{"id":"https://openalex.org/W7154937282","doi":"https://doi.org/10.1109/access.2026.3685331","title":"On the Cross-Container Recognition of Liquid Types From Pouring Sounds","display_name":"On the Cross-Container Recognition of Liquid Types From Pouring Sounds","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7154937282","doi":"https://doi.org/10.1109/access.2026.3685331"},"language":"en","primary_location":{"id":"doi:10.1109/access.2026.3685331","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2026.3685331","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2026.3685331","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5010107824","display_name":"Van-Thuan Tran","orcid":"https://orcid.org/0000-0002-3197-679X"},"institutions":[{"id":"https://openalex.org/I118292597","display_name":"National Taipei University of Technology","ror":"https://ror.org/00cn92c09","country_code":"TW","type":"education","lineage":["https://openalex.org/I118292597"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Van-Thuan Tran","raw_affiliation_strings":["Department of Electronic Engineering, National Taipei University of Technology, Taipei, Taiwan"],"raw_orcid":"https://orcid.org/0000-0002-3197-679X","affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, National Taipei University of Technology, Taipei, Taiwan","institution_ids":["https://openalex.org/I118292597"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134067306","display_name":"Chin-Chieh Chang","orcid":null},"institutions":[{"id":"https://openalex.org/I118292597","display_name":"National Taipei University of Technology","ror":"https://ror.org/00cn92c09","country_code":"TW","type":"education","lineage":["https://openalex.org/I118292597"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chin-Chieh Chang","raw_affiliation_strings":["Department of Electronic Engineering, National Taipei University of Technology, Taipei, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, National Taipei University of Technology, Taipei, Taiwan","institution_ids":["https://openalex.org/I118292597"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070107141","display_name":"Jung-Tsung Kuo","orcid":null},"institutions":[{"id":"https://openalex.org/I118292597","display_name":"National Taipei University of Technology","ror":"https://ror.org/00cn92c09","country_code":"TW","type":"education","lineage":["https://openalex.org/I118292597"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Jung-Tsung Kuo","raw_affiliation_strings":["Department of Electronic Engineering, National Taipei University of Technology, Taipei, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, National Taipei University of Technology, Taipei, Taiwan","institution_ids":["https://openalex.org/I118292597"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134044367","display_name":"Yu-Xin Tien","orcid":null},"institutions":[{"id":"https://openalex.org/I118292597","display_name":"National Taipei University of Technology","ror":"https://ror.org/00cn92c09","country_code":"TW","type":"education","lineage":["https://openalex.org/I118292597"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yu-Xin Tien","raw_affiliation_strings":["Artificial Intelligence Technology Program, National Taipei University of Technology, Taipei, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Artificial Intelligence Technology Program, National Taipei University of Technology, Taipei, Taiwan","institution_ids":["https://openalex.org/I118292597"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020303183","display_name":"Wei-Ho Tsai","orcid":"https://orcid.org/0000-0002-0867-7951"},"institutions":[{"id":"https://openalex.org/I118292597","display_name":"National Taipei University of Technology","ror":"https://ror.org/00cn92c09","country_code":"TW","type":"education","lineage":["https://openalex.org/I118292597"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Wei-Ho Tsai","raw_affiliation_strings":["Department of Electronic Engineering, National Taipei University of Technology, Taipei, Taiwan"],"raw_orcid":"https://orcid.org/0000-0002-0867-7951","affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, National Taipei University of Technology, Taipei, Taiwan","institution_ids":["https://openalex.org/I118292597"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5010107824"],"corresponding_institution_ids":["https://openalex.org/I118292597"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.8176565,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"14","issue":null,"first_page":"61474","last_page":"61489"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.0754999965429306,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.0754999965429306,"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/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.04529999941587448,"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/T11349","display_name":"Music Technology and Sound