乐胖代购免代理版

{"id":"https://openalex.org/W2890004347","doi":"https://doi.org/10.1109/icassp.2018.8461486","title":"Exploiting Convolutional Neural Networks for Phonotactic Based Dialect Identification","display_name":"Exploiting Convolutional Neural Networks for Phonotactic Based Dialect Identification","publication_year":2018,"publication_date":"2018-04-01","ids":{"openalex":"https://openalex.org/W2890004347","doi":"https://doi.org/10.1109/icassp.2018.8461486","mag":"2890004347"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2018.8461486","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5112035956","display_name":"Maryam Najafian","orcid":null},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Maryam Najafian","raw_affiliation_strings":["Cambridge, MIT Computer Science and Artificial Intelligence Laboratory (CSAIL), MA, USA"],"affiliations":[{"raw_affiliation_string":"Cambridge, MIT Computer Science and Artificial Intelligence Laboratory (CSAIL), MA, USA","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008673783","display_name":"Sameer Khurana","orcid":null},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sameer Khurana","raw_affiliation_strings":["Cambridge, MIT Computer Science and Artificial Intelligence Laboratory (CSAIL), MA, USA"],"affiliations":[{"raw_affiliation_string":"Cambridge, MIT Computer Science and Artificial Intelligence Laboratory (CSAIL), MA, USA","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088127514","display_name":"Suwon Shan","orcid":null},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Suwon Shan","raw_affiliation_strings":["Cambridge, MIT Computer Science and Artificial Intelligence Laboratory (CSAIL), MA, USA"],"affiliations":[{"raw_affiliation_string":"Cambridge, MIT Computer Science and Artificial Intelligence Laboratory (CSAIL), MA, USA","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072994996","display_name":"Ahmed Ali","orcid":"https://orcid.org/0000-0001-5726-3096"},"institutions":[],"countries":["QA"],"is_corresponding":false,"raw_author_name":"Ahmed Ali","raw_affiliation_strings":["HBKU, Qatar Computing Research Institute, Doha, Qatar"],"affiliations":[{"raw_affiliation_string":"HBKU, Qatar Computing Research Institute, Doha, Qatar","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112758056","display_name":"James Glass","orcid":null},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"James Glass","raw_affiliation_strings":["Cambridge, MIT Computer Science and Artificial Intelligence Laboratory (CSAIL), MA, USA"],"affiliations":[{"raw_affiliation_string":"Cambridge, MIT Computer Science and Artificial Intelligence Laboratory (CSAIL), MA, USA","institution_ids":["https://openalex.org/I63966007"]}]}],"institution_assertions":[],"countries_distinct_count":2,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.597,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":37,"citation_normalized_percentile":{"value":0.999898,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"5174","last_page":"5178"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9995,"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":0.9995,"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":0.9849,"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/T10860","display_name":"Speech and Audio Processing","score":0.984,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/phonotactics","display_name":"Phonotactics","score":0.9229369},{"id":"https://openalex.org/keywords/word-error-rate","display_name":"Word error rate","score":0.6277921},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.48453325},{"id":"https://openalex.org/keywords/identification","display_name":"Identification","score":0.4306051}],"concepts":[{"id":"https://openalex.org/C4768521","wikidata":"https://www.wikidata.org/wiki/Q512366","display_name":"Phonotactics","level":3,"score":0.9229369},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.80328906},{"id":"https://openalex.org/C2778707766","wikidata":"https://www.wikidata.org/wiki/Q202064","display_name":"Phone","level":2,"score":0.6961601},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6527848},{"id":"https://openalex.org/C40969351","wikidata":"https://www.wikidata.org/wiki/Q3516228","display_name":"Word error