{"id":"https://openalex.org/W2749848124","doi":"https://doi.org/10.21437/interspeech.2017-464","title":"Improving Mispronunciation Detection for Non-Native Learners with Multisource Information and LSTM-Based Deep Models","display_name":"Improving Mispronunciation Detection for Non-Native Learners with Multisource Information and LSTM-Based Deep Models","publication_year":2017,"publication_date":"2017-08-16","ids":{"openalex":"https://openalex.org/W2749848124","doi":"https://doi.org/10.21437/interspeech.2017-464","mag":"2749848124"},"language":"en","primary_location":{"id":"doi:10.21437/interspeech.2017-464","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2017-464","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2017","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/A5100683583","display_name":"Wei Li","orcid":"https://orcid.org/0000-0002-7772-5697"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Wei Li","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":"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":"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":4,"corresponding_author_ids":["https://openalex.org/A5100683583"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.3403,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":{"value":0.91233466,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"2759","last_page":"2763"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.998199999332428,"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":0.998199999332428,"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":0.996999979019165,"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":0.9959999918937683,"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":0.8044295310974121},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5863415002822876},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5008533000946045},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.35167473554611206}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8044295310974121},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5863415002822876},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5008533000946045},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.35167473554611206}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.21437/interspeech.2017-464","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2017-464","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2017","raw_type":"proceedings-article"},{"id":"pmh:oai:iris.unipa.it:10447/649495","is_oa":false,"landing_page_url":"https://hdl.handle.net/10447/649495","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W12857174","https://openalex.org/W103312509","https://openalex.org/W1505035441","https://openalex.org/W1524333225","https://openalex.org/W1559678887","https://openalex.org/W1964757081","https://openalex.org/W2010548701","https://openalex.org/W2062652351","https://openalex.org/W2089064175","https://openalex.org/W2091856355","https://openalex.org/W2137268753","https://openalex.org/W2139008940","https://openalex.org/W2155048744","https://openalex.org/W2155774313","https://openalex.org/W2401896499","https://openalex.org/W2403033074","https://openalex.org/W2414112510","https://openalex.org/W2516863679","https://openalex.org/W2552635739","https://openalex.org/W2576146788"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2382290278","https://openalex.org/W2350741829","https://openalex.org/W2130043461","https://openalex.org/W2530322880","https://openalex.org/W3192589309"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,36],"utilize":[4],"manner":[5],"and":[6,11,137,144],"place":[7],"of":[8,27,91,102,119],"articulation":[9],"features":[10,54],"deep":[12],"neural":[13],"network":[14],"models":[15],"(DNNs)":[16],"with":[17],"long":[18],"short-term":[19],"memory":[20],"(LSTM)":[21],"to":[22,44,55,87,98],"improve":[23,56,99],"the":[24,100,114,125,128,132,149],"detection":[25],"performance":[26],"phonetic":[28],"mispronunciations":[29],"produced":[30],"by":[31,70,79,142],"second":[32],"language":[33],"learners.":[34],"First,":[35],"show":[37],"that":[38],"speech":[39],"attribute":[40],"scores":[41,93],"are":[42,111],"complementary":[43],"conventional":[45],"phone":[46,63],"scores,":[47],"so":[48],"they":[49],"can":[50],"be":[51],"concatenated":[52],"as":[53],"a":[57,74,89,95],"baseline":[58,115,150],"system":[59,122,130],"based":[60],"only":[61],"on":[62,124],"information.":[64],"Next,":[65],"pronunciation":[66,92,96],"representation,":[67],"usually":[68],"calculated":[69],"frame-level":[71],"averaging":[72],"in":[73],"DNN,":[75],"is":[76],"now":[77],"learned":[78],"LSTM,":[80],"which":[81],"directly":[82],"uses":[83],"sequential":[84],"context":[85],"information":[86],"embed":[88],"sequence":[90],"into":[94,113],"vector":[97],"perfonnance":[101],"subsequent":[103],"mispronunciation":[104],"detectors.":[105],"Finally,":[106],"when":[107],"both":[108],"proposed":[109],"techniques":[110],"incorporated":[112],"phone-based":[116],"GOP":[117],"(goodness":[118],"pronunciation)":[120],"classifier":[121],"trained":[123],"same":[126],"data,":[127],"integrated":[129],"reduces":[131],"false":[133,138],"acceptance":[134],"rate":[135,140],"(FAR)":[136],"rejection":[139],"(FRR)":[141],"37.90%":[143],"38.44%":[145],"(relative),":[146],"respectively,":[147],"from":[148],"system.":[151]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}