{"id":"https://openalex.org/W2295176673","doi":"https://doi.org/10.21437/interspeech.2015-165","title":"Boosting universal speech attributes classification with deep neural network for foreign accent characterization","display_name":"Boosting universal speech attributes classification with deep neural network for foreign accent characterization","publication_year":2015,"publication_date":"2015-09-06","ids":{"openalex":"https://openalex.org/W2295176673","doi":"https://doi.org/10.21437/interspeech.2015-165","mag":"2295176673"},"language":"en","primary_location":{"id":"doi:10.21437/interspeech.2015-165","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2015-165","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2015","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/A5037259225","display_name":"Ville Hautam\u00e4ki","orcid":"https://orcid.org/0000-0002-5885-0003"},"institutions":[{"id":"https://openalex.org/I175532246","display_name":"University of Eastern Finland","ror":"https://ror.org/00cyydd11","country_code":"FI","type":"education","lineage":["https://openalex.org/I175532246"]},{"id":"https://openalex.org/I4210107997","display_name":"Finland University","ror":"https://ror.org/014rks409","country_code":"FI","type":"education","lineage":["https://openalex.org/I4210107997"]}],"countries":["FI"],"is_corresponding":true,"raw_author_name":"Ville Hautam\u00e4ki","raw_affiliation_strings":["University of Eastern Finland"],"affiliations":[{"raw_affiliation_string":"University of Eastern Finland","institution_ids":["https://openalex.org/I4210107997","https://openalex.org/I175532246"]}]},{"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/A5044993835","display_name":"Hamid Behravan","orcid":"https://orcid.org/0000-0001-6098-0109"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hamid Behravan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068293208","display_name":"Valerio Mario Salerno","orcid":"https://orcid.org/0000-0002-1048-7380"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Valerio Mario Salerno","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5083404931","display_name":"Ivan Kukanov","orcid":"https://orcid.org/0000-0003-4052-2754"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ivan Kukanov","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5037259225"],"corresponding_institution_ids":["https://openalex.org/I175532246","https://openalex.org/I4210107997"],"apc_list":null,"apc_paid":null,"fwci":3.0201,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.92891012,"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":"408","last_page":"412"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9991999864578247,"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"}},{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9976000189781189,"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/stress","display_name":"Stress (linguistics)","score":0.8144155740737915},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7441190481185913},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6951100826263428},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6514943242073059},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5383025407791138},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4605277180671692},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.44814157485961914},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4438812732696533},{"id":"https://openalex.org/keywords/articulation","display_name":"Articulation (sociology)","score":0.42368924617767334}],"concepts":[{"id":"https://openalex.org/C2776756274","wikidata":"https://www.wikidata.org/wiki/Q181767","display_name":"Stress (linguistics)","level":2,"score":0.8144155740737915},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7441190481185913},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6951100826263428},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6514943242073059},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5383025407791138},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4605277180671692},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.44814157485961914},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4438812732696533},{"id":"https://openalex.org/C2779337067","wikidata":"https://www.wikidata.org/wiki/Q4800961","display_name":"Articulation (sociology)","level":3,"score":0.42368924617767334},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.21437/interspeech.2015-165","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2015-165","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2015","raw_type":"proceedings-article"},{"id":"pmh:oai:iris.unipa.it:10447/649577","is_oa":false,"landing_page_url":"https://hdl.handle.net/10447/649577","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":[{"score":0.47999998927116394,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W17156489","https://openalex.org/W136772486","https://openalex.org/W185189022","https://openalex.org/W1571305296","https://openalex.org/W1916834241","https://openalex.org/W1946027978","https://openalex.org/W1980850109","https://openalex.org/W1981320719","https://openalex.org/W1992155534","https://openalex.org/W2002499281","https://openalex.org/W2020057315","https://openalex.org/W2036520399","https://openalex.org/W2044893557","https://openalex.org/W2062652351","https://openalex.org/W2066086299","https://openalex.org/W2100495367","https://openalex.org/W2104457544","https://openalex.org/W2106554350","https://openalex.org/W2121415728","https://openalex.org/W2125047278","https://openalex.org/W2130418330","https://openalex.org/W2136360692","https://openalex.org/W2150769028","https://openalex.org/W2160815625","https://openalex.org/W2293441309","https://openalex.org/W2394932179","https://openalex.org/W2403870012"],"related_works":["https://openalex.org/W4367680763","https://openalex.org/W2739335048","https://openalex.org/W1506224037","https://openalex.org/W4213177143","https://openalex.org/W2151922127","https://openalex.org/W4237818736","https://openalex.org/W4252005663","https://openalex.org/W2365914832","https://openalex.org/W2352261042","https://openalex.org/W4386784607"],"abstract_inverted_index":{"We":[0,85],"have":[1],"recently":[2],"proposed":[3,81],"a":[4,23,55,112,123],"universal":[5,82],"acoustic":[6,83],"characterisation":[7],"to":[8,78,106],"foreign":[9,16,107],"accent":[10,17,108],"recognition,":[11],"in":[12,20,101],"which":[13],"any":[14],"spoken":[15,120,128],"was":[18],"described":[19],"terms":[21],"of":[22,26,36,48,66],"common":[24],"set":[25],"fundamental":[27],"speech":[28,42],"attributes.":[29],"Although":[30],"experimental":[31],"evidence":[32],"demonstrated":[33],"the":[34,64,80,92],"feasibility":[35],"our":[37],"approach,":[38],"we":[39,62,97],"belive":[40],"that":[41,87,99],"attributes,":[43],"namely":[44],"manner":[45],"and":[46,122],"place":[47],"articulation,":[49],"can":[50],"be":[51],"better":[52],"modelled":[53],"by":[54,110],"deep":[56,67],"neural":[57,68,89],"network.":[58],"In":[59],"this":[60],"work,":[61],"propose":[63],"use":[65],"network":[69],"trained":[70],"on":[71,119,127],"telephone":[72],"bandwidth":[73],"material":[74],"from":[75],"different":[76],"languages":[77],"improve":[79],"characterisation.":[84],"demonstrate":[86],"deeper":[88],"architectures":[90],"enhance":[91],"attribute":[93,102],"classification":[94,103],"accuracy.":[95],"Furthermore,":[96],"show":[98],"improvements":[100],"carry":[104],"over":[105,116],"recognition":[109],"producing":[111],"21%":[113],"relative":[114,125],"improvement":[115,126],"previous":[117],"baseline":[118],"Finnish,":[121],"5.8%":[124],"English":[129]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":4},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}