{"id":"https://openalex.org/W2231310389","doi":"https://doi.org/10.1109/isspit.2015.7394252","title":"Towards a level assessment system of amusement in speech signals: Amused speech components classification","display_name":"Towards a level assessment system of amusement in speech signals: Amused speech components classification","publication_year":2015,"publication_date":"2015-12-01","ids":{"openalex":"https://openalex.org/W2231310389","doi":"https://doi.org/10.1109/isspit.2015.7394252","mag":"2231310389"},"language":"en","primary_location":{"id":"doi:10.1109/isspit.2015.7394252","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isspit.2015.7394252","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)","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/A5074305407","display_name":"Kevin El Haddad","orcid":"https://orcid.org/0000-0003-1465-6273"},"institutions":[{"id":"https://openalex.org/I130929987","display_name":"University of Mons","ror":"https://ror.org/02qnnz951","country_code":"BE","type":"education","lineage":["https://openalex.org/I130929987"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Kevin El Haddad","raw_affiliation_strings":["TCTS lab, University of Mons, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TCTS lab, University of Mons, Belgium","institution_ids":["https://openalex.org/I130929987"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072839884","display_name":"H\u00fcseyin \u00c7akmak","orcid":"https://orcid.org/0000-0002-1463-7606"},"institutions":[{"id":"https://openalex.org/I130929987","display_name":"University of Mons","ror":"https://ror.org/02qnnz951","country_code":"BE","type":"education","lineage":["https://openalex.org/I130929987"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Huseyin Cakmak","raw_affiliation_strings":["TCTS lab, University of Mons, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TCTS lab, University of Mons, Belgium","institution_ids":["https://openalex.org/I130929987"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083563222","display_name":"St\u00e9phane Dupont","orcid":"https://orcid.org/0000-0003-3674-6747"},"institutions":[{"id":"https://openalex.org/I130929987","display_name":"University of Mons","ror":"https://ror.org/02qnnz951","country_code":"BE","type":"education","lineage":["https://openalex.org/I130929987"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Stephane Dupont","raw_affiliation_strings":["TCTS lab, University of Mons, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TCTS lab, University of Mons, Belgium","institution_ids":["https://openalex.org/I130929987"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042439255","display_name":"Thierry Dutoit","orcid":"https://orcid.org/0000-0001-7024-2150"},"institutions":[{"id":"https://openalex.org/I130929987","display_name":"University of Mons","ror":"https://ror.org/02qnnz951","country_code":"BE","type":"education","lineage":["https://openalex.org/I130929987"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Thierry Dutoit","raw_affiliation_strings":["TCTS lab, University of Mons, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TCTS lab, University of Mons, Belgium","institution_ids":["https://openalex.org/I130929987"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I130929987"],"apc_list":null,"apc_paid":null,"fwci":0.2899,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.58130572,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"12","last_page":"17"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9998000264167786,"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/T10860","display_name":"Speech and Audio Processing","score":0.9998000264167786,"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/T11309","display_name":"Music and Audio Processing","score":0.9983000159263611,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9962000250816345,"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/amusement","display_name":"Amusement","score":0.9368867874145508},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6727210879325867},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6620491743087769},{"id":"https://openalex.org/keywords/laughter","display_name":"Laughter","score":0.6470391154289246},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5737341642379761},{"id":"https://openalex.org/keywords/word-error-rate","display_name":"Word error rate","score":0.5659477710723877},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3995617628097534},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3874329626560211},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12370327115058899},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.12098482251167297}],"concepts":[{"id":"https://openalex.org/C2779056813","wikidata":"https://www.wikidata.org/wiki/Q2844542","display_name":"Amusement","level":2,"score":0.9368867874145508},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6727210879325867},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6620491743087769},{"id":"https://openalex.org/C2780775679","wikidata":"https://www.wikidata.org/wiki/Q170579","display_name":"Laughter","level":2,"score":0.6470391154289246},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5737341642379761},{"id":"https://openalex.org/C40969351","wikidata":"https://www.wikidata.org/wiki/Q3516228","display_name":"Word error rate","level":2,"score":0.5659477710723877},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3995617628097534},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3874329626560211},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12370327115058899},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.12098482251167297},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/isspit.2015.7394252","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isspit.2015.7394252","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.712.4196","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.712.4196","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://tcts.fpms.ac.be/publications/papers/2015/isspit2015_amusedspeechclass_kesdhctd.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1504365409","https://openalex.org/W1591607137","https://openalex.org/W1634026491","https://openalex.org/W1916142944","https://openalex.org/W2054305348","https://openalex.org/W2062391442","https://openalex.org/W2089864340","https://openalex.org/W2096618631","https://openalex.org/W2097798293","https://openalex.org/W2124437639","https://openalex.org/W2151055832","https://openalex.org/W2158630797","https://openalex.org/W2171887949","https://openalex.org/W2214475686","https://openalex.org/W2230098552","https://openalex.org/W2295001676","https://openalex.org/W2479414554","https://openalex.org/W4235534324","https://openalex.org/W6674652529","https://openalex.org/W6697498398"],"related_works":["https://openalex.org/W2758213419","https://openalex.org/W3093824766","https://openalex.org/W3092438278","https://openalex.org/W4385559915","https://openalex.org/W4366286706","https://openalex.org/W2174919855","https://openalex.org/W1554062917","https://openalex.org/W202232655","https://openalex.org/W2136022343","https://openalex.org/W2084044240"],"abstract_inverted_index":{"In":[0],"this":[1,66],"paper,":[2],"we":[3,73],"expose":[4],"our":[5],"work":[6,18],"on":[7],"classification":[8,79],"of":[9,21,31,41,57],"smiled":[10],"vowels,":[11],"shaking":[12],"vowels":[13],"and":[14,49],"laughter":[15],"syllables.":[16],"This":[17],"is":[19],"part":[20],"a":[22,54],"larger":[23],"framework":[24],"that":[25],"aims":[26],"at":[27],"assessing":[28],"the":[29,85,88],"level":[30,56],"amusement":[32],"in":[33,46],"speech":[34,48],"using":[35],"only":[36,69],"audio":[37],"cues.":[38],"Indeed":[39],"all":[40],"these":[42],"three":[43],"categories":[44],"occur":[45],"amused":[47],"are":[50,62,74],"considered":[51],"to":[52,64,76],"express":[53],"different":[55,82],"amusement.":[58],"Four":[59],"novel":[60],"features":[61],"used":[63],"accomplish":[65],"task.":[67],"With":[68],"those":[70],"four":[71],"features,":[72],"able":[75],"obtain":[77],"good":[78],"results":[80],"with":[81],"systems.":[83],"Among":[84],"compared":[86],"systems,":[87],"best":[89],"one":[90],"achieved":[91],"21.04%":[92],"error":[93],"rate,":[94],"therefore":[95],"an":[96],"accuracy":[97],"well":[98],"above":[99],"chance.":[100]},"counts_by_year":[{"year":2017,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}