{"id":"https://openalex.org/W2770352929","doi":"https://doi.org/10.5220/0006499800640072","title":"A Fuzzy Logic Approach to Improve Phone Segmentation - A Case Study of the Dutch Language","display_name":"A Fuzzy Logic Approach to Improve Phone Segmentation - A Case Study of the Dutch Language","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2770352929","doi":"https://doi.org/10.5220/0006499800640072","mag":"2770352929"},"language":"en","primary_location":{"id":"doi:10.5220/0006499800640072","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0006499800640072","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 9th International Joint Conference on Computational Intelligence","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.5220/0006499800640072","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5090907746","display_name":"Victor Milewski","orcid":"https://orcid.org/0000-0003-3854-6386"},"institutions":[{"id":"https://openalex.org/I887064364","display_name":"University of Amsterdam","ror":"https://ror.org/04dkp9463","country_code":"NL","type":"education","lineage":["https://openalex.org/I887064364"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Victor Milewski","raw_affiliation_strings":["University of Amsterdam, Netherlands","Institute for Logic, Language and Computation, University of Amsterdam, Science Park 107, Amsterdam, The Netherlands"],"affiliations":[{"raw_affiliation_string":"University of Amsterdam, Netherlands","institution_ids":["https://openalex.org/I887064364"]},{"raw_affiliation_string":"Institute for Logic, Language and Computation, University of Amsterdam, Science Park 107, Amsterdam, The Netherlands","institution_ids":["https://openalex.org/I887064364"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091639896","display_name":"Aysenur Bilgin","orcid":"https://orcid.org/0000-0002-6225-9953"},"institutions":[{"id":"https://openalex.org/I887064364","display_name":"University of Amsterdam","ror":"https://ror.org/04dkp9463","country_code":"NL","type":"education","lineage":["https://openalex.org/I887064364"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Aysenur Bilgin","raw_affiliation_strings":["University of Amsterdam, Netherlands","Institute for Logic, Language and Computation, University of Amsterdam, Science Park 107, Amsterdam, The Netherlands"],"affiliations":[{"raw_affiliation_string":"University of Amsterdam, Netherlands","institution_ids":["https://openalex.org/I887064364"]},{"raw_affiliation_string":"Institute for Logic, Language and Computation, University of Amsterdam, Science Park 107, Amsterdam, The Netherlands","institution_ids":["https://openalex.org/I887064364"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010725194","display_name":"Tufan Kumbasar","orcid":"https://orcid.org/0000-0001-9366-0240"},"institutions":[{"id":"https://openalex.org/I48912391","display_name":"Istanbul Technical University","ror":"https://ror.org/059636586","country_code":"TR","type":"education","lineage":["https://openalex.org/I48912391"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Tufan Kumbasar","raw_affiliation_strings":["Istanbul Technical University, Turkey","Control and Automation Engineering Department, Istanbul Technical University, Istanbul, Turkey"],"affiliations":[{"raw_affiliation_string":"Istanbul Technical University, Turkey","institution_ids":["https://openalex.org/I48912391"]},{"raw_affiliation_string":"Control and Automation Engineering Department, Istanbul Technical University, Istanbul, Turkey","institution_ids":["https://openalex.org/I48912391"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5090907746"],"corresponding_institution_ids":["https://openalex.org/I887064364"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.17804168,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"64","last_page":"72"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9991999864578247,"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":0.9991999864578247,"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":0.9973000288009644,"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":0.9941999912261963,"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/phone","display_name":"Phone","score":0.7642016410827637},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7338495254516602},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6857789158821106},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.64955735206604},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6021433472633362},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5957447290420532},