{"id":"https://openalex.org/W2166994723","doi":"https://doi.org/10.1186/1687-4722-2013-19","title":"On the use of speech parameter contours for emotion recognition","display_name":"On the use of speech parameter contours for emotion recognition","publication_year":2013,"publication_date":"2013-07-10","ids":{"openalex":"https://openalex.org/W2166994723","doi":"https://doi.org/10.1186/1687-4722-2013-19","mag":"2166994723"},"language":"en","primary_location":{"id":"doi:10.1186/1687-4722-2013-19","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1687-4722-2013-19","pdf_url":"https://asmp-eurasipjournals.springeropen.com/counter/pdf/10.1186/1687-4722-2013-19","source":{"id":"https://openalex.org/S19605986","display_name":"EURASIP Journal on Audio Speech and Music Processing","issn_l":"1687-4714","issn":["1687-4714","1687-4722","3091-4523"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Audio, Speech, and Music Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://asmp-eurasipjournals.springeropen.com/counter/pdf/10.1186/1687-4722-2013-19","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5032689109","display_name":"Vidhyasaharan Sethu","orcid":"https://orcid.org/0000-0001-8492-1787"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Vidhyasaharan Sethu","raw_affiliation_strings":["The School of Electrical Engineering and Telecommunications, The University of New South Wales, New South Wales, Sydney, 2052, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The School of Electrical Engineering and Telecommunications, The University of New South Wales, New South Wales, Sydney, 2052, Australia","institution_ids":["https://openalex.org/I31746571"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028116210","display_name":"Eliathamby Ambikairajah","orcid":"https://orcid.org/0000-0003-4673-6534"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Eliathamby Ambikairajah","raw_affiliation_strings":["The School of Electrical Engineering and Telecommunications, The University of New South Wales, New South Wales, Sydney, 2052, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The School of Electrical Engineering and Telecommunications, The University of New South Wales, New South Wales, Sydney, 2052, Australia","institution_ids":["https://openalex.org/I31746571"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030922449","display_name":"Julien Epps","orcid":"https://orcid.org/0000-0001-6624-5551"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Julien Epps","raw_affiliation_strings":["The School of Electrical Engineering and Telecommunications, The University of New South Wales, New South Wales, Sydney, 2052, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The School of Electrical Engineering and Telecommunications, The University of New South Wales, New South Wales, Sydney, 2052, Australia","institution_ids":["https://openalex.org/I31746571"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5032689109"],"corresponding_institution_ids":["https://openalex.org/I31746571"],"apc_list":{"value":1635,"currency":"USD","value_usd":1635},"apc_paid":{"value":1635,"currency":"USD","value_usd":1635},"fwci":1.1795,"has_fulltext":true,"cited_by_count":11,"citation_normalized_percentile":{"value":0.81317306,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"2013","issue":"1","first_page":null,"last_page":null},"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":0.9987000226974487,"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/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"}}],"keywords":[{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.777370810508728},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.7577962875366211},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.735158383846283},{"id":"https://openalex.org/keywords/utterance","display_name":"Utterance","score":0.6478051543235779},{"id":"https://openalex.org/keywords/prosody","display_name":"Prosody","score":0.6418455839157104},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5288687348365784},{"id":"https://openalex.org/keywords/active-listening","display_name":"Active listening","score":0.5086753964424133},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5051420331001282},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49066293239593506},{"id":"https://openalex.org/keywords/formant","display_name":"Formant","score":0.4488150477409363},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.38513481616973877},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3492968678474426},{"id":"https://openalex.org/keywords/vowel","display_name":"Vowel","score":0.16509664058685303}],"concepts":[{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.777370810508728},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.7577962875366211},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.735158383846283},{"id":"https://openalex.org/C2775852435","wikidata":"https://www.wikidata.org/wiki/Q258403","display_name":"Utterance","level":2,"score":0.6478051543235779},{"id":"https://openalex.org/C542774811","wikidata":"https://www.wikidata.org/wiki/Q10880526","display_name":"Prosody","level":2,"score":0.6418455839157104},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5288687348365784},{"id":"https://openalex.org/C177291462","wikidata":"https://www.wikidata.org/wiki/Q423038","display_name":"Active