{"id":"https://openalex.org/W2983387472","doi":"https://doi.org/10.1109/iisa.2019.8900720","title":"A Methodology for Generated Text Annotation for High Quality Speech Synthesis","display_name":"A Methodology for Generated Text Annotation for High Quality Speech Synthesis","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2983387472","doi":"https://doi.org/10.1109/iisa.2019.8900720","mag":"2983387472"},"language":"en","primary_location":{"id":"doi:10.1109/iisa.2019.8900720","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iisa.2019.8900720","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 10th International Conference on Information, Intelligence, Systems and Applications (IISA)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5034227751","display_name":"Dimitris Spiliotopoulos","orcid":"https://orcid.org/0000-0003-3646-1362"},"institutions":[{"id":"https://openalex.org/I158716096","display_name":"University of Peloponnese","ror":"https://ror.org/04d4d3c02","country_code":"GR","type":"education","lineage":["https://openalex.org/I158716096"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Dimitris Spiliotopoulos","raw_affiliation_strings":["University of the Peloponnese,Department of Informatics and Telecommunications,Tripoli,Greece","Department of Informatics and Telecommunications, University of the Peloponnese, Tripoli, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of the Peloponnese,Department of Informatics and Telecommunications,Tripoli,Greece","institution_ids":["https://openalex.org/I158716096"]},{"raw_affiliation_string":"Department of Informatics and Telecommunications, University of the Peloponnese, Tripoli, Greece","institution_ids":["https://openalex.org/I158716096"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089364392","display_name":"Costas Vassilakis","orcid":"https://orcid.org/0000-0001-9940-1821"},"institutions":[{"id":"https://openalex.org/I158716096","display_name":"University of Peloponnese","ror":"https://ror.org/04d4d3c02","country_code":"GR","type":"education","lineage":["https://openalex.org/I158716096"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Costas Vassilakis","raw_affiliation_strings":["University of the Peloponnese,Department of Informatics and Telecommunications,Tripoli,Greece","Department of Informatics and Telecommunications, University of the Peloponnese, Tripoli, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of the Peloponnese,Department of Informatics and Telecommunications,Tripoli,Greece","institution_ids":["https://openalex.org/I158716096"]},{"raw_affiliation_string":"Department of Informatics and Telecommunications, University of the Peloponnese, Tripoli, Greece","institution_ids":["https://openalex.org/I158716096"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070417213","display_name":"Dionisis Margaris","orcid":"https://orcid.org/0000-0002-7487-374X"},"institutions":[{"id":"https://openalex.org/I200777214","display_name":"National and Kapodistrian University of Athens","ror":"https://ror.org/04gnjpq42","country_code":"GR","type":"education","lineage":["https://openalex.org/I200777214"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Dionisis Margaris","raw_affiliation_strings":["University of Athens,Department of Informatics and Telecommunications,Athens,Greece","Department of Informatics and Telecommunications, University of Athens, Athens, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Athens,Department of Informatics and Telecommunications,Athens,Greece","institution_ids":["https://openalex.org/I200777214"]},{"raw_affiliation_string":"Department of Informatics and Telecommunications, University of Athens, Athens, Greece","institution_ids":["https://openalex.org/I200777214"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026253993","display_name":"Konstantinos Kotis","orcid":"https://orcid.org/0000-0001-7838-9691"},"institutions":[{"id":"https://openalex.org/I98805295","display_name":"University of the Aegean","ror":"https://ror.org/03zsp3p94","country_code":"GR","type":"education","lineage":["https://openalex.org/I98805295"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Kostantinos Kotis","raw_affiliation_strings":["University of the Aegean,Department of Cultural Technology and Communication,Lesvos,Greece","Department of Cultural Technology and Communication, University of the Aegean, Lesvos, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of the Aegean,Department of Cultural Technology and Communication,Lesvos,Greece","institution_ids":["https://openalex.org/I98805295"]},{"raw_affiliation_string":"Department of Cultural Technology and Communication, University of the Aegean, Lesvos, Greece","institution_ids":["https://openalex.org/I98805295"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12031","display_name":"Speech and dialogue systems","score":0.9988999962806702,"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/T12031","display_name":"Speech and dialogue systems","score":0.9988999962806702,"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":0.9987000226974487,"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/T10028","display_name":"Topic Modeling","score":0.9943000078201294,"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":0.7996720671653748},{"id":"https://openalex.org/keywords/speech-synthesis","display_name":"Speech synthesis","score":0.7486453056335449},{"id":"https://openalex.org/keywords/naturalness","display_name":"Naturalness","score":0.706729531288147},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6806806921958923},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.6692347526550293},{"id":"https://openalex.org/keywords/prosody","display_name":"Prosody","score":0.6148351430892944},{"id":"https://openalex.org/keywords/plain-text","display_name":"Plain text","score":0.5816841721534729},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5519890785217285},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.51570063829422},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.5038737654685974},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4825141131877899},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.4360150396823883},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.4313659369945526},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.42790186405181885},{"id":"https://openalex.org/keywords/speech-corpus","display_name":"Speech