{"id":"https://openalex.org/W3146411767","doi":"https://doi.org/10.23919/eusipco54536.2021.9616206","title":"Audio classification of the content of food containers and drinking glasses","display_name":"Audio classification of the content of food containers and drinking glasses","publication_year":2021,"publication_date":"2021-08-23","ids":{"openalex":"https://openalex.org/W3146411767","doi":"https://doi.org/10.23919/eusipco54536.2021.9616206","mag":"3146411767"},"language":"en","primary_location":{"id":"doi:10.23919/eusipco54536.2021.9616206","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco54536.2021.9616206","pdf_url":null,"source":{"id":"https://openalex.org/S4363607854","display_name":"2021 29th European Signal Processing Conference (EUSIPCO)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 29th European Signal Processing Conference (EUSIPCO)","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/A5031388853","display_name":"Santiago Donaher","orcid":"https://orcid.org/0000-0002-8863-7211"},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Santiago Donaher","raw_affiliation_strings":["Centre for Intelligent Sensing, Queen Mary University of London, London, UK"],"affiliations":[{"raw_affiliation_string":"Centre for Intelligent Sensing, Queen Mary University of London, London, UK","institution_ids":["https://openalex.org/I166337079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078453520","display_name":"Alessio Xompero","orcid":"https://orcid.org/0000-0002-8227-8529"},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Alessio Xompero","raw_affiliation_strings":["Centre for Intelligent Sensing, Queen Mary University of London, London, UK"],"affiliations":[{"raw_affiliation_string":"Centre for Intelligent Sensing, Queen Mary University of London, London, UK","institution_ids":["https://openalex.org/I166337079"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004087827","display_name":"Andrea Cavallaro","orcid":"https://orcid.org/0000-0001-5086-7858"},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Andrea Cavallaro","raw_affiliation_strings":["Centre for Intelligent Sensing, Queen Mary University of London, London, UK"],"affiliations":[{"raw_affiliation_string":"Centre for Intelligent Sensing, Queen Mary University of London, London, UK","institution_ids":["https://openalex.org/I166337079"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5031388853"],"corresponding_institution_ids":["https://openalex.org/I166337079"],"apc_list":null,"apc_paid":null,"fwci":1.2042,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.83948959,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"591","last_page":"595"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9994999766349792,"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":0.9994999766349792,"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/T10860","display_name":"Speech and Audio Processing","score":0.9901999831199646,"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/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9835000038146973,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6949540376663208},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.670888364315033},{"id":"https://openalex.org/keywords/container","display_name":"Container (type theory)","score":0.5692391395568848},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4977302849292755},{"id":"https://openalex.org/keywords/content","display_name":"Content (measure theory)","score":0.44656071066856384},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.44652417302131653},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40580514073371887},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3471892476081848},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3205869495868683},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2386745810508728},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09276247024536133}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6949540376663208},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.670888364315033},{"id":"https://openalex.org/C2781018962","wikidata":"https://www.wikidata.org/wiki/Q5164884","display_name":"Container (type theory)","level":2,"score":0.5692391395568848},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4977302849292755},{"id":"https://openalex.org/C2778152352","wikidata":"https://www.wikidata.org/wiki/Q5165061","display_name":"Content (measure theory)","level":2,"score":0.44656071066856384},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.44652417302131653},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40580514073371887},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3471892476081848},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3205869495868683},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2386745810508728},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09276247024536133},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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":1,"locations":[{"id":"doi:10.23919/eusipco54536.2021.9616206","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco54536.2021.9616206","pdf_url":null,"source":{"id":"https://openalex.org/S4363607854","display_name":"2021 29th European Signal Processing Conference (EUSIPCO)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 29th European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5628197298","display_name":null,"funder_award_id":"EP/S031715/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"},{"id":"https://openalex.org/F4320338463","display_name":"CHIST-ERA","ror":"https://ror.org/00rbzpz17"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1686810756","https://openalex.org/W2095705004","https://openalex.org/W2109300305","https://openalex.org/W2117539524","https://openalex.org/W2119821739","https://openalex.org/W2122111042","https://openalex.org/W2191779130","https://openalex.org/W2194775991","https://openalex.org/W2569141289","https://openalex.org/W2899466959","https://openalex.org/W2911964244","https://openalex.org/W2918569444","https://openalex.org/W2964121744","https://openalex.org/W3001418026","https://openalex.org/W3004088848","https://openalex.org/W3006978142","https://openalex.org/W3089045049","https://openalex.org/W3132357664","https://openalex.org/W3132496303","https://openalex.org/W3132647604","https://openalex.org/W3134505513","https://openalex.org/W3213787354","https://openalex.org/W4239510810","https://openalex.org/W6631190155","https://openalex.org/W6637373629","https://openalex.org/W6674330103","https://openalex.org/W6676786638","https://openalex.org/W6756064903","https://openalex.org/W6925342505"],"related_works":["https://openalex.org/W2367301169","https://openalex.org/W2352134912","https://openalex.org/W2001079144","https://openalex.org/W4393477817","https://openalex.org/W2048054615","https://openalex.org/W2974221847","https://openalex.org/W2480624181","https://openalex.org/W2581710029","https://openalex.org/W2055230095","https://openalex.org/W3146804403"],"abstract_inverted_index":{"Food":[0],"containers,":[1],"drinking":[2],"glasses":[3],"and":[4,17,36,60,74,79,81,86,108,125,139,142,150],"cups":[5],"handled":[6],"by":[7,96],"a":[8,27,41,97],"person":[9,98],"generate":[10],"sounds":[11],"that":[12,118,145],"vary":[13],"with":[14,99],"the":[15,34,49,52,65,68,93,100,106,119,134,147],"type":[16,35,109,151],"amount":[18,37,107,149],"of":[19,33,38,51,67,84,110],"their":[20],"content.":[21],"In":[22],"this":[23],"paper,":[24],"we":[25],"propose":[26],"new":[28],"model":[29,45,121],"for":[30],"sound-based":[31],"classification":[32],"content":[39,61,111,148],"in":[40],"container.":[42,101],"The":[43,89,102],"proposed":[44,120],"is":[46],"based":[47],"on":[48,133],"decomposition":[50],"problem":[53],"into":[54],"two":[55,76],"steps,":[56],"namely":[57],"action":[58,94],"recognition":[59],"classification.":[62],"We":[63],"use":[64],"scenario":[66],"recent":[69],"CORSMAL":[70],"Containers":[71],"Manipulation":[72],"dataset":[73],"consider":[75],"actions":[77],"(shaking":[78],"pouring),":[80],"seven":[82],"combinations":[83],"material":[85],"filling":[87],"level.":[88],"first":[90],"step":[91,104],"identifies":[92],"performed":[95],"second":[103],"determines":[105],"using":[112],"an":[113],"action-specific":[114],"classifier.":[115],"Experiments":[116],"show":[117],"achieves":[122],"76.02,":[123],"78.24,":[124],"41.89":[126],"weighted":[127],"average":[128],"<tex":[129],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[130],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$F_{1}$</tex>":[131],"score":[132],"three":[135],"test":[136],"sets,":[137],"respectively,":[138],"outperforms":[140],"baselines":[141],"existing":[143],"approaches":[144],"classify":[146],"either":[152],"independently":[153],"or":[154],"jointly.":[155]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
