{"id":"https://openalex.org/W174728840","doi":"https://doi.org/10.21437/interspeech.2008-246","title":"Balancing spoken content adaptation and unit length in the recognition of emotion and interest","display_name":"Balancing spoken content adaptation and unit length in the recognition of emotion and interest","publication_year":2008,"publication_date":"2008-09-22","ids":{"openalex":"https://openalex.org/W174728840","doi":"https://doi.org/10.21437/interspeech.2008-246","mag":"174728840"},"language":"en","primary_location":{"id":"doi:10.21437/interspeech.2008-246","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2008-246","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2008","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://opus.bibliothek.uni-augsburg.de/opus4/files/76685/vlasenko08_interspeech.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5087200921","display_name":"Bogdan Vlasenko","orcid":null},"institutions":[{"id":"https://openalex.org/I95793202","display_name":"Otto-von-Guericke-Universit\u00e4t Magdeburg","ror":"https://ror.org/00ggpsq73","country_code":"DE","type":"education","lineage":["https://openalex.org/I95793202"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Bogdan Vlasenko","raw_affiliation_strings":["Otto-von-Guericke University Magdeburg, Magdeburg, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Otto-von-Guericke University Magdeburg, Magdeburg, Germany","institution_ids":["https://openalex.org/I95793202"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043060302","display_name":"Bj\u00f6rn W. Schuller","orcid":"https://orcid.org/0000-0002-6478-8699"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Bj\u00f6rn Schuller","raw_affiliation_strings":["Technical University of Munich, Munich, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technical University of Munich, Munich, Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043929096","display_name":"Kinfe Tadesse Mengistu","orcid":null},"institutions":[{"id":"https://openalex.org/I95793202","display_name":"Otto-von-Guericke-Universit\u00e4t Magdeburg","ror":"https://ror.org/00ggpsq73","country_code":"DE","type":"education","lineage":["https://openalex.org/I95793202"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Kinfe Tadesse Mengistu","raw_affiliation_strings":["Otto-von-Guericke University Magdeburg, Magdeburg, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Otto-von-Guericke University Magdeburg, Magdeburg, Germany","institution_ids":["https://openalex.org/I95793202"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039092855","display_name":"Gerhard Rigoll","orcid":"https://orcid.org/0000-0003-1096-1596"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Gerhard Rigoll","raw_affiliation_strings":["Technical University of Munich, Munich, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technical University of Munich, Munich, Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047373591","display_name":"Andreas Wendemuth","orcid":"https://orcid.org/0000-0001-6917-8198"},"institutions":[{"id":"https://openalex.org/I95793202","display_name":"Otto-von-Guericke-Universit\u00e4t Magdeburg","ror":"https://ror.org/00ggpsq73","country_code":"DE","type":"education","lineage":["https://openalex.org/I95793202"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Andreas Wendemuth","raw_affiliation_strings":["Otto-von-Guericke University Magdeburg, Magdeburg, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Otto-von-Guericke University Magdeburg, Magdeburg, Germany","institution_ids":["https://openalex.org/I95793202"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.0274,"has_fulltext":true,"cited_by_count":20,"citation_normalized_percentile":{"value":0.94837172,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"805","last_page":"808"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9869999885559082,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9836999773979187,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7822647094726562},{"id":"https://openalex.org/keywords/paralanguage","display_name":"Paralanguage","score":0.7502626180648804},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.7368971705436707},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.6501399874687195},{"id":"https://openalex.org/keywords/mel-frequency-cepstrum","display_name":"Mel-frequency cepstrum","score":0.5809367895126343},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.5493443012237549},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5170620083808899},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4924705922603607},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4486786723136902},{"id":"https://openalex.org/keywords/usable","display_name":"USable","score":0.422995924949646},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.42152905464172363},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.41461992263793945},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.12092477083206177}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7822647094726562},{"id":"https://openalex.org/C133378560","wikidata":"https://www.wikidata.org/wiki/Q1753225","display_name":"Paralanguage","level":2,"score":0.7502626180648804},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.7368971705436707},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.6501399874687195},{"id":"https://openalex.org/C151989614","wikidata":"https://www.wikidata.org/wiki/Q440370","display_name":"Mel-frequency