{"id":"https://openalex.org/W4299703523","doi":"https://doi.org/10.21437/icslp.1996-212","title":"Detection of phrase boundaries in Japanese by low-pass filtering of fundamental frequency contours","display_name":"Detection of phrase boundaries in Japanese by low-pass filtering of fundamental frequency contours","publication_year":1996,"publication_date":"1996-10-03","ids":{"openalex":"https://openalex.org/W4299703523","doi":"https://doi.org/10.21437/icslp.1996-212"},"language":"en","primary_location":{"id":"doi:10.21437/icslp.1996-212","is_oa":false,"landing_page_url":"https://doi.org/10.21437/icslp.1996-212","pdf_url":null,"source":{"id":"https://openalex.org/S4363607739","display_name":"4th International Conference on Spoken Language Processing (ICSLP 1996)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"4th International Conference on Spoken Language Processing (ICSLP 1996)","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/A5019267684","display_name":"Atsuhiro Sakurai","orcid":null},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Atsuhiro Sakurai","raw_affiliation_strings":["Dept. of Information and Communication Engineering, University o f T okyo 7{3{1 Hongo, Bunkyo{ku, Tokyo, 113 Japan"],"affiliations":[{"raw_affiliation_string":"Dept. of Information and Communication Engineering, University o f T okyo 7{3{1 Hongo, Bunkyo{ku, Tokyo, 113 Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108197272","display_name":"Keikichi Hirose","orcid":null},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Keikichi Hirose","raw_affiliation_strings":["Dept. of Information and Communication Engineering, University o f T okyo 7{3{1 Hongo, Bunkyo{ku, Tokyo, 113 Japan"],"affiliations":[{"raw_affiliation_string":"Dept. of Information and Communication Engineering, University o f T okyo 7{3{1 Hongo, Bunkyo{ku, Tokyo, 113 Japan","institution_ids":["https://openalex.org/I74801974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5019267684"],"corresponding_institution_ids":["https://openalex.org/I74801974"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.43294615,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"817","last_page":"820"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.6065999865531921,"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/T10320","display_name":"Neural Networks and Applications","score":0.6065999865531921,"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/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.5896000266075134,"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":0.521399974822998,"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/phrase","display_name":"Phrase","score":0.7586802244186401},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5293481945991516},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3470219373703003},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.34610694646835327},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.21497181057929993}],"concepts":[{"id":"https://openalex.org/C2776224158","wikidata":"https://www.wikidata.org/wiki/Q187931","display_name":"Phrase","level":2,"score":0.7586802244186401},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5293481945991516},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3470219373703003},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.34610694646835327},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.21497181057929993}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21437/icslp.1996-212","is_oa":false,"landing_page_url":"https://doi.org/10.21437/icslp.1996-212","pdf_url":null,"source":{"id":"https://openalex.org/S4363607739","display_name":"4th International Conference on Spoken Language Processing (ICSLP 1996)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"4th International Conference on Spoken Language Processing (ICSLP 1996)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5099999904632568,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W1506478094","https://openalex.org/W2034277951","https://openalex.org/W2104995104","https://openalex.org/W2117890014","https://openalex.org/W2742954640"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2039546652","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2012262991","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Major":[0],"syntactic":[1,36],"boundaries":[2,37,91],"are":[3,67,92],"often":[4],"accompanied":[5],"by":[6,141,148],"a":[7,32,60,95,131],"rise":[8,40,97],"in":[9,71,99,116],"the":[10,14,27,46,49,53,72,100,103,143,149],"phrase":[11,42,81,109,127],"component":[12,51],"of":[13,48,52,102,108,124],"fundamental":[15],"frequency":[16,89],"(F0)":[17],"contour.Detecting":[18],"such":[19],"rises,":[20],"therefore,":[21],"can":[22,76,113,138],"be":[23,77,114,139],"signicantly":[24],"helpful":[25],"to":[26,34,86,120],"speech":[28],"recognition":[29],"process.We":[30],"developed":[31],"method":[33,118],"detect":[35,121],"with":[38,130],"phrasecomponent":[39],"(henceforth,":[41],"boundaries),":[43],"based":[44],"on":[45],"compression":[47],"accent":[50,83,111],"F0":[54,65,105],"contour":[55],"(in":[56],"logarithmic":[57],"scale),":[58],"using":[59,142],"low-pass":[61],"lter.In":[62],"this":[63],"method,":[64,146],"contours":[66],"viewed":[68],"as":[69],"signals":[70],"time":[73],"domain,":[74],"which":[75],"roughly":[78],"separated":[79],"into":[80],"and":[82,110],"components":[84,112],"due":[85],"their":[87],"dierent":[88],"contents.Phrase":[90],"detected":[93],"whenever":[94],"signicant":[96],"occurs":[98],"derivative":[101],"ltered":[104],"contour.(The":[106],"concepts":[107],"found":[115],"[1]).The":[117],"managed":[119],"about":[122],"77%":[123],"manually":[125],"detectable":[126],"boundaries,":[128],"though":[129],"relatively":[132],"high":[133],"insertion":[134,136],"rate.The":[135],"rate":[137],"reduced":[140],"partial":[144],"AbS":[145],"proposed":[147],"authors":[150],"[7].":[151]},"counts_by_year":[{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
