{"id":"https://openalex.org/W2058412794","doi":"https://doi.org/10.1109/isspa.2003.1224721","title":"Prosodic prominence detection in speech","display_name":"Prosodic prominence detection in speech","publication_year":2003,"publication_date":"2003-01-01","ids":{"openalex":"https://openalex.org/W2058412794","doi":"https://doi.org/10.1109/isspa.2003.1224721","mag":"2058412794"},"language":"en","primary_location":{"id":"doi:10.1109/isspa.2003.1224721","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isspa.2003.1224721","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Seventh International Symposium on Signal Processing and Its Applications, 2003. Proceedings.","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/A5080820519","display_name":"Fabio Tamburini","orcid":"https://orcid.org/0000-0001-7950-0347"},"institutions":[{"id":"https://openalex.org/I9360294","display_name":"University of Bologna","ror":"https://ror.org/01111rn36","country_code":"IT","type":"education","lineage":["https://openalex.org/I9360294"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"F. Tamburini","raw_affiliation_strings":["CILTA/DEIS, University of Bologna, Italy","DEIS, Bologna University, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CILTA/DEIS, University of Bologna, Italy","institution_ids":["https://openalex.org/I9360294"]},{"raw_affiliation_string":"DEIS, Bologna University, Italy","institution_ids":["https://openalex.org/I9360294"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5080820519"],"corresponding_institution_ids":["https://openalex.org/I9360294"],"apc_list":null,"apc_paid":null,"fwci":3.5396,"has_fulltext":false,"cited_by_count":44,"citation_normalized_percentile":{"value":0.91955836,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"20","issue":null,"first_page":"385","last_page":"388 vol.1"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10403","display_name":"Phonetics and Phonology Research","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10403","display_name":"Phonetics and Phonology Research","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12031","display_name":"Speech and dialogue systems","score":0.9968000054359436,"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":0.9961000084877014,"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/syllable","display_name":"Syllable","score":0.772119402885437},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6821915507316589},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6599447131156921},{"id":"https://openalex.org/keywords/stress","display_name":"Stress (linguistics)","score":0.6004210710525513},{"id":"https://openalex.org/keywords/duration","display_name":"Duration (music)","score":0.5812134742736816},{"id":"https://openalex.org/keywords/emphasis","display_name":"Emphasis (telecommunications)","score":0.5398868918418884},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.48488956689834595},{"id":"https://openalex.org/keywords/fundamental-frequency","display_name":"Fundamental frequency","score":0.4599134027957916},{"id":"https://openalex.org/keywords/speech-processing","display_name":"Speech processing","score":0.4380559027194977},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.375190794467926},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34239867329597473},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.32600441575050354},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16583320498466492},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.16283664107322693},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.15681374073028564},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08139914274215698},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07614365220069885}],"concepts":[{"id":"https://openalex.org/C109089402","wikidata":"https://www.wikidata.org/wiki/Q8188","display_name":"Syllable","level":2,"score":0.772119402885437},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6821915507316589},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6599447131156921},{"id":"https://openalex.org/C21036866","wikidata":"https://www.wikidata.org/wiki/Q181767","display_name":"Stress (linguistics)","level":2,"score":0.6004210710525513},{"id":"https://openalex.org/C112758219","wikidata":"https://www.wikidata.org/wiki/Q16038819","display_name":"Duration (music)","level":2,"score":0.5812134742736816},{"id":"https://openalex.org/C177454536","wikidata":"https://www.wikidata.org/wiki/Q578290","display_name":"Emphasis (telecommunications)","level":2,"score":0.5398868918418884},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.48488956689834595},{"id":"https://openalex.org/C10513763","wikidata":"https://www.wikidata.org/wiki/Q1331774","display_name":"Fundamental frequency","level":2,"score":0.4599134027957916},{"id":"https://openalex.org/C61328038","wikidata":"https://www.wikidata.org/wiki/Q3358061","display_name":"Speech processing","level":2,"score":0.4380559027194977},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.375190794467926},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34239867329597473},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.32600441575050354},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16583320498466492},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.16283664107322693},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.15681374073028564},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08139914274215698},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07614365220069885},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/isspa.2003.1224721","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isspa.2003.1224721","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Seventh International Symposium on Signal Processing and Its Applications, 2003. Proceedings.","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.11.2828","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.11.2828","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cilta.unibo.it/Portale/ChiSiamo/staff/Tamburini/ISSPA2003.pdf","raw_type":"text"},{"id":"pmh:oai:cris.unibo.it:11585/897428","is_oa":false,"landing_page_url":"http://hdl.handle.net/11585/897428","pdf_url":null,"source":{"id":"https://openalex.org/S4306402579","display_name":"Archivio istituzionale della ricerca (Alma Mater Studiorum Universit\u00e0 di Bologna)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210117483","host_organization_name":"Istituto di Ematologia di Bologna","host_organization_lineage":["https://openalex.org/I4210117483"],"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/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W140606381","https://openalex.org/W175761898","https://openalex.org/W185021866","https://openalex.org/W1496594527","https://openalex.org/W1596429772","https://openalex.org/W1627557510","https://openalex.org/W1689171632","https://openalex.org/W1909138660","https://openalex.org/W1931766939","https://openalex.org/W1965635292","https://openalex.org/W1974555773","https://openalex.org/W2020203910","https://openalex.org/W2045784978","https://openalex.org/W2077662551","https://openalex.org/W2093414802","https://openalex.org/W2099593733","https://openalex.org/W2110479652","https://openalex.org/W2129249398","https://openalex.org/W2166820052","https://openalex.org/W2498631646","https://openalex.org/W3043876381","https://openalex.org/W4297675714","https://openalex.org/W4299550811","https://openalex.org/W6607111733","https://openalex.org/W6676691097","https://openalex.org/W6781327311","https://openalex.org/W6844373527"],"related_works":["https://openalex.org/W2055105357","https://openalex.org/W2153819599","https://openalex.org/W2255426644","https://openalex.org/W2072124641","https://openalex.org/W2158625849","https://openalex.org/W1968372539","https://openalex.org/W4317625904","https://openalex.org/W2284826389","https://openalex.org/W1843251871","https://openalex.org/W1485516824"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"work":[3],"in":[4,13,80],"progress":[5],"on":[6],"the":[7,76,81],"automatic":[8,60],"detection":[9],"of":[10,63],"prosodic":[11],"prominence":[12,17],"continuous":[14],"speech.":[15],"Prosodic":[16],"involves":[18],"two":[19],"different":[20],"phonetic":[21],"features:":[22],"pitch":[23],"accents,":[24],"connected":[25],"with":[26,42,68,71,75],"fundamental":[27],"frequency":[28],"(FO)":[29],"movements":[30],"and":[31,35,46],"syllable":[32,43],"overall":[33],"energy,":[34],"stress,":[36],"which":[37],"exhibits":[38],"a":[39],"strong":[40],"correlation":[41],"nuclei":[44],"duration":[45],"high-frequency":[47],"emphasis.":[48],"By":[49],"measuring":[50],"these":[51],"acoustic":[52,93],"parameters":[53],"it":[54],"is":[55],"possible":[56],"to":[57],"build":[58],"an":[59,69],"system":[61],"capable":[62],"correctly":[64],"identifying":[65],"prominent":[66],"syllables":[67],"agreement":[70,78],"human-tagged":[72],"data":[73],"comparable":[74],"inter-human":[77],"reported":[79],"literature.":[82],"These":[83],"results":[84],"were":[85],"achieved":[86],"without":[87],"using":[88],"any":[89],"information":[90],"apart":[91],"from":[92],"parameters.":[94]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
