{"id":"https://openalex.org/W2401417847","doi":"https://doi.org/10.21437/interspeech.2014-60","title":"Building a naturalistic emotional speech corpus by retrieving expressive behaviors from existing speech corpora","display_name":"Building a naturalistic emotional speech corpus by retrieving expressive behaviors from existing speech corpora","publication_year":2014,"publication_date":"2014-09-14","ids":{"openalex":"https://openalex.org/W2401417847","doi":"https://doi.org/10.21437/interspeech.2014-60","mag":"2401417847"},"language":"en","primary_location":{"id":"doi:10.21437/interspeech.2014-60","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2014-60","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2014","raw_type":"proceedings-article"},"type":"conference-paper","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/A5022916498","display_name":"Soroosh Mariooryad","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Soroosh Mariooryad","raw_affiliation_strings":["University of Texas at Dallas"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Texas at Dallas","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041789037","display_name":"Reza Lotfian","orcid":"https://orcid.org/0000-0003-1891-0267"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Reza Lotfian","raw_affiliation_strings":["University of Texas at Dallas"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Texas at Dallas","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040793194","display_name":"Carlos Busso","orcid":"https://orcid.org/0000-0002-4075-4072"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Carlos Busso","raw_affiliation_strings":["Electrical Engineering"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical Engineering","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":52,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"238","last_page":"242"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9998999834060669,"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":0.9998999834060669,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.996999979019165,"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/T11309","display_name":"Music and Audio Processing","score":0.9836999773979187,"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/computer-science","display_name":"Computer science","score":0.7728976011276245},{"id":"https://openalex.org/keywords/speech-corpus","display_name":"Speech corpus","score":0.6514964699745178},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5954702496528625},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5864622592926025},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4091145098209381},{"id":"https://openalex.org/keywords/speech-synthesis","display_name":"Speech synthesis","score":0.38677680492401123}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7728976011276245},{"id":"https://openalex.org/C91863865","wikidata":"https://www.wikidata.org/wiki/Q4349497","display_name":"Speech corpus","level":3,"score":0.6514964699745178},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5954702496528625},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5864622592926025},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4091145098209381},{"id":"https://openalex.org/C14999030","wikidata":"https://www.wikidata.org/wiki/Q16346","display_name":"Speech synthesis","level":2,"score":0.38677680492401123}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21437/interspeech.2014-60","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2014-60","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2014","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W97072897","https://openalex.org/W129316862","https://openalex.org/W175750906","https://openalex.org/W1261896931","https://openalex.org/W1530474158","https://openalex.org/W2010700035","https://openalex.org/W2045528981","https://openalex.org/W2085662862","https://openalex.org/W2097732741","https://openalex.org/W2102953093","https://openalex.org/W2117274752","https://openalex.org/W2122563357","https://openalex.org/W2129794709","https://openalex.org/W2131406347","https://openalex.org/W2132555391","https://openalex.org/W2133990480","https://openalex.org/W2143350951","https://openalex.org/W2146334809","https://openalex.org/W2158630797","https://openalex.org/W2158943324","https://openalex.org/W2161881409","https://openalex.org/W2265652568","https://openalex.org/W2296199791"],"related_works":["https://openalex.org/W2181773877","https://openalex.org/W2110108310","https://openalex.org/W2537969829","https://openalex.org/W1975640689","https://openalex.org/W2567495185","https://openalex.org/W2061768620","https://openalex.org/W2579204149","https://openalex.org/W1553553570","https://openalex.org/W2225513120","https://openalex.org/W2153664791"],"abstract_inverted_index":{"A":[0],"key":[1],"element":[2],"in":[3,65,85],"affective":[4],"computing":[5],"is":[6,24,40,143],"to":[7,28,49,90,107,116,125,134,166],"have":[8,91],"large":[9,145],"corpora":[10],"of":[11,82,97,102,162],"genuine":[12],"emotional":[13,30,67,108,136,169,180],"samples":[14,158],"collected":[15,74],"during":[16],"natural":[17,20],"conversations.":[18],"Recording":[19],"interactions":[21],"through":[22],"telephone":[23],"an":[25],"appealing":[26],"approach":[27,63],"build":[29,126,167],"databases.":[31],"However,":[32],"collecting":[33],"real":[34],"conversational":[35,146],"data":[36],"with":[37,52],"expressive":[38,176],"reactions":[39,68],"a":[41,61,144],"challenging":[42],"task,":[43],"especially":[44],"if":[45],"the":[46,53,83,95,98,100,103,120,139,151,156,160,163],"recordings":[47,84],"are":[48,88],"be":[50],"shared":[51],"community":[54],"(e.g.,":[55],"privacy":[56],"concerns).":[57],"This":[58],"study":[59],"explores":[60],"novel":[62],"consisting":[64],"retrieving":[66],"from":[69,110,138],"existing":[70],"spontaneous":[71],"speech":[72,77,147,170],"databases":[73,87,124,181],"for":[75],"general":[76],"processing":[78],"problems.":[79],"Although":[80],"most":[81],"these":[86,132],"expected":[89],"non-emotional":[92],"expressions,":[93],"given":[94],"naturalness":[96],"interactions,":[99],"flow":[101],"conversation":[104,111],"can":[105],"lead":[106],"responses":[109],"partners":[112],"which":[113,142],"we":[114],"aim":[115],"retrieve.":[117],"We":[118,130],"use":[119,131],"IEMOCAP":[121],"and":[122],"SEMAINE":[123],"emotion":[127,174],"detector":[128],"systems.":[129],"classifiers":[133],"identify":[135],"behaviors":[137],"FISHER":[140],"database,":[141],"corpus":[148],"recorded":[149],"over":[150,155],"phone.":[152],"Subjective":[153],"evaluations":[154],"retrieved":[157],"demonstrate":[159],"potential":[161],"proposed":[164],"scheme":[165],"naturalistic":[168],"database.":[171],"Index":[172],"Terms:":[173],"recognition,":[175],"speech,":[177],"information":[178],"retrieval,":[179]},"counts_by_year":[{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":6}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