corpus","score":0.4232363998889923},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.19320327043533325}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7996720671653748},{"id":"https://openalex.org/C14999030","wikidata":"https://www.wikidata.org/wiki/Q16346","display_name":"Speech synthesis","level":2,"score":0.7486453056335449},{"id":"https://openalex.org/C134537474","wikidata":"https://www.wikidata.org/wiki/Q17144832","display_name":"Naturalness","level":2,"score":0.706729531288147},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6806806921958923},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.6692347526550293},{"id":"https://openalex.org/C542774811","wikidata":"https://www.wikidata.org/wiki/Q10880526","display_name":"Prosody","level":2,"score":0.6148351430892944},{"id":"https://openalex.org/C46503548","wikidata":"https://www.wikidata.org/wiki/Q1145976","display_name":"Plain text","level":3,"score":0.5816841721534729},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5519890785217285},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.51570063829422},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.5038737654685974},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4825141131877899},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.4360150396823883},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4313659369945526},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.42790186405181885},{"id":"https://openalex.org/C91863865","wikidata":"https://www.wikidata.org/wiki/Q4349497","display_name":"Speech corpus","level":3,"score":0.4232363998889923},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.19320327043533325},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C148730421","wikidata":"https://www.wikidata.org/wiki/Q141090","display_name":"Encryption","level":2,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iisa.2019.8900720","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iisa.2019.8900720","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 10th International Conference on Information, Intelligence, Systems and Applications (IISA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.75,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W26367467","https://openalex.org/W117504449","https://openalex.org/W155051124","https://openalex.org/W176245312","https://openalex.org/W1489682032","https://openalex.org/W1510007267","https://openalex.org/W1546533840","https://openalex.org/W1565933998","https://openalex.org/W1569619471","https://openalex.org/W1597675838","https://openalex.org/W1831733444","https://openalex.org/W1845087794","https://openalex.org/W1878590289","https://openalex.org/W1967788125","https://openalex.org/W1988750378","https://openalex.org/W1990977645","https://openalex.org/W2053575081","https://openalex.org/W2055418239","https://openalex.org/W2068603351","https://openalex.org/W2073859581","https://openalex.org/W2102003408","https://openalex.org/W2117400858","https://openalex.org/W2126155202","https://openalex.org/W2145699207","https://openalex.org/W2153205357","https://openalex.org/W2399355197","https://openalex.org/W2551459384","https://openalex.org/W2552187439","https://openalex.org/W2594645728","https://openalex.org/W2596556435","https://openalex.org/W2745708520","https://openalex.org/W2746657675","https://openalex.org/W2750170045","https://openalex.org/W2753177671","https://openalex.org/W2763713171","https://openalex.org/W2766533978","https://openalex.org/W2800818180","https://openalex.org/W2885838905","https://openalex.org/W2898951987","https://openalex.org/W4244087476","https://openalex.org/W4390912737","https://openalex.org/W6601090869","https://openalex.org/W6604716543","https://openalex.org/W6606300241","https://openalex.org/W6632501810","https://openalex.org/W6635914415","https://openalex.org/W6639371816","https://openalex.org/W6675380101","https://openalex.org/W6677437730","https://openalex.org/W6682824694","https://openalex.org/W6712310176","https://openalex.org/W6754179144","https://openalex.org/W6860453567"],"related_works":["https://openalex.org/W169399214","https://openalex.org/W4391272374","https://openalex.org/W1914543332","https://openalex.org/W1984347656","https://openalex.org/W2946856121","https://openalex.org/W40885451","https://openalex.org/W10581632","https://openalex.org/W1927421023","https://openalex.org/W2108985546","https://openalex.org/W2081919107"],"abstract_inverted_index":{"Natural":[0],"Language":[1],"Generators":[2],"may":[3,11,30],"generate":[4],"texts":[5],"that":[6,29],"are":[7],"linguistically":[8],"enriched.":[9],"These":[10],"result":[12],"in":[13,50],"significantly":[14],"improved":[15,137],"synthetic":[16,108],"speech.":[17,143],"At":[18],"the":[19,22,55,61,65,79,86,97,100,111,130,141],"same":[20],"time,":[21],"generators":[23,44],"produce":[24],"pieces":[25],"of":[26,54,93,99,140],"plain":[27,80,94,124],"text":[28,125],"span":[31],"between":[32],"a":[33,37],"single":[34],"word":[35],"to":[36,64,136],"full":[38],"sentence.":[39],"Additionally,":[40],"traditional":[41],"natural":[42],"language":[43,52],"have":[45],"limited":[46],"domain":[47,90],"coverage,":[48],"resulting":[49,112],"restricted":[51],"analysis":[53],"generated":[56,105,132],"texts.":[57],"For":[58],"those":[59],"cases":[60],"enriched":[62],"input":[63],"speech":[66,72,109],"synthesizer,":[67],"required":[68],"for":[69,88,123],"high":[70],"quality":[71],"synthesis,":[73],"can":[74],"be":[75],"provided":[76],"by":[77,117],"analysing":[78],"text.":[81,106,133],"This":[82,134],"work":[83],"reports":[84],"on":[85,127],"method":[87],"automatic":[89],"dependent":[91],"annotation":[92,121],"text,":[95],"through":[96],"utilisation":[98],"linguistic":[101],"information":[102],"from":[103,110],"rich":[104,131],"The":[107],"prosody":[113],"models":[114],"is":[115],"evaluated":[116],"human":[118],"participants":[119],"showing":[120],"results":[122],"quite":[126],"par":[128],"with":[129],"leads":[135],"perceived":[138],"naturalness":[139],"synthesized":[142]},"counts_by_year":[{"year":2021,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}