{"id":"https://openalex.org/W2918781249","doi":"https://doi.org/10.1109/tencon.2018.8650341","title":"Using Machine Learning to Predict Noise-induced Annoyance","display_name":"Using Machine Learning to Predict Noise-induced Annoyance","publication_year":2018,"publication_date":"2018-10-01","ids":{"openalex":"https://openalex.org/W2918781249","doi":"https://doi.org/10.1109/tencon.2018.8650341","mag":"2918781249"},"language":"en","primary_location":{"id":"doi:10.1109/tencon.2018.8650341","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tencon.2018.8650341","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"TENCON 2018 - 2018 IEEE Region 10 Conference","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/A5084727631","display_name":"Huan Zhou","orcid":"https://orcid.org/0000-0003-2319-4103"},"institutions":[{"id":"https://openalex.org/I3005327000","display_name":"Institute for Infocomm Research","ror":"https://ror.org/053rfa017","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3005327000","https://openalex.org/I91275662"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Huan Zhou","raw_affiliation_strings":["SEEC Institute for Infocomm Research, Singapore"],"affiliations":[{"raw_affiliation_string":"SEEC Institute for Infocomm Research, Singapore","institution_ids":["https://openalex.org/I3005327000"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076698743","display_name":"Haiyan Shu","orcid":"https://orcid.org/0000-0003-1634-4863"},"institutions":[{"id":"https://openalex.org/I3005327000","display_name":"Institute for Infocomm Research","ror":"https://ror.org/053rfa017","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3005327000","https://openalex.org/I91275662"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Haiyan Shu","raw_affiliation_strings":["SEEC Institute for Infocomm Research, Singapore"],"affiliations":[{"raw_affiliation_string":"SEEC Institute for Infocomm Research, Singapore","institution_ids":["https://openalex.org/I3005327000"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100631937","display_name":"Ying Song","orcid":"https://orcid.org/0000-0002-4685-7267"},"institutions":[{"id":"https://openalex.org/I3005327000","display_name":"Institute for Infocomm Research","ror":"https://ror.org/053rfa017","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3005327000","https://openalex.org/I91275662"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Ying Song","raw_affiliation_strings":["SEEC Institute for Infocomm Research, Singapore"],"affiliations":[{"raw_affiliation_string":"SEEC Institute for Infocomm Research, Singapore","institution_ids":["https://openalex.org/I3005327000"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5084727631"],"corresponding_institution_ids":["https://openalex.org/I3005327000"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.30694016,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"91","issue":null,"first_page":"0229","last_page":"0234"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11692","display_name":"Noise Effects and Management","score":1.0,"subfield":{"id":"https://openalex.org/subfields/3616","display_name":"Speech and Hearing"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11692","display_name":"Noise Effects and Management","score":1.0,"subfield":{"id":"https://openalex.org/subfields/3616","display_name":"Speech and Hearing"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10283","display_name":"Hearing Loss and Rehabilitation","score":0.9977999925613403,"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"}},{"id":"https://openalex.org/T10822","display_name":"Acoustic Wave Phenomena Research","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/annoyance","display_name":"Annoyance","score":0.9924970865249634},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6592183709144592},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6133406162261963},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.503614604473114},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4977109730243683},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.46806278824806213},{"id":"https://openalex.org/keywords/predictive-power","display_name":"Predictive power","score":0.46676111221313477},{"id":"https://openalex.org/keywords/predictive-modelling","display_name":"Predictive modelling","score":0.4572006165981293},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.4140913486480713},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.10140341520309448},{"id":"https://openalex.org/keywords/loudness","display_name":"Loudness","score":0.0793173611164093}],"concepts":[{"id":"https://openalex.org/C178937217","wikidata":"https://www.wikidata.org/wiki/Q256401","display_name":"Annoyance","level":3,"score":0.9924970865249634},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6592183709144592},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6133406162261963},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.503614604473114},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4977109730243683},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.46806278824806213},{"id":"https://openalex.org/C2778136018","wikidata":"https://www.wikidata.org/wiki/Q10350689","display_name":"Predictive power","level":2,"score":0.46676111221313477},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.4572006165981293},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.4140913486480713},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.10140341520309448},{"id":"https://openalex.org/C79018884","wikidata":"https://www.wikidata.org/wiki/Q622324","display_name":"Loudness","level":2,"score":0.0793173611164093},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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},{"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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tencon.2018.8650341","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tencon.2018.8650341","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"TENCON 2018 - 2018 IEEE Region 10 Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life in Land","score":0.6499999761581421,"id":"https://metadata.un.org/sdg/15"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1967997644","https://openalex.org/W2010231342","https://openalex.org/W2042851689","https://openalex.org/W2075096470","https://openalex.org/W2101234009","https://openalex.org/W2115002964","https://openalex.org/W2122637816","https://openalex.org/W2295300449","https://openalex.org/W2517387660","https://openalex.org/W2738642287","https://openalex.org/W2801215946","https://openalex.org/W4285719527","https://openalex.org/W6675354045","https://openalex.org/W6696886941","https://openalex.org/W6741730895"],"related_works":["https://openalex.org/W1972245065","https://openalex.org/W2022600629","https://openalex.org/W3014149233","https://openalex.org/W2229421325","https://openalex.org/W2097387840","https://openalex.org/W1966404274","https://openalex.org/W2613263091","https://openalex.org/W1487430266","https://openalex.org/W2082366926","https://openalex.org/W2015878819"],"abstract_inverted_index":{"One":[0],"direct":[1],"effect":[2],"of":[3,18,58,101],"ubiquitous":[4],"environmental":[5],"noises":[6],"on":[7,91,116],"humans":[8],"is":[9,12,61],"annoyance.":[10,92],"It":[11],"caused":[13],"by":[14],"a":[15,79],"complex":[16],"mix":[17],"noise":[19],"exposure":[20],"quantities,":[21],"non-acoustical":[22],"factors":[23],"and":[24,84],"potential":[25],"psycho-acoustical":[26],"factors.":[27],"which":[28],"made":[29],"it":[30],"challenging":[31],"to":[32,44,50,64,74,77,86],"establish":[33],"an":[34,52,105],"objective":[35,57],"annoyance":[36,53,106],"prediction":[37,54,80,107],"model.":[38,55],"This":[39],"paper":[40],"presents":[41],"our":[42,118],"study":[43,60],"use":[45],"state-of-the-art":[46],"machine":[47,102],"learning":[48],"algorithms":[49],"develop":[51],"The":[56],"this":[59],"threefold:":[62],"(a)":[63],"identify":[65],"relevant":[66],"audio":[67],"features":[68],"with":[69,82,98,113],"the":[70,99],"most":[71],"predictive":[72],"power":[73,100],"annoyance,":[75],"(b)":[76],"build":[78],"model":[81,108],"high-accuracy":[83],"(c)":[85],"quantify":[87],"each":[88],"feature's":[89],"influence":[90],"Our":[93],"modeling":[94],"procedure":[95],"shows":[96],"that":[97],"learning,":[103],"such":[104],"can":[109],"be":[110],"successfully":[111],"built":[112],"satisfying":[114],"performances":[115],"all":[117],"objectives.":[119]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
