{"id":"https://openalex.org/W3205277498","doi":"https://doi.org/10.1145/3478384.3478405","title":"Manipulating Causal Uncertainty in Sound Objects","display_name":"Manipulating Causal Uncertainty in Sound Objects","publication_year":2021,"publication_date":"2021-09-01","ids":{"openalex":"https://openalex.org/W3205277498","doi":"https://doi.org/10.1145/3478384.3478405","mag":"3205277498"},"language":"en","primary_location":{"id":"doi:10.1145/3478384.3478405","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3478384.3478405","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Audio Mostly 2021","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hdl.handle.net/1721.1/146308","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5084559420","display_name":"Tal Boger","orcid":"https://orcid.org/0000-0002-5476-8416"},"institutions":[{"id":"https://openalex.org/I32971472","display_name":"Yale University","ror":"https://ror.org/03v76x132","country_code":"US","type":"education","lineage":["https://openalex.org/I32971472"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tal Boger","raw_affiliation_strings":["Yale University, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yale University, United States","institution_ids":["https://openalex.org/I32971472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037474835","display_name":"Ishwarya Ananthabhotla","orcid":null},"institutions":[{"id":"https://openalex.org/I4210142372","display_name":"Human Media","ror":"https://ror.org/04072nk43","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210142372"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ishwarya Ananthabhotla","raw_affiliation_strings":["MIT Media Lab, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MIT Media Lab, United States","institution_ids":["https://openalex.org/I4210142372"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086159548","display_name":"Joseph A. Paradiso","orcid":"https://orcid.org/0000-0002-0719-7104"},"institutions":[{"id":"https://openalex.org/I4210142372","display_name":"Human Media","ror":"https://ror.org/04072nk43","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210142372"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Joseph Paradiso","raw_affiliation_strings":["MIT Media Lab, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MIT Media Lab, United States","institution_ids":["https://openalex.org/I4210142372"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.13235589,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"9","last_page":"15"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9998000264167786,"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/T11309","display_name":"Music and Audio Processing","score":0.9998000264167786,"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/T11349","display_name":"Music Technology and Sound Studies","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10788","display_name":"Neuroscience and Music Perception","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6136417984962463},{"id":"https://openalex.org/keywords/sound","display_name":"Sound (geography)","score":0.5905246138572693},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.3303336501121521},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08154758810997009}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6136417984962463},{"id":"https://openalex.org/C203718221","wikidata":"https://www.wikidata.org/wiki/Q491713","display_name":"Sound (geography)","level":2,"score":0.5905246138572693},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.3303336501121521},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08154758810997009}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3478384.3478405","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3478384.3478405","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Audio Mostly 2021","raw_type":"proceedings-article"},{"id":"pmh:oai:dspace.mit.edu:1721.1/146308","is_oa":true,"landing_page_url":"https://hdl.handle.net/1721.1/146308","pdf_url":null,"source":{"id":"https://openalex.org/S4306400425","display_name":"DSpace@MIT (Massachusetts Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I63966007","host_organization_name":"Massachusetts Institute of Technology","host_organization_lineage":["https://openalex.org/I63966007"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ACM|Audio Mostly 2021","raw_type":"Article"}],"best_oa_location":{"id":"pmh:oai:dspace.mit.edu:1721.1/146308","is_oa":true,"landing_page_url":"https://hdl.handle.net/1721.1/146308","pdf_url":null,"source":{"id":"https://openalex.org/S4306400425","display_name":"DSpace@MIT (Massachusetts Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I63966007","host_organization_name":"Massachusetts Institute of Technology","host_organization_lineage":["https://openalex.org/I63966007"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ACM|Audio Mostly 2021","raw_type":"Article"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.47999998927116394,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1980907054","https://openalex.org/W1991040868","https://openalex.org/W2005845608","https://openalex.org/W2007180964","https://openalex.org/W2015153621","https://openalex.org/W2032337854","https://openalex.org/W2081306544","https://openalex.org/W2081693101","https://openalex.org/W2099988344","https://openalex.org/W2138769072","https://openalex.org/W2150432203","https://openalex.org/W2163078148","https://openalex.org/W2219771564","https://openalex.org/W2526050071","https://openalex.org/W2585292421","https://openalex.org/W2593116425","https://openalex.org/W2901536304","https://openalex.org/W2910577860","https://openalex.org/W2950299304","https://openalex.org/W2963208136","https://openalex.org/W3210800143","https://openalex.org/W4236923591"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2909726438","https://openalex.org/W4396696052","https://openalex.org/W4402327032"],"abstract_inverted_index":{"Causal":[0],"uncertainty":[1,55,89,128],"\u2013":[2,17],"how":[3],"sure":[4],"we":[5,13,42],"are":[6,14],"in":[7],"what":[8],"produced":[9],"a":[10,19,30,50,58,66,86,117,140,146],"sound":[11,51],"that":[12,47,84,125,153],"listening":[15,118],"to":[16,28,77,106,123],"is":[18,26],"fundamental":[20],"aspect":[21],"of":[22,32,60,97],"auditory":[23],"cognition.":[24],"It":[25],"known":[27],"be":[29],"driver":[31],"affect":[33],"perception,":[34],"attention,":[35],"and":[36,111],"memory,":[37],"among":[38],"other":[39],"processes.":[40],"Here,":[41],"present":[43],"an":[44,98],"optimization":[45,74],"pipeline":[46],"systematically":[48],"manipulates":[49],"object\u2019s":[52],"intrinsic":[53],"causal":[54,88,127],"by":[56,93],"applying":[57],"set":[59],"acoustic":[61],"transforms,":[62],"such":[63],"as":[64,91],"scaling":[65],"sound\u2019s":[67,87],"pitch,":[68],"amplitude,":[69],"playback":[70],"speed,":[71],"etc.":[72],"The":[73],"estimator":[75],"attempts":[76],"produce":[78],"parameter":[79],"values":[80],"for":[81,161],"these":[82],"transforms":[83],"modify":[85],"(Hcu),":[90],"measured":[92],"the":[94,107,126],"prediction":[95,109],"confidence":[96],"audio":[99,151],"classification":[100],"neural":[101],"network,":[102],"while":[103],"minimizing":[104],"changes":[105,129],"resulting":[108,130],"labels":[110],"transform":[112],"magnitudes.":[113],"We":[114],"then":[115],"conduct":[116],"test":[119],"with":[120,136,158],"N=20":[121],"participants":[122],"confirm":[124],"from":[131],"our":[132],"proposed":[133],"procedure":[134],"align":[135],"human":[137],"perception.":[138],"Though":[139],"simple":[141],"approach,":[142],"this":[143],"work":[144],"demonstrates":[145],"first":[147],"step":[148],"towards":[149],"generative":[150],"systems":[152],"operate":[154],"along":[155],"cognitive":[156],"dimensions,":[157],"powerful":[159],"implications":[160],"user":[162],"experience":[163],"design.":[164]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}