{"id":"https://openalex.org/W2073739725","doi":"https://doi.org/10.1080/09296170801961827","title":"Development and evaluation of a prosodic database for Greek speech synthesis and research\u2217","display_name":"Development and evaluation of a prosodic database for Greek speech synthesis and research\u2217","publication_year":2008,"publication_date":"2008-04-15","ids":{"openalex":"https://openalex.org/W2073739725","doi":"https://doi.org/10.1080/09296170801961827","mag":"2073739725"},"language":"en","primary_location":{"id":"doi:10.1080/09296170801961827","is_oa":false,"landing_page_url":"https://doi.org/10.1080/09296170801961827","pdf_url":null,"source":{"id":"https://openalex.org/S24321443","display_name":"Journal of Quantitative Linguistics","issn_l":"0929-6174","issn":["0929-6174","1744-5035"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319847","host_organization_name":"Routledge","host_organization_lineage":["https://openalex.org/P4310319847"],"host_organization_lineage_names":["Routledge"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Quantitative Linguistics","raw_type":"journal-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/A5109328120","display_name":"P Zervas","orcid":"https://orcid.org/0000-0003-2710-1066"},"institutions":[{"id":"https://openalex.org/I174878644","display_name":"University of Patras","ror":"https://ror.org/017wvtq80","country_code":"GR","type":"education","lineage":["https://openalex.org/I174878644"]}],"countries":["GR"],"is_corresponding":true,"raw_author_name":"P. Zervas","raw_affiliation_strings":["Wire Communications Laboratory, Electrical and Computer Engineering Department , University of Patras , Greece"],"affiliations":[{"raw_affiliation_string":"Wire Communications Laboratory, Electrical and Computer Engineering Department , University of Patras , Greece","institution_ids":["https://openalex.org/I174878644"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108443941","display_name":"Nikos Fakotakis","orcid":null},"institutions":[{"id":"https://openalex.org/I174878644","display_name":"University of Patras","ror":"https://ror.org/017wvtq80","country_code":"GR","type":"education","lineage":["https://openalex.org/I174878644"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"N. Fakotakis","raw_affiliation_strings":["Wire Communications Laboratory, Electrical and Computer Engineering Department , University of Patras , Greece"],"affiliations":[{"raw_affiliation_string":"Wire Communications Laboratory, Electrical and Computer Engineering Department , University of Patras , Greece","institution_ids":["https://openalex.org/I174878644"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109036693","display_name":"G. Kokkinakis","orcid":null},"institutions":[{"id":"https://openalex.org/I174878644","display_name":"University of Patras","ror":"https://ror.org/017wvtq80","country_code":"GR","type":"education","lineage":["https://openalex.org/I174878644"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"G. Kokkinakis","raw_affiliation_strings":["Wire Communications Laboratory, Electrical and Computer Engineering Department , University of Patras , Greece"],"affiliations":[{"raw_affiliation_string":"Wire Communications Laboratory, Electrical and Computer Engineering Department , University of Patras , Greece","institution_ids":["https://openalex.org/I174878644"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5109328120"],"corresponding_institution_ids":["https://openalex.org/I174878644"],"apc_list":null,"apc_paid":null,"fwci":4.1328,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.93755242,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"15","issue":"2","first_page":"154","last_page":"184"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9987000226974487,"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":0.9975000023841858,"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":0.7602621912956238},{"id":"https://openalex.org/keywords/speech-corpus","display_name":"Speech corpus","score":0.6062184572219849},{"id":"https://openalex.org/keywords/prosody","display_name":"Prosody","score":0.5621170997619629},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.551092267036438},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5340330600738525},{"id":"https://openalex.org/keywords/speech-synthesis","display_name":"Speech synthesis","score":0.5209706425666809},{"id":"https://openalex.org/keywords/phrase","display_name":"Phrase","score":0.5102224349975586},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4914332628250122},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.46902647614479065},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3859119713306427}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7602621912956238},{"id":"https://openalex.org/C91863865","wikidata":"https://www.wikidata.org/wiki/Q4349497","display_name":"Speech corpus","level":3,"score":0.6062184572219849},{"id":"https://openalex.org/C542774811","wikidata":"https://www.wikidata.org/wiki/Q10880526","display_name":"Prosody","level":2,"score":0.5621170997619629},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.551092267036438},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5340330600738525},{"id":"https://openalex.org/C14999030","wikidata":"https://www.wikidata.org/wiki/Q16346","display_name":"Speech