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.5658679008483887},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5239092111587524},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49360978603363037},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3324695825576782},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12227818369865417},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.07885584235191345}],"concepts":[{"id":"https://openalex.org/C2778707766","wikidata":"https://www.wikidata.org/wiki/Q202064","display_name":"Phone","level":2,"score":0.7642016410827637},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7338495254516602},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6857789158821106},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.64955735206604},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6021433472633362},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5957447290420532},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.5658679008483887},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5239092111587524},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49360978603363037},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3324695825576782},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12227818369865417},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.07885584235191345},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.5220/0006499800640072","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0006499800640072","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 9th International Joint Conference on Computational Intelligence","raw_type":"proceedings-article"},{"id":"pmh:oai:dare.uva.nl:openaire_cris_publications/50ac0a9f-8d93-4700-8681-3fd973dabc70","is_oa":false,"landing_page_url":"https://handle.uba.uva.nl/personal/pure/en/publications/a-fuzzy-logic-approach-to-improve-phone-segmentation(50ac0a9f-8d93-4700-8681-3fd973dabc70).html","pdf_url":null,"source":{"id":"https://openalex.org/S4306400088","display_name":"UvA-DARE (University of Amsterdam)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I887064364","host_organization_name":"University of Amsterdam","host_organization_lineage":["https://openalex.org/I887064364"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Milewski, V, Bilgin, A & Kumbasar, T 2017, A Fuzzy Logic Approach to Improve Phone Segmentation : A Case Study of Dutch Language. in C Sabourin, J J Merelo, U-M O'Reilly, K Madani & K Warwick (eds), IJCCI 2017 : proceedings of the 9th International Joint Conference on Computational Intelligence, November 1-3, 2017, Funchal, Madeira, Portugal. Set\u00fabal, pp. 64-72, 9th International Joint Conference on Computational Intelligence, Funchal, Madeira, Portugal, 1/11/17. https://doi.org/10.5220/0006499800640072","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:uvapub:oai:dare.uva.nl:publications/50ac0a9f-8d93-4700-8681-3fd973dabc70","is_oa":true,"landing_page_url":"https://dare.uva.nl/personal/pure/en/publications/a-fuzzy-logic-approach-to-improve-phone-segmentation(50ac0a9f-8d93-4700-8681-3fd973dabc70).html","pdf_url":"https://dare.uva.nl/personal/pure/en/publications/a-fuzzy-logic-approach-to-improve-phone-segmentation(50ac0a9f-8d93-4700-8681-3fd973dabc70).html","source":{"id":"https://openalex.org/S4306401843","display_name":"Data Archiving and Networked Services (DANS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1322597698","host_organization_name":"Royal Netherlands Academy of Arts and Sciences","host_organization_lineage":["https://openalex.org/I1322597698"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IJCCI 2017: proceedings of the 9th International Joint Conference on Computational Intelligence, November 1-3, 2017, Funchal, Madeira, Portugal, 64 - 72","raw_type":"info:eu-repo/semantics/conferencepaper"},{"id":"pmh:oai:dare.uva.nl:publications/50ac0a9f-8d93-4700-8681-3fd973dabc70","is_oa":false,"landing_page_url":"http://hdl.handle.net/11245.1/50ac0a9f-8d93-4700-8681-3fd973dabc70","pdf_url":null,"source":{"id":"https://openalex.org/S4306400088","display_name":"UvA-DARE (University of Amsterdam)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I887064364","host_organization_name":"University of Amsterdam","host_organization_lineage":["https://openalex.org/I887064364"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Milewski, V, Bilgin, A & Kumbasar, T 2017, A Fuzzy Logic Approach to Improve Phone Segmentation : A Case Study of Dutch Language. in C Sabourin, J J Merelo, U-M O'Reilly, K Madani & K Warwick (eds), IJCCI 2017 : proceedings