{"id":"https://openalex.org/W2115204206","doi":"https://doi.org/10.1109/icassp.2012.6289027","title":"Corpus-independent history compression for stochastic turn-taking models","display_name":"Corpus-independent history compression for stochastic turn-taking models","publication_year":2012,"publication_date":"2012-03-01","ids":{"openalex":"https://openalex.org/W2115204206","doi":"https://doi.org/10.1109/icassp.2012.6289027","mag":"2115204206"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2012.6289027","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2012.6289027","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5030859194","display_name":"Kornel Laskowski","orcid":"https://orcid.org/0009-0008-8060-6913"},"institutions":[{"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":"Kornel Laskowski","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, PA, USA","Carnegie-Mellon University, Pittsburgh, Pa., USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["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/A5107174154","display_name":"Elizabeth Shriberg","orcid":"https://orcid.org/0009-0004-3779-4956"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Elizabeth Shriberg","raw_affiliation_strings":["Microsoft Speech Laboratories, Mountain View, CA, USA","Microsoft Speech Labs, Mountain View CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Speech Laboratories, Mountain View, CA, USA","institution_ids":["https://openalex.org/I1290206253"]},{"raw_affiliation_string":"Microsoft Speech Labs, Mountain View CA, USA","institution_ids":["https://openalex.org/I1290206253"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.3008,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.80915699,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"4937","last_page":"4940"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12031","display_name":"Speech and dialogue systems","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"}},"topics":[{"id":"https://openalex.org/T12031","display_name":"Speech and dialogue systems","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/T10383","display_name":"Language, Discourse, Communication Strategies","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/1203","display_name":"Language and Linguistics"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10403","display_name":"Phonetics and Phonology Research","score":0.9926000237464905,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6861741542816162},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6754426956176758},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.6429136395454407},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.5884237885475159},{"id":"https://openalex.org/keywords/logarithm","display_name":"Logarithm","score":0.5406562685966492},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5101545453071594},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5018420219421387},{"id":"https://openalex.org/keywords/context-model","display_name":"Context model","score":0.4385341703891754},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38563358783721924},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.32829976081848145},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.24565380811691284},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16278254985809326},{"id":"https://openalex.org/keywords/history","display_name":"History","score":0.1431518793106079}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6861741542816162},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6754426956176758},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.6429136395454407},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.5884237885475159},{"id":"https://openalex.org/C39927690","wikidata":"https://www.wikidata.org/wiki/Q11197","display_name":"Logarithm","level":2,"score":0.5406562685966492},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5101545453071594},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5018420219421387},{"id":"https://openalex.org/C183322885","wikidata":"https://www.wikidata.org/wiki/Q17007702","display_name":"Context model","level":3,"score":0.4385341703891754},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38563358783721924},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.32829976081848145},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.24565380811691284},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16278254985809326},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.1431518793106079},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"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/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","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/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icassp.2012.6289027","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2012.6289027","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.299.3800","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.299.3800","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.speech.sri.com/papers/icassp2012-turnmodel-history-compression.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W9486812","https://openalex.org/W84152617","https://openalex.org/W1520658121","https://openalex.org/W1523618214","https://openalex.org/W1983739562","https://openalex.org/W2015782794","https://openalex.org/W2067097374","https://openalex.org/W2097127032","https://openalex.org/W2156597615","https://openalex.org/W2166637769","https://openalex.org/W6600402101","https://openalex.org/W6603462714","https://openalex.org/W6631018878","https://openalex.org/W6631266019"],"related_works":["https://openalex.org/W2046736294","https://openalex.org/W4401442391","https://openalex.org/W2980815195","https://openalex.org/W48199998","https://openalex.org/W1519526186","https://openalex.org/W2260200182","https://openalex.org/W4293584968","https://openalex.org/W2384758770","https://openalex.org/W2032964960","https://openalex.org/W4382701036"],"abstract_inverted_index":{"Stochastic":[0],"turn-taking":[1],"models":[2],"use":[3],"a":[4,15,72],"truncated":[5],"representation":[6],"of":[7,76,89],"past":[8],"speech":[9],"activity":[10],"to":[11,18,34,56],"specify":[12],"how":[13,31],"likely":[14],"speaker":[16,82],"is":[17,30,78,93],"talk":[19],"at":[20,94],"the":[21,36,66,86,90,100,107],"next":[22],"instant.":[23],"An":[24],"unanswered":[25],"question":[26,42],"in":[27,65],"such":[28],"modeling":[29],"far":[32],"back":[33],"extend":[35],"conditioning":[37,91],"context.":[38],"We":[39,52,68],"study":[40],"this":[41],"using":[43],"Switchboard":[44],"(English,":[45],"telephone)":[46],"and":[47,83,98],"Spontal":[48],"(Swedish,":[49],"face-to-face)":[50],"conversations.":[51],"also":[53],"explore":[54],"whether":[55],"trade":[57],"off":[58],"precision":[59],"with":[60],"range":[61],"when":[62],"moving":[63],"backward":[64],"history.":[67],"find":[69],"that":[70],"(1)":[71],"nearly":[73],"logarithmic":[74],"compression":[75,101],"history":[77],"optimal,":[79],"for":[80],"both":[81],"interlocutor;":[84],"(2)":[85],"absolute":[87],"duration":[88],"context":[92],"least":[95],"7":[96],"seconds;":[97],"(3)":[99],"scheme":[102],"generalizes":[103],"remarkably":[104],"well":[105],"across":[106],"two":[108],"different":[109],"corpora.":[110]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2012,"cited_by_count":4}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}