Driven Decision Trees","publication_year":2016,"publication_date":"2016-08-29","ids":{"openalex":"https://openalex.org/W2516863679","doi":"https://doi.org/10.21437/interspeech.2016-517","mag":"2516863679"},"language":"en","primary_location":{"id":"doi:10.21437/interspeech.2016-517","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2016-517","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2016","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/A5100318020","display_name":"Wei Li","orcid":"https://orcid.org/0000-0001-7824-4839"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Wei Li","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012954193","display_name":"Kehuang Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kehuang Li","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079659476","display_name":"Sabato Marco Siniscalchi","orcid":"https://orcid.org/0000-0002-0770-0507"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sabato Marco Siniscalchi","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014190404","display_name":"Nancy F. Chen","orcid":"https://orcid.org/0000-0003-0872-5877"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nancy F. Chen","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5066868860","display_name":"Chin\u2010Hui Lee","orcid":"https://orcid.org/0000-0002-1892-2551"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chin-Hui Lee","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100318020"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.5702,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.9611466,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"3127","last_page":"3131"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9987999796867371,"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":0.9987999796867371,"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":0.9909999966621399,"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":0.9724000096321106,"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":0.7276610732078552},{"id":"https://openalex.org/keywords/corrective-feedback","display_name":"Corrective feedback","score":0.7178984880447388},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.6167771220207214},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33886316418647766},{"id":"https://openalex.org/keywords/mathematics-education","display_name":"Mathematics education","score":0.18246063590049744},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.14485478401184082}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7276610732078552},{"id":"https://openalex.org/C2779305910","wikidata":"https://www.wikidata.org/wiki/Q5172809","display_name":"Corrective feedback","level":2,"score":0.7178984880447388},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.6167771220207214},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33886316418647766},{"id":"https://openalex.org/C145420912","wikidata":"https://www.wikidata.org/wiki/Q853077","display_name":"Mathematics education","level":1,"score":0.18246063590049744},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.14485478401184082}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.21437/interspeech.2016-517","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2016-517","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2016","raw_type":"proceedings-article"},{"id":"pmh:oai:iris.unipa.it:10447/649500","is_oa":false,"landing_page_url":"https://hdl.handle.net/10447/649500","pdf_url":null,"source":{"id":"https://openalex.org/S4306401065","display_name":"Nova Science Publishers (Nova Science Publishers, Inc.)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/bookPart"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W12857174","https://openalex.org/W35168091","https://openalex.org/W80870499","https://openalex.org/W103312509","https://openalex.org/W290344559","https://openalex.org/W1505035441","https://openalex.org/W2001730713","https://openalex.org/W2008834750","https://openalex.org/W2010548701","https://openalex.org/W2091856355","https://openalex.org/W2137268753","https://openalex.org/W2139008940","https://openalex.org/W2149322324","https://openalex.org/W2155774313","https://openalex.org/W2401896499","https://openalex.org/W2403033074"],"related_works":["https://openalex.org/W2064050250","https://openalex.org/W1976040938","https://openalex.org/W3010840919","https://openalex.org/W3169786763","https://openalex.org/W2335612998","https://openalex.org/W2135814789","https://openalex.org/W2029284671","https://openalex.org/W2357066853","https://openalex.org/W4375928462","https://openalex.org/W4328134586"],"abstract_inverted_index":{"We":[0],"propose":[1],"a":[2,49,66,120],"novel":[3],"decision":[4,109],"tree":[5,50],"based":[6,76],"framework":[7,41],"to":[8,56,69,85,99,129,153],"detect":[9,165],"phonetic":[10],"mispronunciations":[11],"produced":[12,92],"by":[13,17,60,105],"L2":[14,58,101,139],"learners":[15,59,140],"caused":[16],"using":[18,93],"inaccurate":[19],"speech":[20,78,116,141],"attributes,":[21],"such":[22],"as":[23],"manner":[24],"and":[25,54,89,103,127,169],"place":[26],"of":[27,114,119,149],"articulation.":[28],"Compared":[29],"with":[30],"conventional":[31],"score-based":[32],"CAPT":[33],"(computer":[34],"assisted":[35],"pronunciation":[36,167],"training)":[37],"systems,":[38],"our":[39],"proposed":[40,162],"has":[42],"three":[43],"advantages:":[44],"(1)":[45],"each":[46],"mispronunciation":[47],"in":[48,147],"can":[51,96,123,137,164],"be":[52,97,124],"interpreted":[53],"communicated":[55],"the":[57,62,70,100,107,111,115,154,161],"traversing":[61],"corresponding":[63],"path":[64],"from":[65,132],"leaf":[67],"node":[68],"root":[71],"node;":[72],"(2)":[73],"corrective":[74],"feedback":[75,143,173],"on":[77],"attribute":[79,117,142],"features,":[80],"which":[81],"are":[82,91],"directly":[83],"used":[84,128],"describe":[86],"how":[87],"consonants":[88],"vowels":[90],"related":[94],"articulators,":[95],"provided":[98],"learners;":[102],"(3)":[104],"building":[106],"phone-dependent":[108],"tree,":[110],"relative":[112],"importance":[113],"features":[118],"target":[121],"phone":[122],"automatically":[125],"learned":[126],"distinguish":[130],"itself":[131],"other":[133],"phones.":[134],"This":[135],"information":[136],"provide":[138,170],"that":[144,160],"is":[145],"ranked":[146],"order":[148],"importance.":[150],"In":[151],"addition":[152],"abovementioned":[155],"advantages,":[156],"experimental":[157],"results":[158],"confirm":[159],"approach":[163],"most":[166],"errors":[168],"accurate":[171],"diagnostic":[172]},"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":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}