{"id":"https://openalex.org/W1552618066","doi":"https://doi.org/10.1109/icassp.2015.7178998","title":"An information-theoretic framework for automated discovery of prosodic cues to conversational structure","display_name":"An information-theoretic framework for automated discovery of prosodic cues to conversational structure","publication_year":2015,"publication_date":"2015-04-01","ids":{"openalex":"https://openalex.org/W1552618066","doi":"https://doi.org/10.1109/icassp.2015.7178998","mag":"1552618066"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2015.7178998","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2015.7178998","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5030859194","display_name":"Kornel Laskowski","orcid":"https://orcid.org/0009-0008-8060-6913"},"institutions":[{"id":"https://openalex.org/I4210156337","display_name":"Voci (United States)","ror":"https://ror.org/05tdgz517","country_code":"US","type":"company","lineage":["https://openalex.org/I4210156337"]},{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"K. Laskowski","raw_affiliation_strings":["Carnegie Mellon University USA Voci Technologies, Inc., Pittsburgh, PA, USA","Carnegie-Mellon University, Pittsburgh, Pa., USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University USA Voci Technologies, Inc., Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I4210156337","https://openalex.org/I74973139"]},{"raw_affiliation_string":"Carnegie-Mellon University, Pittsburgh, Pa., USA#TAB#","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072788389","display_name":"Anna Hjalmarsson","orcid":"https://orcid.org/0000-0002-5758-7610"},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"A. Hjalmarsson","raw_affiliation_strings":["KTH Speech Music and Hearing Stockholm, Sweden","KTH Speech, Music and Hearing, Stockholm, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KTH Speech Music and Hearing Stockholm, Sweden","institution_ids":[]},{"raw_affiliation_string":"KTH Speech, Music and Hearing, Stockholm, Sweden","institution_ids":["https://openalex.org/I86987016"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4452,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.75733726,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"5376","last_page":"5380"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12031","display_name":"Speech and dialogue systems","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/T12031","display_name":"Speech and dialogue systems","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/T10403","display_name":"Phonetics and Phonology Research","score":0.9991999864578247,"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":0.9951000213623047,"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/conversation","display_name":"Conversation","score":0.8293972015380859},{"id":"https://openalex.org/keywords/surprise","display_name":"Surprise","score":0.8290911912918091},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7635996341705322},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6211334466934204},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5637206435203552},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.536111056804657},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4667321443557739},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4664003252983093},{"id":"https://openalex.org/keywords/mutual-information","display_name":"Mutual information","score":0.4613940715789795},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.4406803548336029},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.4303135871887207},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.42860332131385803},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.16529828310012817},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.1424432098865509},{"id":"https://openalex.org/keywords/communication","display_name":"Communication","score":0.08394646644592285},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.08135098218917847},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07200896739959717},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.06848809123039246}],"concepts":[{"id":"https://openalex.org/C2777200299","wikidata":"https://www.wikidata.org/wiki/Q52943","display_name":"Conversation","level":2,"score":0.8293972015380859},{"id":"https://openalex.org/C2780343955","wikidata":"https://www.wikidata.org/wiki/Q333173","display_name":"Surprise","level":2,"score":0.8290911912918091},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7635996341705322},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6211334466934204},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5637206435203552},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.536111056804657},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4667321443557739},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4664003252983093},{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.4613940715789795},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.4406803548336029},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.4303135871887207},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.42860332131385803},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.16529828310012817},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.1424432098865509},{"id":"https://openalex.org/C46312422","wikidata":"https://www.wikidata.org/wiki/Q11024","display_name":"Communication","level":1,"score":0.08394646644592285},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.08135098218917847},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07200896739959717},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.06848809123039246},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2015.7178998","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2015.7178998","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","score":0.5799999833106995,"display_name":"Decent work and economic growth"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320310207","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W9486812","https://openalex.org/W293546496","https://openalex.org/W1533504578","https://openalex.org/W1554663460","https://openalex.org/W1903951673","https://openalex.org/W1964725106","https://openalex.org/W1998677696","https://openalex.org/W2008741806","https://openalex.org/W2025357764","https://openalex.org/W2025603560","https://openalex.org/W2049515993","https://openalex.org/W2099111195","https://openalex.org/W2115204206","https://openalex.org/W2153190547","https://openalex.org/W2158195707","https://openalex.org/W2162060208","https://openalex.org/W4248634141","https://openalex.org/W4388297464","https://openalex.org/W6600402101","https://openalex.org/W6610460130","https://openalex.org/W6632002277","https://openalex.org/W6649804639","https://openalex.org/W6674504384"],"related_works":["https://openalex.org/W4236382845","https://openalex.org/W4388712630","https://openalex.org/W2481168998","https://openalex.org/W2476994687","https://openalex.org/W642988558","https://openalex.org/W2324507472","https://openalex.org/W2511141457","https://openalex.org/W1999899047","https://openalex.org/W3135533472","https://openalex.org/W3048853838"],"abstract_inverted_index":{"Interaction":[0],"timing":[1],"in":[2,80,120],"conversation":[3,45],"exhibits":[4],"myriad":[5],"variabilities,":[6],"yet":[7],"it":[8],"is":[9,16,79,106],"patently":[10],"not":[11],"random.":[12],"However,":[13],"identifying":[14,100],"consistencies":[15],"a":[17,28,51],"manually":[18],"labor-intensive":[19],"effort,":[20],"and":[21,66,113],"findings":[22],"have":[23],"been":[24],"limited.":[25],"We":[26,57,89],"propose":[27],"conditonal":[29],"mutual":[30],"information":[31],"measure":[32],"of":[33,36,76,95,116],"the":[34,59,73,77,92],"influence":[35,105],"prosodic":[37],"features,":[38],"which":[39,98],"can":[40],"be":[41],"computed":[42],"for":[43],"any":[44,47],"at":[46,85],"instant,":[48],"with":[49],"only":[50],"speech/non-speech":[52],"segmentation":[53],"as":[54],"its":[55],"requirement.":[56],"evaluate":[58],"methodology":[60],"on":[61,83],"two":[62],"segmental":[63],"features:":[64],"energy":[65],"speaking":[67],"rate.":[68],"Results":[69],"indicate":[70],"that":[71],"energy,":[72],"less":[74],"controversial":[75],"two,":[78],"fact":[81],"better":[82],"average":[84],"predicting":[86],"conversational":[87],"structure.":[88],"also":[90],"explore":[91],"temporal":[93],"evolution":[94],"model":[96],"\u201csurprise\u201d,":[97],"permits":[99],"instants":[101],"where":[102],"each":[103],"feature's":[104],"operative.":[107],"The":[108],"method":[109],"corroborates":[110],"earlier":[111],"findings,":[112],"appears":[114],"capable":[115],"large-scale":[117],"data-driven":[118],"discovery":[119],"future":[121],"research.":[122]},"counts_by_year":[{"year":2017,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
