{"id":"https://openalex.org/W2043264942","doi":"https://doi.org/10.1109/iros.2012.6385787","title":"Unified auditory functions based on Bayesian topic model","display_name":"Unified auditory functions based on Bayesian topic model","publication_year":2012,"publication_date":"2012-10-01","ids":{"openalex":"https://openalex.org/W2043264942","doi":"https://doi.org/10.1109/iros.2012.6385787","mag":"2043264942"},"language":"en","primary_location":{"id":"doi:10.1109/iros.2012.6385787","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros.2012.6385787","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE/RSJ International Conference on Intelligent Robots and Systems","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/A5005813383","display_name":"Takuma Otsuka","orcid":"https://orcid.org/0000-0001-7585-8202"},"institutions":[{"id":"https://openalex.org/I22299242","display_name":"Kyoto University","ror":"https://ror.org/02kpeqv85","country_code":"JP","type":"education","lineage":["https://openalex.org/I22299242"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Takuma Otsuka","raw_affiliation_strings":["Graduate School of Informatics, Kyoto University, Sakyo, Kyoto, Japan","Graduate School of Informatics, Kyoto University, Sakyo, 606-8501, JAPAN"],"affiliations":[{"raw_affiliation_string":"Graduate School of Informatics, Kyoto University, Sakyo, Kyoto, Japan","institution_ids":["https://openalex.org/I22299242"]},{"raw_affiliation_string":"Graduate School of Informatics, Kyoto University, Sakyo, 606-8501, JAPAN","institution_ids":["https://openalex.org/I22299242"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000004444","display_name":"Katsuhiko Ishiguro","orcid":null},"institutions":[{"id":"https://openalex.org/I2251713219","display_name":"NTT (Japan)","ror":"https://ror.org/00berct97","country_code":"JP","type":"company","lineage":["https://openalex.org/I2251713219"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Katsuhiko Ishiguro","raw_affiliation_strings":["NTT Communication Science Laboratories, NTT Corporation, Seika-chou, Kyoto, Japan","NTT Communication Science Laboratories, NTT Corporation, Seika-cho, Kyoto, 619-0237, Japan"],"affiliations":[{"raw_affiliation_string":"NTT Communication Science Laboratories, NTT Corporation, Seika-chou, Kyoto, Japan","institution_ids":["https://openalex.org/I2251713219"]},{"raw_affiliation_string":"NTT Communication Science Laboratories, NTT Corporation, Seika-cho, Kyoto, 619-0237, Japan","institution_ids":["https://openalex.org/I2251713219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007032557","display_name":"Hiroshi Sawada","orcid":"https://orcid.org/0000-0002-4831-9286"},"institutions":[{"id":"https://openalex.org/I2251713219","display_name":"NTT (Japan)","ror":"https://ror.org/00berct97","country_code":"JP","type":"company","lineage":["https://openalex.org/I2251713219"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiroshi Sawada","raw_affiliation_strings":["NTT Communication Science Laboratories, NTT Corporation, Seika-chou, Kyoto, Japan","NTT Communication Science Laboratories, NTT Corporation, Seika-cho, Kyoto, 619-0237, Japan"],"affiliations":[{"raw_affiliation_string":"NTT Communication Science Laboratories, NTT Corporation, Seika-chou, Kyoto, Japan","institution_ids":["https://openalex.org/I2251713219"]},{"raw_affiliation_string":"NTT Communication Science Laboratories, NTT Corporation, Seika-cho, Kyoto, 619-0237, Japan","institution_ids":["https://openalex.org/I2251713219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005141184","display_name":"Hiroshi G. Okuno","orcid":"https://orcid.org/0000-0002-8704-4318"},"institutions":[{"id":"https://openalex.org/I22299242","display_name":"Kyoto University","ror":"https://ror.org/02kpeqv85","country_code":"JP","type":"education","lineage":["https://openalex.org/I22299242"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiroshi G. Okuno","raw_affiliation_strings":["Graduate School of Informatics, Kyoto University, Sakyo, Kyoto, Japan","Graduate School of Informatics, Kyoto University, Sakyo, 606-8501, JAPAN"],"affiliations":[{"raw_affiliation_string":"Graduate School of Informatics, Kyoto University, Sakyo, Kyoto, Japan","institution_ids":["https://openalex.org/I22299242"]},{"raw_affiliation_string":"Graduate School of Informatics, Kyoto University, Sakyo, 606-8501, JAPAN","institution_ids":["https://openalex.org/I22299242"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5005813383"],"corresponding_institution_ids":["https://openalex.org/I22299242"],"apc_list":null,"apc_paid":null,"fwci":0.7432,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.7364963,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"19","issue":null,"first_page":"2370","last_page":"2376"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9998999834060669,"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":0.9998999834060669,"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/T11309","display_name":"Music and Audio Processing","score":0.9993000030517578,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9968000054359436,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7749451398849487},{"id":"https://openalex.org/keywords/source-separation","display_name":"Source separation","score":0.712768018245697},{"id":"https://openalex.org/keywords/reverberation","display_name":"Reverberation","score":0.6721373200416565},{"id":"https://openalex.org/keywords/gibbs-sampling","display_name":"Gibbs sampling","score":0.6551811099052429},{"id":"https://openalex.org/keywords/separation","display_name":"Separation (statistics)","score":0.6194353103637695},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.5852428078651428},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5486961603164673},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.532389760017395},{"id":"https://openalex.org/keywords/acoustic-source-localization","display_name":"Acoustic