{"id":"https://openalex.org/W2398926523","doi":"https://doi.org/10.21437/interspeech.2011-535","title":"Optimal models of prosodic prominence using the Bayesian information criterion","display_name":"Optimal models of prosodic prominence using the Bayesian information criterion","publication_year":2011,"publication_date":"2011-08-27","ids":{"openalex":"https://openalex.org/W2398926523","doi":"https://doi.org/10.21437/interspeech.2011-535","mag":"2398926523"},"language":"en","primary_location":{"id":"doi:10.21437/interspeech.2011-535","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2011-535","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2011","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/A5026170592","display_name":"Tim Mahrt","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Tim Mahrt","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112561763","display_name":"Jui-Ting Huang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jui-Ting Huang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049664375","display_name":"Yoonsook Mo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yoonsook Mo","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050996925","display_name":"Margaret M. Fleck","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Margaret Fleck","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004778663","display_name":"Mark Hasegawa\u2010Johnson","orcid":"https://orcid.org/0000-0002-5631-2893"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mark Hasegawa-Johnson","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5001457934","display_name":"Jennifer Cole","orcid":"https://orcid.org/0000-0002-0465-4920"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jennifer Cole","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5026170592"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5552,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.75277116,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"2037","last_page":"2040"},"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9997000098228455,"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":0.9983000159263611,"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/prosody","display_name":"Prosody","score":0.9453997015953064},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6478893756866455},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.643713653087616},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.6237310171127319},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6166092157363892},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6071180105209351},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.5290402770042419},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.520419180393219},{"id":"https://openalex.org/keywords/duration","display_name":"Duration (music)","score":0.5180838108062744},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.44943299889564514},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44531869888305664},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.419108510017395},{"id":"https://openalex.org/keywords/bayesian-information-criterion","display_name":"Bayesian information criterion","score":0.4173433780670166},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.33851051330566406},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.21683716773986816},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20263251662254333},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.15535342693328857},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.13023558259010315},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.12087419629096985},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.06562337279319763}],"concepts":[{"id":"https://openalex.org/C542774811","wikidata":"https://www.wikidata.org/wiki/Q10880526","display_name":"Prosody","level":2,"score":0.9453997015953064},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6478893756866455},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.643713653087616},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.6237310171127319},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6166092157363892},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6071180105209351},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.5290402770042419},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.520419180393219},{"id":"https://openalex.org/C112758219","wikidata":"https://www.wikidata.org/wiki/Q16038819","display_name":"Duration (music)","level":2,"score":0.5180838108062744},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.44943299889564514},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44531869888305664},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.419108510017395},{"id":"https://openalex.org/C168136583","wikidata":"https://www.wikidata.org/wiki/Q1988242","display_name":"Bayesian information criterion","level":2,"score":0.4173433780670166},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.33851051330566406},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.21683716773986816},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20263251662254333},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.15535342693328857},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.13023558259010315},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.12087419629096985},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.06562337279319763},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21437/interspeech.2011-535","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2011-535","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2011","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.6299999952316284,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W2013319990","https://openalex.org/W2023387493","https://openalex.org/W2059100257","https://openalex.org/W2073791162","https://openalex.org/W2135295499","https://openalex.org/W2145410271","https://openalex.org/W2147315143","https://openalex.org/W2154765984"],"related_works":["https://openalex.org/W2407375987","https://openalex.org/W3049691116","https://openalex.org/W2505726097","https://openalex.org/W2010643158","https://openalex.org/W2106867672","https://openalex.org/W3081214562","https://openalex.org/W4310268968","https://openalex.org/W2950975704","https://openalex.org/W4297815943","https://openalex.org/W2053745677"],"abstract_inverted_index":{"This":[0,95],"study":[1,51],"investigated":[2],"the":[3,25,45,65,72,88,93,103,109],"relation":[4],"between":[5,37],"various":[6],"acoustic":[7,39],"features":[8,40,107],"and":[9,18,41,113],"prominence.":[10,28,48],"Past":[11],"research":[12],"has":[13,97],"suggested":[14],"that":[15,71,78],"duration,":[16],"pitch,":[17],"intensity":[19],"all":[20],"play":[21],"a":[22,35,55,76,84],"role":[23,104],"in":[24,108],"perception":[26,110],"of":[27,47,61,102,105,111],"In":[29],"our":[30,59,100],"past":[31],"work,":[32],"we":[33,69],"found":[34],"correlation":[36],"these":[38,106],"speaker":[42],"agreement":[43],"over":[44],"placement":[46],"The":[49],"current":[50],"was":[52],"motivated":[53],"by":[54],"need":[56],"to":[57],"enrich":[58],"understanding":[60,101],"this":[62],"correlation.":[63],"Using":[64],"Bayesian":[66],"information":[67],"criterion,":[68],"show":[70],"best":[73,89],"model":[74,90],"for":[75,99,114],"feature":[77],"cues":[79],"prosody":[80,112,115],"is":[81],"not":[82],"necessarily":[83],"single":[85],"Gaussian.":[86],"Rather,":[87],"depends":[91],"on":[92],"feature.":[94],"finding":[96],"consequences":[98],"recognition":[116],"systems.":[117]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