cepstrum","level":3,"score":0.5809367895126343},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.5493443012237549},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5170620083808899},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4924705922603607},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4486786723136902},{"id":"https://openalex.org/C2780615836","wikidata":"https://www.wikidata.org/wiki/Q2471869","display_name":"USable","level":2,"score":0.422995924949646},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.42152905464172363},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.41461992263793945},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.12092477083206177},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.21437/interspeech.2008-246","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2008-246","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2008","raw_type":"proceedings-article"},{"id":"pmh:oai:uni-augsburg.opus-bayern.de:76685","is_oa":true,"landing_page_url":"https://nbn-resolving.org/urn:nbn:de:bvb:384-opus4-766853","pdf_url":"https://opus.bibliothek.uni-augsburg.de/opus4/files/76685/vlasenko08_interspeech.pdf","source":{"id":"https://openalex.org/S4306400930","display_name":"OPUS (Augsburg University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I119916105","host_organization_name":"Augsburg University","host_organization_lineage":["https://openalex.org/I119916105"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"bookpart"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.364.5205","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.364.5205","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.mmk.ei.tum.de/publ/pdf/08/08vla2.pdf","raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:uni-augsburg.opus-bayern.de:76685","is_oa":true,"landing_page_url":"https://nbn-resolving.org/urn:nbn:de:bvb:384-opus4-766853","pdf_url":"https://opus.bibliothek.uni-augsburg.de/opus4/files/76685/vlasenko08_interspeech.pdf","source":{"id":"https://openalex.org/S4306400930","display_name":"OPUS (Augsburg University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I119916105","host_organization_name":"Augsburg University","host_organization_lineage":["https://openalex.org/I119916105"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"bookpart"},"sustainable_development_goals":[{"score":0.7300000190734863,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320316913","display_name":"Center for Behavioral Brain Sciences","ror":"https://ror.org/03d1zwe41"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W174728840.pdf","grobid_xml":"https://content.openalex.org/works/W174728840.grobid-xml"},"referenced_works_count":13,"referenced_works":["https://openalex.org/W71317400","https://openalex.org/W99485238","https://openalex.org/W170282027","https://openalex.org/W175750906","https://openalex.org/W179777611","https://openalex.org/W2056030034","https://openalex.org/W2074179263","https://openalex.org/W2110052520","https://openalex.org/W2110709236","https://openalex.org/W2149345536","https://openalex.org/W2747342956","https://openalex.org/W4213060595","https://openalex.org/W4239447739"],"related_works":["https://openalex.org/W2064370490","https://openalex.org/W3166813893","https://openalex.org/W2910013580","https://openalex.org/W2391900574","https://openalex.org/W3200958703","https://openalex.org/W1990078780","https://openalex.org/W3108667266","https://openalex.org/W2376619307","https://openalex.org/W3118437876","https://openalex.org/W1527444722"],"abstract_inverted_index":{"Recognition":[0],"and":[1,57,66,80,87,112,115,149,160,166],"detection":[2],"of":[3,20,28,55,59,75,96,138,141,146,152],"non-lexical":[4],"or":[5],"paralinguistic":[6],"cues":[7],"from":[8],"speech":[9],"usually":[10],"uses":[11],"one":[12],"general":[13],"model":[14,24],"per":[15],"event":[16],"(emotional":[17],"state,":[18],"level":[19,50,58,128],"interest).":[21],"Commonly":[22],"this":[23,35,42],"is":[25,52],"trained":[26],"independent":[27],"the":[29,45,53,94,107,113,123,131,136,144],"phonetic":[30,49],"structure.":[31],"Given":[32],"sufficient":[33],"data,":[34],"approach":[36],"seemingly":[37],"works":[38],"well":[39],"enough.":[40],"Yet,":[41],"paper":[43],"addresses":[44],"question":[46],"on":[47,106,143],"which":[48],"there":[51],"onset":[54],"emotions":[56],"interest.":[60],"We":[61,134],"therefore":[62],"compare":[63],"phoneme-,":[64],"word-":[65],"sentence-level":[67],"analysis":[68,129,142],"for":[69,85,89],"emotional":[70],"sentence":[71,127],"classification":[72],"by":[73,126],"use":[74],"a":[76],"large":[77],"prosodic,":[78],"spectral,":[79],"voice":[81],"quality":[82],"feature":[83],"space":[84],"SVM":[86],"MFCC":[88],"HMM/GMM.":[90],"Experiments":[91],"also":[92],"take":[93],"necessity":[95],"ASR":[97],"into":[98],"account":[99],"to":[100],"select":[101],"appropriate":[102],"unit-models.":[103],"In":[104],"experiments":[105],"well-known":[108],"public":[109],"EMO-DB":[110],"database,":[111],"SUSAS":[114],"AVIC":[116],"spontaneous":[117],"interest":[118,150,161],"corpora,":[119],"we":[120],"found":[121],"that":[122],"emotion":[124,148,159],"recognition":[125,151],"shows":[130],"best":[132],"results.":[133],"discuss":[135],"implications":[137],"these":[139],"types":[140],"design":[145],"robust":[147],"usable":[153],"human-machine":[154],"interfaces":[155],"(HMI).":[156],"Index":[157],"Terms:":[158],"recognition,":[162],"affective":[163],"speech,":[164],"phoneme":[165],"word":[167],"models":[168]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}