listening","level":2,"score":0.5086753964424133},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5051420331001282},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49066293239593506},{"id":"https://openalex.org/C158215666","wikidata":"https://www.wikidata.org/wiki/Q1414685","display_name":"Formant","level":3,"score":0.4488150477409363},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.38513481616973877},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3492968678474426},{"id":"https://openalex.org/C2779581591","wikidata":"https://www.wikidata.org/wiki/Q36244","display_name":"Vowel","level":2,"score":0.16509664058685303},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C46312422","wikidata":"https://www.wikidata.org/wiki/Q11024","display_name":"Communication","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1186/1687-4722-2013-19","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1687-4722-2013-19","pdf_url":"https://asmp-eurasipjournals.springeropen.com/counter/pdf/10.1186/1687-4722-2013-19","source":{"id":"https://openalex.org/S19605986","display_name":"EURASIP Journal on Audio Speech and Music Processing","issn_l":"1687-4714","issn":["1687-4714","1687-4722","3091-4523"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Audio, Speech, and Music Processing","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1186/1687-4722-2013-19","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1687-4722-2013-19","pdf_url":"https://asmp-eurasipjournals.springeropen.com/counter/pdf/10.1186/1687-4722-2013-19","source":{"id":"https://openalex.org/S19605986","display_name":"EURASIP Journal on Audio Speech and Music Processing","issn_l":"1687-4714","issn":["1687-4714","1687-4722","3091-4523"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Audio, Speech, and Music Processing","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.6000000238418579}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2166994723.pdf","grobid_xml":"https://content.openalex.org/works/W2166994723.grobid-xml"},"referenced_works_count":48,"referenced_works":["https://openalex.org/W65466786","https://openalex.org/W94684640","https://openalex.org/W141927798","https://openalex.org/W156594475","https://openalex.org/W169745891","https://openalex.org/W181056519","https://openalex.org/W188261101","https://openalex.org/W283543405","https://openalex.org/W1206231705","https://openalex.org/W1501669607","https://openalex.org/W1535925594","https://openalex.org/W1552278919","https://openalex.org/W1569087642","https://openalex.org/W1585320421","https://openalex.org/W1594352493","https://openalex.org/W1645796660","https://openalex.org/W1756939916","https://openalex.org/W1972746647","https://openalex.org/W1974695204","https://openalex.org/W2021320575","https://openalex.org/W2022194925","https://openalex.org/W2051457717","https://openalex.org/W2058819080","https://openalex.org/W2064641533","https://openalex.org/W2065925624","https://openalex.org/W2074179263","https://openalex.org/W2074788634","https://openalex.org/W2107610421","https://openalex.org/W2110052520","https://openalex.org/W2111926505","https://openalex.org/W2113258846","https://openalex.org/W2118789253","https://openalex.org/W2121525714","https://openalex.org/W2125365056","https://openalex.org/W2126672039","https://openalex.org/W2137639365","https://openalex.org/W2141140848","https://openalex.org/W2147215240","https://openalex.org/W2155295839","https://openalex.org/W2164764235","https://openalex.org/W2167002006","https://openalex.org/W2168005721","https://openalex.org/W2171696107","https://openalex.org/W2171939880","https://openalex.org/W2468993375","https://openalex.org/W2542587589","https://openalex.org/W4245744384","https://openalex.org/W6719858163"],"related_works":["https://openalex.org/W2046217390","https://openalex.org/W4365503437","https://openalex.org/W2362995206","https://openalex.org/W2004825552","https://openalex.org/W1986672430","https://openalex.org/W1990629684","https://openalex.org/W1971436356","https://openalex.org/W2064537740","https://openalex.org/W4214652783","https://openalex.org/W258725851"],"abstract_inverted_index":{"Many":[0],"features":[1,38,68],"have":[2],"been":[3],"proposed":[4,84,189],"for":[5],"speech-based":[6],"emotion":[7,72,164],"recognition,":[8],"and":[9,115,178,181],"a":[10,29,40,61,76,89,95],"majority":[11],"of":[12,36,54,57,64,110,127,136,146,157],"them":[13],"are":[14,117],"frame":[15],"based":[16],"or":[17,39],"statistics":[18],"estimated":[19],"from":[20,60],"frame-based":[21,37,96],"features.":[22],"Temporal":[23],"information":[24,87,123,142],"is":[25,92,131],"typically":[26],"modelled":[27],"on":[28,88,170],"per":[30],"utterance":[31,101],"basis,":[32],"with":[33,51],"either":[34],"functionals":[35],"suitable":[41],"back-end.":[42,81],"This":[43,130],"paper":[44],"investigates":[45],"an":[46,70],"approach":[47],"that":[48],"combines":[49],"both,":[50],"the":[52,83,134,155,171,182,188],"use":[53,135,156],"temporal":[55,108,122,141],"contours":[56,109],"parameters":[58,114],"extracted":[59],"three-component":[62],"model":[63,79,120,139],"speech":[65,177],"production":[66],"as":[67],"in":[69,144,160],"automatic":[71],"recognition":[73],"system":[74,85],"using":[75],"hidden":[77],"Markov":[78],"(HMM)-based":[80],"Consequently,":[82],"models":[86],"segment-by-segment":[90],"scale":[91,97],"larger":[93],"than":[94,100],"but":[98],"smaller":[99],"level":[102],"modelling.":[103],"Specifically,":[104],"linear":[105,158],"approximations":[106,159],"to":[107,119,138,153,186],"formant":[111],"frequencies,":[112],"glottal":[113],"pitch":[116],"used":[118],"short-term":[121],"over":[124],"individual":[125],"segments":[126],"voiced":[128,147],"speech.":[129],"followed":[132],"by":[133],"HMMs":[137],"longer-term":[140],"contained":[143],"sequences":[145],"segments.":[148],"Listening":[149],"tests":[150],"were":[151,167],"conducted":[152],"validate":[154,187],"this":[161],"context.":[162],"Automatic":[163],"classification":[165],"experiments":[166],"carried":[168],"out":[169],"Linguistic":[172],"Data":[173],"Consortium":[174],"emotional":[175],"prosody":[176],"transcripts":[179],"corpus":[180,185],"FAU":[183],"Aibo":[184],"approach.":[190]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":1}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}