Studies","score":0.04129999876022339,"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/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3310000002384186},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.30469998717308044},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.2563000023365021},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.25270000100135803}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6367999911308289},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46389999985694885},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.44670000672340393},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3310000002384186},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3215000033378601},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.30469998717308044},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.2563000023365021},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.25270000100135803},{"id":"https://openalex.org/C199639397","wikidata":"https://www.wikidata.org/wiki/Q1788588","display_name":"Engineering drawing","level":1,"score":0.24199999868869781},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.22450000047683716}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2026.3685331","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2026.3685331","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:1a7f4b9659de435fb9f2f14e6f1ee0df","is_oa":true,"landing_page_url":"https://doaj.org/article/1a7f4b9659de435fb9f2f14e6f1ee0df","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 14, Pp 61474-61489 (2026)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2026.3685331","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2026.3685331","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8140079021","display_name":null,"funder_award_id":"NSTC 114-2221-E-027-039","funder_id":"https://openalex.org/F4320331164","funder_display_name":"National Science and Technology Council"}],"funders":[{"id":"https://openalex.org/F4320331164","display_name":"National Science and Technology Council","ror":"https://ror.org/00wnb9798"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Identifying":[0],"liquid":[1,22,66,241],"types":[2],"through":[3,231],"acoustic":[4,21],"signatures":[5],"offers":[6],"promising":[7,38],"opportunities":[8],"for":[9,96,238],"food":[10],"service":[11],"quality":[12],"control,":[13],"dietary":[14],"monitoring,":[15],"and":[16,93,99,150,180,209],"assistive":[17],"technologies.":[18],"Unlike":[19],"prior":[20],"sensing":[23],"approaches":[24],"that":[25,117,226],"rely":[26],"on":[27,124,132,145],"active":[28],"signal":[29],"transmission":[30],"or":[31],"specialized":[32],"hardware,":[33],"this":[34],"work":[35],"addresses":[36],"a":[37,48,70,80],"alternative:":[39],"classifying":[40],"liquids":[41],"from":[42],"passive":[43,64],"pouring":[44],"sounds":[45],"using":[46],"only":[47,128],"consumer":[49],"microphone":[50],"across":[51,103,185,245],"diverse":[52],"container":[53,247],"types.":[54,248],"The":[55,110],"main":[56],"contributions":[57,175],"are:":[58],"(1)":[59],"the":[60,85,214],"formal":[61],"framing":[62],"of":[63,176],"Acoustic-based":[65],"recognition":[67,192],"(ALR)":[68],"as":[69],"domain":[71],"generalization":[72,120],"problem":[73],"with":[74,90,113,135,157,170,195],"systematic":[75],"leave-one-container-out":[76],"(LOCO)":[77],"evaluation;":[78],"(2)":[79],"multi-task":[81,158],"learning":[82,159,179],"framework":[83],"combining":[84],"Audio":[86],"Spectrogram":[87],"Transformer":[88],"(AST)":[89],"supervised":[91,177],"contrastive":[92,178],"adversarial":[94,181],"training":[95,168],"container-invariant":[97,227],"recognition;":[98],"(3)":[100],"comprehensive":[101],"evaluation":[102,111,144],"seven":[104,146],"containers":[105,126,147],"spanning":[106],"three":[107],"material":[108],"categories.":[109],"begins":[112],"train-on-one-container-only":[114],"(TOCO)":[115],"experiments":[116],"expose":[118],"severe":[119],"challenges:":[121],"models":[122],"trained":[123],"single":[125],"achieve":[127,212],"59.27%":[129],"mean":[130,162],"accuracy":[131],"unseen":[133],"containers,":[134],"AST":[136,156,167],"outperforming":[137],"CNN":[138],"baselines":[139],"(VGGish,":[140],"ResNet-50).":[141],"Under":[142],"LOCO":[143],"(ceramic,":[148],"glass,":[149],"paper":[151],"cups,":[152],"170-390ml),":[153],"our":[154],"proposed":[155],"achieves":[160],"95.02%":[161],"accuracy,":[163,204],"significantly":[164],"exceeding":[165,217],"baseline":[166,218],"(85.80%),":[169],"ablation":[171],"studies":[172],"revealing":[173],"complementary":[174],"training.":[182],"Performance":[183],"analysis":[184],"varying":[186],"segment":[187],"durations":[188],"(2-10":[189],"seconds)":[190],"reveals":[191],"capability":[193],"even":[194],"severely":[196],"constrained":[197],"temporal":[198],"information:":[199],"5-second":[200],"segments":[201,206,211],"attain":[202],"92.28%":[203],"3-second":[205],"reach":[207],"90.14%,":[208],"2-second":[210],"88.45%,":[213],"latter":[215],"still":[216],"performance":[219],"at":[220],"full":[221],"duration.":[222],"These":[223],"results":[224],"validate":[225],"ALR":[228],"is":[229],"attainable":[230],"domain-invariant":[232],"representation":[233],"learning,":[234],"enabling":[235],"future":[236],"development":[237],"practical":[239],"non-contact":[240],"identification":[242],"systems":[243],"deployable":[244],"arbitrary":[246]},"counts_by_year":[],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2026-04-21T00:00:00"}
