{"id":"https://openalex.org/W2159620372","doi":"https://doi.org/10.1109/tasl.2011.2129509","title":"Preference Music Ratings Prediction Using Tokenization and Minimum Classification Error Training","display_name":"Preference Music Ratings Prediction Using Tokenization and Minimum Classification Error Training","publication_year":2011,"publication_date":"2011-03-17","ids":{"openalex":"https://openalex.org/W2159620372","doi":"https://doi.org/10.1109/tasl.2011.2129509","mag":"2159620372"},"language":"en","primary_location":{"id":"doi:10.1109/tasl.2011.2129509","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tasl.2011.2129509","pdf_url":null,"source":{"id":"https://openalex.org/S199497470","display_name":"IEEE Transactions on Audio Speech and Language Processing","issn_l":"1558-7916","issn":["1558-7916","1558-7924"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Audio, Speech, and Language Processing","raw_type":"journal-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/A5004463431","display_name":"Jeremy Reed","orcid":"https://orcid.org/0000-0002-7499-5747"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"J. Reed","raw_affiliation_strings":["School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066868860","display_name":"Chin\u2010Hui Lee","orcid":"https://orcid.org/0000-0002-1892-2551"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chin-Hui Lee","raw_affiliation_strings":["School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5004463431"],"corresponding_institution_ids":["https://openalex.org/I130701444"],"apc_list":null,"apc_paid":null,"fwci":1.5311,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.84130681,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"19","issue":"8","first_page":"2294","last_page":"2303"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":1.0,"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":1.0,"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":0.9983999729156494,"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":0.9955000281333923,"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":0.6764686107635498},{"id":"https://openalex.org/keywords/ordinal-regression","display_name":"Ordinal regression","score":0.5918492674827576},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.5848219394683838},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5411876440048218},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.5011241436004639},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.45631465315818787},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4205559194087982},{"id":"https://openalex.org/keywords/piecewise","display_name":"Piecewise","score":0.4192078709602356},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4167368412017822},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33598098158836365},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23921552300453186}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6764686107635498},{"id":"https://openalex.org/C110313322","wikidata":"https://www.wikidata.org/wiki/Q7100793","display_name":"Ordinal regression","level":2,"score":0.5918492674827576},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.5848219394683838},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5411876440048218},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.5011241436004639},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.45631465315818787},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4205559194087982},{"id":"https://openalex.org/C164660894","wikidata":"https://www.wikidata.org/wiki/Q2037833","display_name":"Piecewise","level":2,"score":0.4192078709602356},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4167368412017822},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33598098158836365},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23921552300453186},{"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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tasl.2011.2129509","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tasl.2011.2129509","pdf_url":null,"source":{"id":"https://openalex.org/S199497470","display_name":"IEEE Transactions on Audio Speech and Language Processing","issn_l":"1558-7916","issn":["1558-7916","1558-7924"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Audio, Speech, and Language Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.7099999785423279}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W38176230","https://openalex.org/W56995320","https://openalex.org/W149581298","https://openalex.org/W160307715","https://openalex.org/W161183367","https://openalex.org/W216468625","https://openalex.org/W1503560067","https://openalex.org/W1508121828","https://openalex.org/W1950396994","https://openalex.org/W2007414372","https://openalex.org/W2013477326","https://openalex.org/W2023508744","https://openalex.org/W2027086767","https://openalex.org/W2048174296","https://openalex.org/W2060862437","https://openalex.org/W2069870183","https://openalex.org/W2096637354","https://openalex.org/W2100753110","https://openalex.org/W2110467295","https://openalex.org/W2118714763","https://openalex.org/W2120374760","https://openalex.org/W2121310556","https://openalex.org/W2122111042","https://openalex.org/W2125838338","https://openalex.org/W2133824856","https://openalex.org/W2148600927","https://openalex.org/W2152324136","https://openalex.org/W2155045454","https://openalex.org/W2156909104","https://openalex.org/W2158289097","https://openalex.org/W2158515176","https://openalex.org/W2159561775","https://openalex.org/W2161138567","https://openalex.org/W2161585384","https://openalex.org/W2165320163","https://openalex.org/W2165880886","https://openalex.org/W2171541062","https://openalex.org/W2171770233","https://openalex.org/W2172287020","https://openalex.org/W2341535507","https://openalex.org/W2407889405","https://openalex.org/W2988119488","https://openalex.org/W4252684946","https://openalex.org/W6601575727","https://openalex.org/W6606065192","https://openalex.org/W6606424123","https://openalex.org/W6606613475","https://openalex.org/W6608443260","https://openalex.org/W6630180946","https://openalex.org/W6630222583","https://openalex.org/W6675290664","https://openalex.org/W6684816541","https://openalex.org/W6685221346","https://openalex.org/W6703949738","https://openalex.org/W6714046625"],"related_works":["https://openalex.org/W2965546495","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W4205463238","https://openalex.org/W259157601","https://openalex.org/W2761785940","https://openalex.org/W2110523656","https://openalex.org/W1482209366","https://openalex.org/W2521627374","https://openalex.org/W2981954115"],"abstract_inverted_index":{"In":[0],"order":[1],"to":[2,79,98,124,140,155,164],"address":[3],"two":[4,144],"main":[5],"limitations":[6],"of":[7,27,42,53,67,84],"current":[8],"content-based":[9],"music":[10,18,47,69,130],"recommendation":[11,19],"approaches,":[12],"an":[13,43,62],"ordinal":[14,95],"regression":[15,96],"algorithm":[16,108,137,160],"for":[17],"that":[20,29,119,149,161],"incorporates":[21],"dynamic":[22],"information":[23],"is":[24,48,103,138,153],"presented.":[25],"Instead":[26],"assuming":[28],"local":[30],"spectral":[31],"features":[32],"within":[33],"a":[34,51,81,158],"song":[35],"are":[36,59,87],"identically":[37],"and":[38],"independently":[39],"distributed":[40],"examples":[41],"underlying":[44],"probability":[45],"density,":[46],"characterized":[49],"by":[50],"vocabulary":[52],"acoustic":[54],"segment":[55],"models":[56],"(ASMs),":[57],"which":[58],"found":[60],"with":[61],"unsupervised":[63],"process.":[64],"Further,":[65,132],"instead":[66],"classifying":[68],"based":[70,89,104],"on":[71,90,105],"subjective":[72],"classes,":[73],"such":[74],"as":[75,110],"genre,":[76],"or":[77],"trying":[78],"find":[80],"universal":[82],"notion":[83],"similarity,":[85],"songs":[86],"classified":[88],"personal":[91],"preference":[92,135],"ratings.":[93],"The":[94],"approach":[97],"perform":[99],"the":[100,106,133,150],"ratings":[101,136],"prediction":[102],"discriminative-training":[107],"known":[109],"minimum":[111],"classification":[112],"error":[113],"(MCE)":[114],"training.":[115],"Experimental":[116],"results":[117],"indicate":[118],"improved":[120],"temporal":[121],"modeling":[122],"leads":[123],"superior":[125,142,151],"performance":[126,152],"over":[127,143],"standard":[128],"spectral-based":[129],"representations.":[131],"MCE-based":[134],"shown":[139],"be":[141],"other":[145],"systems.":[146],"Analysis":[147],"demonstrates":[148,162],"due":[154],"MCE":[156],"being":[157],"non-conservative":[159],"immunity":[163],"outliers.":[165]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
