{"id":"https://openalex.org/W2773504982","doi":"https://doi.org/10.1109/iros.2017.8206427","title":"Probabilistic nod generation model based on estimated utterance categories","display_name":"Probabilistic nod generation model based on estimated utterance categories","publication_year":2017,"publication_date":"2017-09-01","ids":{"openalex":"https://openalex.org/W2773504982","doi":"https://doi.org/10.1109/iros.2017.8206427","mag":"2773504982"},"language":"en","primary_location":{"id":"doi:10.1109/iros.2017.8206427","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros.2017.8206427","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","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/A5101905297","display_name":"Chaoran Liu","orcid":"https://orcid.org/0000-0003-3789-2981"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Chaoran Liu","raw_affiliation_strings":["ATR Hiroshi Ishiguro Lab, Kyoto, Japan"],"affiliations":[{"raw_affiliation_string":"ATR Hiroshi Ishiguro Lab, Kyoto, Japan","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000037110","display_name":"Carlos Toshinori Ishi","orcid":"https://orcid.org/0000-0001-8130-1048"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Carlos Ishi","raw_affiliation_strings":["ATR Hiroshi Ishiguro Lab, Kyoto, Japan"],"affiliations":[{"raw_affiliation_string":"ATR Hiroshi Ishiguro Lab, Kyoto, Japan","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101425832","display_name":"Hiroshi Ishiguro","orcid":"https://orcid.org/0000-0002-0805-7648"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hiroshi Ishiguro","raw_affiliation_strings":["ATR Hiroshi Ishiguro Lab, Kyoto, Japan"],"affiliations":[{"raw_affiliation_string":"ATR Hiroshi Ishiguro Lab, Kyoto, Japan","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101905297"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1849,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.48540675,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"3","issue":null,"first_page":"5333","last_page":"5339"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10860","display_name":"Speech and Audio Processing","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.9965000152587891,"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":0.9904000163078308,"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/utterance","display_name":"Utterance","score":0.8043940663337708},{"id":"https://openalex.org/keywords/nod","display_name":"Nod","score":0.7224392294883728},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.6870135068893433},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6321836709976196},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5320442914962769},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5221081972122192},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.4849681854248047},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.43802139163017273},{"id":"https://openalex.org/keywords/statistical-model","display_name":"Statistical model","score":0.4376695156097412},{"id":"https://openalex.org/keywords/probability-distribution","display_name":"Probability distribution","score":0.4187988042831421},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39401763677597046},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3616086542606354},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26379477977752686},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.14460384845733643}],"concepts":[{"id":"https://openalex.org/C2775852435","wikidata":"https://www.wikidata.org/wiki/Q258403","display_name":"Utterance","level":2,"score":0.8043940663337708},{"id":"https://openalex.org/C55851684","wikidata":"https://www.wikidata.org/wiki/Q518390","display_name":"Nod","level":3,"score":0.7224392294883728},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6870135068893433},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6321836709976196},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5320442914962769},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5221081972122192},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.4849681854248047},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.43802139163017273},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.4376695156097412},{"id":"https://openalex.org/C149441793","wikidata":"https://www.wikidata.org/wiki/Q200726","display_name":"Probability distribution","level":2,"score":0.4187988042831421},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39401763677597046},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3616086542606354},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26379477977752686},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.14460384845733643},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"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/C555293320","wikidata":"https://www.wikidata.org/wiki/Q12206","display_name":"Diabetes mellitus","level":2,"score":0.0},{"id":"https://openalex.org/C134018914","wikidata":"https://www.wikidata.org/wiki/Q162606","display_name":"Endocrinology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iros.2017.8206427","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros.2017.8206427","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.4099999964237213}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W165283731","https://openalex.org/W1482948634","https://openalex.org/W1563088657","https://openalex.org/W2054721804","https://openalex.org/W2067169334","https://openalex.org/W2087182941","https://openalex.org/W2092287437","https://openalex.org/W2103489144","https://openalex.org/W2108564850","https://openalex.org/W2118004237","https://openalex.org/W2124399597","https://openalex.org/W2135211394","https://openalex.org/W2142261479","https://openalex.org/W2165599843","https://openalex.org/W2168982238","https://openalex.org/W2325227998","https://openalex.org/W2405326110","https://openalex.org/W3165127907","https://openalex.org/W4231510805","https://openalex.org/W4256199362","https://openalex.org/W6606787761","https://openalex.org/W6628995792","https://openalex.org/W6639619044","https://openalex.org/W6684489972","https://openalex.org/W6713667488"],"related_works":["https://openalex.org/W2529301793","https://openalex.org/W2384121599","https://openalex.org/W2002739602","https://openalex.org/W1968042686","https://openalex.org/W2009776842","https://openalex.org/W2897881820","https://openalex.org/W2345647014","https://openalex.org/W2201192772","https://openalex.org/W3136891595","https://openalex.org/W1964819397"],"abstract_inverted_index":{"We":[0],"propose":[1],"a":[2,67,148],"probabilistic":[3],"model":[4,19,150],"that":[5,133],"generates":[6],"nod":[7,55,83,97,153],"motions":[8,135],"based":[9,88],"on":[10,89],"utterance":[11,77,157],"categories":[12,30,52,91],"estimated":[13,32,92,127],"from":[14,33,60,108,121],"the":[15,25,34,38,46,61,76,80,90,94,117,122,126,134],"speech":[16,63,114],"input.":[17],"The":[18,96],"comprises":[20],"two":[21],"main":[22],"blocks.":[23],"In":[24,79],"first":[26],"block,":[27,82],"dialogue":[28,41],"act-related":[29],"are":[31,48,72,86,100,119,141],"input":[35,62],"speech.":[36],"Considering":[37],"correlations":[39],"between":[40],"acts":[42],"and":[43,155],"head":[44],"motions,":[45],"utterances":[47],"classified":[49],"into":[50],"three":[51],"having":[53],"distinct":[54],"distributions.":[56],"Linguistic":[57],"information":[58],"extracted":[59],"is":[64],"fed":[65],"to":[66,74,125],"cluster":[68],"of":[69,147],"classifiers":[70],"which":[71],"combined":[73],"estimate":[75],"categories.":[78,128,158],"second":[81],"motion":[84,98,110],"parameters":[85,99,118],"generated":[87,136],"by":[93,137],"classifiers.":[95],"represented":[101],"as":[102],"probability":[103],"distribution":[104],"functions":[105],"(PDFs)":[106],"inferred":[107],"human":[109],"data.":[111],"By":[112],"using":[113,151],"energy":[115],"features,":[116],"sampled":[120],"PDFs":[123],"belonging":[124],"Subjective":[129],"experiment":[130],"results":[131],"indicate":[132],"our":[138],"proposed":[139],"approach":[140],"considered":[142],"more":[143],"natural":[144],"than":[145],"those":[146],"previous":[149],"fixed":[152],"shapes":[154],"hand-labeled":[156]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}