{"id":"https://openalex.org/W2533389635","doi":"https://doi.org/10.1109/icawst.2012.6469597","title":"Affective perception of Musical Television","display_name":"Affective perception of Musical Television","publication_year":2012,"publication_date":"2012-08-01","ids":{"openalex":"https://openalex.org/W2533389635","doi":"https://doi.org/10.1109/icawst.2012.6469597","mag":"2533389635"},"language":"en","primary_location":{"id":"doi:10.1109/icawst.2012.6469597","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icawst.2012.6469597","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"4th International Conference on Awareness Science and Technology","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/A5075750194","display_name":"Oscal T.\u2010C. Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I148099254","display_name":"National Chung Cheng University","ror":"https://ror.org/0028v3876","country_code":"TW","type":"education","lineage":["https://openalex.org/I148099254"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Oscal T.-C. Chen","raw_affiliation_strings":["Department of Electrical Engineering, National Chung Cheng University, Chiayi, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, National Chung Cheng University, Chiayi, Taiwan","institution_ids":["https://openalex.org/I148099254"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026949099","display_name":"Jhen Jhan Gu","orcid":null},"institutions":[{"id":"https://openalex.org/I148099254","display_name":"National Chung Cheng University","ror":"https://ror.org/0028v3876","country_code":"TW","type":"education","lineage":["https://openalex.org/I148099254"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Jhen Jhan Gu","raw_affiliation_strings":["Department of Electrical Engineering, National Chung Cheng University, Chiayi, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, National Chung Cheng University, Chiayi, Taiwan","institution_ids":["https://openalex.org/I148099254"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075513638","display_name":"Chih-Chang Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I148099254","display_name":"National Chung Cheng University","ror":"https://ror.org/0028v3876","country_code":"TW","type":"education","lineage":["https://openalex.org/I148099254"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chih-Chang Chen","raw_affiliation_strings":["Department of Electrical Engineering, National Chung Cheng University, Chiayi, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, National Chung Cheng University, Chiayi, Taiwan","institution_ids":["https://openalex.org/I148099254"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017165342","display_name":"Ping-Tsung Lu","orcid":null},"institutions":[{"id":"https://openalex.org/I148099254","display_name":"National Chung Cheng University","ror":"https://ror.org/0028v3876","country_code":"TW","type":"education","lineage":["https://openalex.org/I148099254"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Ping-Tsung Lu","raw_affiliation_strings":["Department of Electrical Engineering, National Chung Cheng University, Chiayi, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, National Chung Cheng University, Chiayi, Taiwan","institution_ids":["https://openalex.org/I148099254"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5075750194"],"corresponding_institution_ids":["https://openalex.org/I148099254"],"apc_list":null,"apc_paid":null,"fwci":0.2448,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.61217537,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"104","last_page":"108"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9955000281333923,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.940500020980835,"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":0.681853175163269},{"id":"https://openalex.org/keywords/centroid","display_name":"Centroid","score":0.6772629022598267},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5980639457702637},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5509129166603088},{"id":"https://openalex.org/keywords/zero-crossing","display_name":"Zero crossing","score":0.5216065645217896},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5082587599754333},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5013871192932129},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4855306148529053},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.4547833502292633},{"id":"https://openalex.org/keywords/fast-fourier-transform","display_name":"Fast Fourier transform","score":0.43354251980781555},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.11982196569442749},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.07796889543533325},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07568737864494324}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.681853175163269},{"id":"https://openalex.org/C146599234","wikidata":"https://www.wikidata.org/wiki/Q511093","display_name":"Centroid","level":2,"score":0.6772629022598267},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5980639457702637},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5509129166603088},{"id":"https://openalex.org/C120415902","wikidata":"https://www.wikidata.org/wiki/Q462383","display_name":"Zero crossing","level":3,"score":0.5216065645217896},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5082587599754333},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5013871192932129},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4855306148529053},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.4547833502292633},{"id":"https://openalex.org/C75172450","wikidata":"https://www.wikidata.org/wiki/Q623950","display_name":"Fast Fourier transform","level":2,"score":0.43354251980781555},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.11982196569442749},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.07796889543533325},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07568737864494324},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icawst.2012.6469597","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icawst.2012.6469597","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"4th International Conference on Awareness Science and Technology","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1965611501","https://openalex.org/W2068680500","https://openalex.org/W2115289180","https://openalex.org/W2121407761","https://openalex.org/W2133367748","https://openalex.org/W2142480614","https://openalex.org/W2149494287","https://openalex.org/W2165154480","https://openalex.org/W2171848217","https://openalex.org/W6680068466"],"related_works":["https://openalex.org/W2381926679","https://openalex.org/W2007009951","https://openalex.org/W2082644203","https://openalex.org/W2350539780","https://openalex.org/W3165040664","https://openalex.org/W3122652148","https://openalex.org/W1583866266","https://openalex.org/W4242386713","https://openalex.org/W115238348","https://openalex.org/W2151191523"],"abstract_inverted_index":{"In":[0],"this":[1],"work,":[2],"a":[3,123],"typical":[4],"hierarchical":[5],"Support":[6],"Vector":[7],"Machine":[8],"(SVM)":[9],"classifier":[10],"structure":[11],"with":[12],"three":[13],"stages":[14],"is":[15],"adopted":[16],"to":[17,88,94,131],"identify":[18],"6":[19],"affective":[20,118],"modes":[21],"of":[22,57,65,77,127],"happy,":[23],"angry,":[24],"excited,":[25],"nervous,":[26],"sad":[27],"and":[28,38,63,68,74,85,105],"calm":[29],"from":[30,134],"Musical":[31],"TeleVision":[32],"(MTV)":[33],"sequences,":[34],"which":[35],"comprise":[36],"audio":[37,45,139],"video":[39],"signals.":[40],"To":[41],"comprehend":[42],"emotional":[43],"modes,":[44],"features":[46,70,102,140],"including":[47,71],"the":[48,90,116,132,135,142,148],"spectral":[49,51],"centroid,":[50],"spread,":[52],"zero":[53,58],"crossing":[54,59],"rate,":[55],"peak":[56],"rates,":[60],"duration,":[61],"tempo":[62],"variance":[64],"FFT":[66],"coefficients,":[67],"visual":[69],"color":[72],"temperature":[73],"standard":[75],"deviations":[76],"motion":[78],"vectors":[79],"are":[80,83,103],"used.":[81],"They":[82],"extracted":[84],"jointly":[86],"employed":[87],"increase":[89],"recognition":[91,119,125,149],"accuracy":[92],"according":[93],"their":[95],"physical":[96],"characteristics":[97],"on":[98],"emotions.":[99],"Particularly,":[100],"adequate":[101],"addressed":[104],"investigated":[106],"in":[107],"each":[108],"classification":[109],"stage.":[110],"The":[111],"experimental":[112],"results":[113,133],"demonstrate":[114],"that":[115],"proposed":[117,143],"scheme":[120,137,144],"can":[121,145],"achieve":[122],"fair":[124],"rate":[126],"73.3%.":[128],"As":[129],"compared":[130],"one-stage":[136],"using":[138],"only,":[141],"greatly":[146],"enhance":[147],"accuracy.":[150]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}