synthesis","level":2,"score":0.5209706425666809},{"id":"https://openalex.org/C2776224158","wikidata":"https://www.wikidata.org/wiki/Q187931","display_name":"Phrase","level":2,"score":0.5102224349975586},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4914332628250122},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.46902647614479065},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3859119713306427},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/09296170801961827","is_oa":false,"landing_page_url":"https://doi.org/10.1080/09296170801961827","pdf_url":null,"source":{"id":"https://openalex.org/S24321443","display_name":"Journal of Quantitative Linguistics","issn_l":"0929-6174","issn":["0929-6174","1744-5035"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319847","host_organization_name":"Routledge","host_organization_lineage":["https://openalex.org/P4310319847"],"host_organization_lineage_names":["Routledge"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Quantitative Linguistics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.8299999833106995}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W65791558","https://openalex.org/W92308982","https://openalex.org/W103736617","https://openalex.org/W150325937","https://openalex.org/W1499275966","https://openalex.org/W1521476198","https://openalex.org/W1525071400","https://openalex.org/W1581253957","https://openalex.org/W1594031697","https://openalex.org/W1604793456","https://openalex.org/W1907547768","https://openalex.org/W1919145868","https://openalex.org/W1974555773","https://openalex.org/W1989768143","https://openalex.org/W2007605886","https://openalex.org/W2025617415","https://openalex.org/W2059170137","https://openalex.org/W2063292270","https://openalex.org/W2093414802","https://openalex.org/W2107831318","https://openalex.org/W2116043656","https://openalex.org/W2124924501","https://openalex.org/W2125055259","https://openalex.org/W2149081372","https://openalex.org/W2161167754","https://openalex.org/W2241467537","https://openalex.org/W2597684388","https://openalex.org/W2608040521","https://openalex.org/W2752885492","https://openalex.org/W3085162807","https://openalex.org/W3146055280","https://openalex.org/W3216401400","https://openalex.org/W4206906090","https://openalex.org/W4245531607"],"related_works":["https://openalex.org/W1927421023","https://openalex.org/W10581632","https://openalex.org/W3149582125","https://openalex.org/W1984347656","https://openalex.org/W2532587587","https://openalex.org/W1965141925","https://openalex.org/W2465421051","https://openalex.org/W652196294","https://openalex.org/W2368700418","https://openalex.org/W2161314515"],"abstract_inverted_index":{"Abstract":[0],"In":[1],"this":[2,93],"article":[3],"the":[4,23,40,48,101,114,123,138,147,170,192,221],"definition,":[5],"construction":[6],"and":[7,39,89,161,186,203],"statistical":[8],"evaluation":[9],"of":[10,14,25,42,50,64,104,179,199,211,230],"a":[11,27,33,56,70,76,105,119,142,226],"prosodic":[12,130,200],"database":[13,28,168,173],"Greek":[15,66,73,129,231],"speech":[16,116,133,172],"are":[17],"presented.":[18],"The":[19,108,132],"main":[20],"motivation":[21],"for":[22,36],"development":[24],"such":[26],"was":[29,80,94,175,214],"its":[30],"use":[31],"as":[32],"research":[34],"tool":[35],"Text-to-Speech":[37],"synthesis":[38],"study":[41],"prosody":[43],"in":[44,86,100,184],"general.":[45],"Beginning":[46],"with":[47,61,225],"task":[49],"text":[51],"selection":[52],"we":[53,195],"came":[54],"to":[55,82,128,137,217],"final":[57],"set":[58],"containing":[59],"sentences":[60,85],"almost":[62],"95%":[63],"all":[65],"syllables,":[67],"extracted":[68],"from":[69,207],"widely":[71],"used":[72],"dictionary.":[74],"Then,":[75],"professional":[77,106],"radio":[78],"actress":[79],"instructed":[81],"utter":[83],"these":[84,212],"reading":[87,91],"style":[88],"at":[90,96],"rate;":[92],"recorded":[95],"44":[97],"kHz/16":[98],"bits,":[99],"anechoic":[102],"chamber":[103],"studio.":[107],"intonational":[109,160],"phenomena":[110],"were":[111,135,152],"transcribed":[112],"on":[113,146,191],"corresponding":[115],"signals":[117],"by":[118],"trained":[120],"phonetician":[121],"using":[122],"ToBI":[124],"annotation":[125],"model":[126],"adapted":[127],"patterns.":[131],"data":[134],"segmented":[136],"phoneme":[139,143],"level":[140],"employing":[141],"recognizer":[144],"based":[145],"HTK":[148],"platform.":[149],"All":[150],"files":[151],"aligned":[153],"so":[154],"that":[155],"possible":[156],"relations":[157],"among":[158],"text,":[159],"durational":[162],"labelling":[163],"could":[164],"be":[165],"identified.":[166],"For":[167],"management,":[169],"EMU":[171],"system":[174],"utilized.":[176],"Extensive":[177],"measurements":[178],"numerous":[180],"annotated":[181],"events":[182],"presented":[183],"histograms":[185],"tables":[187],"provide":[188],"detailed":[189],"information":[190],"database.":[193,209],"Finally,":[194],"evaluate":[196],"prediction":[197],"models":[198,213,218],"phrase":[201],"breaks":[202],"pitch":[204],"accents":[205],"derived":[206,219],"our":[208],"Performance":[210],"also":[215],"compared":[216],"under":[220],"same":[222],"experimental":[223],"conditions":[224],"limited":[227],"domain":[228],"corpus":[229],"speech.":[232]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-03-29T08:15:47.926485","created_date":"2025-10-10T00:00:00"}