source localization","score":0.5088439583778381},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.5026078224182129},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42885908484458923},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3285997211933136},{"id":"https://openalex.org/keywords/sound","display_name":"Sound (geography)","score":0.2734616696834564},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2457006573677063},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12690576910972595},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.11127763986587524}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7749451398849487},{"id":"https://openalex.org/C2776864781","wikidata":"https://www.wikidata.org/wiki/Q52617913","display_name":"Source separation","level":2,"score":0.712768018245697},{"id":"https://openalex.org/C95851461","wikidata":"https://www.wikidata.org/wiki/Q468809","display_name":"Reverberation","level":2,"score":0.6721373200416565},{"id":"https://openalex.org/C158424031","wikidata":"https://www.wikidata.org/wiki/Q1191905","display_name":"Gibbs sampling","level":3,"score":0.6551811099052429},{"id":"https://openalex.org/C2776061190","wikidata":"https://www.wikidata.org/wiki/Q7451805","display_name":"Separation (statistics)","level":2,"score":0.6194353103637695},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.5852428078651428},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5486961603164673},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.532389760017395},{"id":"https://openalex.org/C93240960","wikidata":"https://www.wikidata.org/wiki/Q217270","display_name":"Acoustic source localization","level":3,"score":0.5088439583778381},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.5026078224182129},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42885908484458923},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3285997211933136},{"id":"https://openalex.org/C203718221","wikidata":"https://www.wikidata.org/wiki/Q491713","display_name":"Sound (geography)","level":2,"score":0.2734616696834564},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2457006573677063},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12690576910972595},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.11127763986587524},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"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":2,"locations":[{"id":"doi:10.1109/iros.2012.6385787","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros.2012.6385787","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE/RSJ International Conference on Intelligent Robots and Systems","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.304.3945","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.304.3945","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://winnie.kuis.kyoto-u.ac.jp/members/okuno/Public/IROS2012-Otsuka.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":29,"referenced_works":["https://openalex.org/W1880262756","https://openalex.org/W1972309304","https://openalex.org/W1974647903","https://openalex.org/W2001082470","https://openalex.org/W2031583051","https://openalex.org/W2069432516","https://openalex.org/W2072548008","https://openalex.org/W2091797506","https://openalex.org/W2096855653","https://openalex.org/W2100335648","https://openalex.org/W2111879728","https://openalex.org/W2120908038","https://openalex.org/W2121065047","https://openalex.org/W2121348175","https://openalex.org/W2127851351","https://openalex.org/W2130642871","https://openalex.org/W2138130910","https://openalex.org/W2143027228","https://openalex.org/W2153999007","https://openalex.org/W2158266063","https://openalex.org/W2168856390","https://openalex.org/W2208583353","https://openalex.org/W2336416123","https://openalex.org/W2902063656","https://openalex.org/W4237791300","https://openalex.org/W6674864272","https://openalex.org/W6677830555","https://openalex.org/W6678139903","https://openalex.org/W6688392010"],"related_works":["https://openalex.org/W1517763961","https://openalex.org/W1608003482","https://openalex.org/W3122927555","https://openalex.org/W27102384","https://openalex.org/W4378501308","https://openalex.org/W3161345512","https://openalex.org/W2903040254","https://openalex.org/W1990075812","https://openalex.org/W2952528636","https://openalex.org/W4243703723"],"abstract_inverted_index":{"Existing":[0],"auditory":[1],"functions":[2],"for":[3,40,53],"robots":[4],"such":[5],"as":[6,65],"sound":[7,54,105],"source":[8,55,106],"localization":[9,56,74,116],"and":[10,37,57,75,114],"separation":[11,58,76,107],"have":[12],"been":[13],"implemented":[14],"in":[15,28,110],"a":[16,35,50,66,78],"cascaded":[17],"framework":[18,52],"whose":[19],"overall":[20],"performance":[21,117],"may":[22],"be":[23],"degraded":[24],"by":[25,84],"any":[26],"failure":[27],"its":[29],"subsystems.":[30],"These":[31],"approaches":[32],"often":[33],"require":[34],"careful":[36],"environment-dependent":[38],"tuning":[39],"each":[41],"subsystems":[42],"to":[43,119],"achieve":[44],"better":[45],"performance.":[46],"This":[47,70],"paper":[48],"presents":[49],"unified":[51],"where":[59],"the":[60,111,122],"whole":[61],"system":[62],"is":[63],"integrated":[64],"Bayesian":[67],"topic":[68],"model.":[69],"method":[71,102],"improves":[72],"both":[73],"with":[77],"common":[79],"configuration":[80],"under":[81],"various":[82],"environments":[83,94],"iterative":[85],"inference":[86],"using":[87],"Gibbs":[88],"sampling.":[89],"Experimental":[90],"results":[91],"from":[92],"three":[93],"of":[95,121],"different":[96],"reverberation":[97],"times":[98],"confirm":[99],"that":[100,120],"our":[101],"outperforms":[103],"state-of-the-art":[104],"methods,":[108],"especially":[109],"reverberant":[112],"environments,":[113],"shows":[115],"comparable":[118],"existing":[123],"robot":[124],"audition":[125],"system.":[126]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}