rate","level":2,"score":0.6277921},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6063894},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.6061026},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.57126075},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.48550105},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.48453325},{"id":"https://openalex.org/C96455323","wikidata":"https://www.wikidata.org/wiki/Q13955","display_name":"Arabic","level":2,"score":0.48051485},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.47400603},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.45084882},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4306051},{"id":"https://openalex.org/C148934300","wikidata":"https://www.wikidata.org/wiki/Q40998","display_name":"Phonology","level":2,"score":0.21042624},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.08491102},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2018.8461486","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.53},{"display_name":"Peace, justice, and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.43}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":31,"referenced_works":["https://openalex.org/W1486327751","https://openalex.org/W1522301498","https://openalex.org/W156922528","https://openalex.org/W1946027978","https://openalex.org/W1978394996","https://openalex.org/W2003573652","https://openalex.org/W2018887914","https://openalex.org/W2069620976","https://openalex.org/W2098859361","https://openalex.org/W2130721836","https://openalex.org/W2147986626","https://openalex.org/W2148253700","https://openalex.org/W2151534428","https://openalex.org/W2160003195","https://openalex.org/W2277704643","https://openalex.org/W2294933947","https://openalex.org/W2399262366","https://openalex.org/W2405068778","https://openalex.org/W2505434962","https://openalex.org/W2549762342","https://openalex.org/W2561747913","https://openalex.org/W2586568968","https://openalex.org/W2588336572","https://openalex.org/W2748528945","https://openalex.org/W2786568652","https://openalex.org/W2787420813","https://openalex.org/W2963466763","https://openalex.org/W2963486098","https://openalex.org/W4239510810","https://openalex.org/W4299312355","https://openalex.org/W86944614"],"related_works":["https://openalex.org/W2975191379","https://openalex.org/W2615317726","https://openalex.org/W2467354670","https://openalex.org/W2189081180","https://openalex.org/W2118180989","https://openalex.org/W2061937230","https://openalex.org/W2021909761","https://openalex.org/W2003136674","https://openalex.org/W198649858","https://openalex.org/W1602082497"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,57],"investigate":[4],"different":[5,37,45],"approaches":[6],"for":[7],"Dialect":[8],"Identification":[9],"(DID)":[10],"in":[11,17,55,95],"Arabic":[12],"broadcast":[13],"speech.":[14],"Dialects":[15],"differ":[16],"their":[18],"inventory":[19],"of":[20,39,106],"phonological":[21],"segments.":[22],"This":[23],"paper":[24],"proposes":[25],"a":[26,107],"new":[27],"phonotactic":[28,109],"based":[29],"feature":[30],"representation":[31],"approach":[32],"which":[33],"enables":[34],"discrimination":[35],"among":[36],"occurrences":[38],"the":[40,88],"same":[41],"phone":[42,46,60],"n-grams":[43],"with":[44,113],"duration":[47],"and":[48,69,78,97,111],"probability":[49],"statistics.":[50],"To":[51],"achieve":[52],"further":[53],"gain":[54],"accuracy":[56],"used":[58],"multi-lingual":[59],"recognizers,":[61],"trained":[62],"separately":[63],"on":[64],"Arabic,":[65],"English,":[66],"Czech,":[67],"Hungarian":[68],"Russian":[70],"languages.":[71],"We":[72],"use":[73],"Support":[74],"Vector":[75],"Machines":[76],"(SVMs),":[77],"Convolutional":[79],"Neural":[80],"Networks":[81],"(CNN":[82],"s)":[83],"as":[84],"backend":[85],"classifiers":[86],"throughout":[87],"study.":[89],"The":[90],"final":[91],"system":[92],"fusion":[93],"results":[94],"24.7%":[96],"19.0%":[98],"relative":[99],"error":[100],"rate":[101],"reduction":[102],"compared":[103],"to":[104],"that":[105],"conventional":[108],"DID,":[110],"i-vectors":[112],"bottleneck":[114],"features.":[115]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2890004347","counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":9},{"year":2018,"cited_by_count":6}],"updated_date":"2024-12-30T12:40:42.575470","created_date":"2018-09-27"}