of the 9th International Joint Conference on Computational Intelligence, November 1-3, 2017, Funchal, Madeira, Portugal. Set\u00fabal, pp. 64-72, 9th International Joint Conference on Computational Intelligence, Funchal, Madeira, Portugal, 1/11/17. https://doi.org/10.5220/0006499800640072","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:polen.itu.edu.tr:11527/63852","is_oa":false,"landing_page_url":"https://hdl.handle.net/11527/63852","pdf_url":null,"source":{"id":"https://openalex.org/S4306400460","display_name":"Istanbul Technical University Academic Open Archive (Istanbul Technical University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I48912391","host_organization_name":"Istanbul Technical University","host_organization_lineage":["https://openalex.org/I48912391"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"}],"best_oa_location":{"id":"doi:10.5220/0006499800640072","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0006499800640072","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 9th International Joint Conference on Computational Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.7400000095367432,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W182831726","https://openalex.org/W330298975","https://openalex.org/W1493161866","https://openalex.org/W1569523663","https://openalex.org/W1570146311","https://openalex.org/W1585237930","https://openalex.org/W1995450389","https://openalex.org/W2004590799","https://openalex.org/W2017987805","https://openalex.org/W2019207321","https://openalex.org/W2068394109","https://openalex.org/W2068868050","https://openalex.org/W2077383268","https://openalex.org/W2116045322","https://openalex.org/W2116957897","https://openalex.org/W2129382696","https://openalex.org/W2149768999","https://openalex.org/W2150483639","https://openalex.org/W2236623899","https://openalex.org/W2397601335","https://openalex.org/W2502764731","https://openalex.org/W2548463726","https://openalex.org/W2565407553","https://openalex.org/W2913642042","https://openalex.org/W4253573210"],"related_works":["https://openalex.org/W2770234245","https://openalex.org/W96612179","https://openalex.org/W4229499248","https://openalex.org/W2566006169","https://openalex.org/W1567818861","https://openalex.org/W2987774938","https://openalex.org/W4256492088","https://openalex.org/W632915154","https://openalex.org/W2055733372","https://openalex.org/W2061937230"],"abstract_inverted_index":{"Phone":[0],"segmentation":[1],"is":[2,53],"an":[3,152,179],"essential":[4],"task":[5],"for":[6,37,182],"Automatic":[7],"Speech":[8],"Recognition":[9],"(ASR)":[10],"systems,":[11],"which":[12,82,136],"still":[13],"lack":[14],"in":[15,63,109,113,188],"performance":[16,133],"when":[17],"compared":[18],"to":[19,115],"the":[20,38,47,54,64,78,126,129,132,145,171,189],"ability":[21],"of":[22,40,49,59,66,84,134,158,170,173,186,191],"humans\u2019":[23],"speech":[24],"recognition.":[25],"In":[26,69],"this":[27,52,70,167],"paper,":[28],"we":[29,72,121],"propose":[30],"novel":[31],"Fuzzy":[32],"Logic":[33],"(FL)":[34],"based":[35,61,175],"approaches":[36,62,176],"prediction":[39,112],"phone":[41,67,110],"durations":[42],"using":[43],"linguistic":[44],"features.":[45],"To":[46],"best":[48],"our":[50],"knowledge,":[51],"first":[55,168],"development":[56],"and":[57,96,128,149],"deployment":[58,185],"FL":[60,93,174,187],"area":[65,190],"segmentation.":[68],"study,":[71],"perform":[73],"a":[74,161,183],"case":[75],"study":[76],"on":[77,91,160],"Dutch":[79],"IFA":[80],"corpus,":[81],"consists":[83],"50000":[85],"words.":[86],"Different":[87],"experiments":[88],"are":[89,106],"conducted":[90],"tuned":[92],"Systems":[94],"(FLSs)":[95],"Neural":[97,117],"Networks":[98],"(NNs).":[99],"The":[100,142],"experimental":[101],"results":[102],"show":[103],"that":[104,123,166],"FLSs":[105],"more":[107],"efficient":[108],"duration":[111],"comparison":[114],"their":[116],"Network":[118],"counterparts.":[119],"Furthermore,":[120],"observe":[122],"differentiating":[124],"between":[125,147],"vowels":[127,148],"consonants":[130,150],"improves":[131],"predictions,":[135],"can":[137],"facilitate":[138],"enhanced":[139],"ASR":[140,192],"systems.":[141,193],"FLS":[143],"with":[144],"differentiation":[146],"had":[151],"average":[153],"Mean":[154],"Average":[155],"Precision":[156],"Error":[157],"43.3396%":[159],"k=3":[162],"fold.":[163],"We":[164],"believe":[165],"attempt":[169],"employment":[172],"will":[177],"be":[178],"important":[180],"step":[181],"wider":[184]},"counts_by_year":[],"updated_date":"2026-03-15T09:29:46.208133","created_date":"2025-10-10T00:00:00"}
