{"id":"https://openalex.org/W2074187690","doi":"https://doi.org/10.1109/icassp.2013.6639124","title":"Voice-based sadness and anger recognition with cross-corpora evaluation","display_name":"Voice-based sadness and anger recognition with cross-corpora evaluation","publication_year":2013,"publication_date":"2013-05-01","ids":{"openalex":"https://openalex.org/W2074187690","doi":"https://doi.org/10.1109/icassp.2013.6639124","mag":"2074187690"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2013.6639124","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2013.6639124","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Acoustics, Speech and Signal Processing","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/A5091135682","display_name":"Orith Toledo\u2010Ronen","orcid":null},"institutions":[{"id":"https://openalex.org/I4210167297","display_name":"IBM Research - Haifa","ror":"https://ror.org/05rw9t746","country_code":"IL","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115","https://openalex.org/I4210167297"]},{"id":"https://openalex.org/I91203450","display_name":"University of Haifa","ror":"https://ror.org/02f009v59","country_code":"IL","type":"education","lineage":["https://openalex.org/I91203450"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Orith Toledo-Ronen","raw_affiliation_strings":["IBM Research-Haifa, Haifa University, Haifa, Israel","IBM Res. - Haifa, Haifa Univ. Mount Carmel, Haifa, Israel"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research-Haifa, Haifa University, Haifa, Israel","institution_ids":["https://openalex.org/I4210167297"]},{"raw_affiliation_string":"IBM Res. - Haifa, Haifa Univ. Mount Carmel, Haifa, Israel","institution_ids":["https://openalex.org/I91203450"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029658066","display_name":"A. S. Sorin","orcid":"https://orcid.org/0000-0002-9775-2115"},"institutions":[{"id":"https://openalex.org/I4210167297","display_name":"IBM Research - Haifa","ror":"https://ror.org/05rw9t746","country_code":"IL","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115","https://openalex.org/I4210167297"]},{"id":"https://openalex.org/I91203450","display_name":"University of Haifa","ror":"https://ror.org/02f009v59","country_code":"IL","type":"education","lineage":["https://openalex.org/I91203450"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Alexander Sorin","raw_affiliation_strings":["IBM Research-Haifa, Haifa University, Haifa, Israel","IBM Res. - Haifa, Haifa Univ. Mount Carmel, Haifa, Israel"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research-Haifa, Haifa University, Haifa, Israel","institution_ids":["https://openalex.org/I4210167297"]},{"raw_affiliation_string":"IBM Res. - Haifa, Haifa Univ. Mount Carmel, Haifa, Israel","institution_ids":["https://openalex.org/I91203450"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.2755,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.82238364,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"7517","last_page":"7521"},"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/T12488","display_name":"Mental Health via Writing","score":0.9955999851226807,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social 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":0.9951000213623047,"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/sadness","display_name":"Sadness","score":0.9463011622428894},{"id":"https://openalex.org/keywords/anger","display_name":"Anger","score":0.8534075021743774},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7796345949172974},{"id":"https://openalex.org/keywords/cross-validation","display_name":"Cross-validation","score":0.5853504538536072},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5706052184104919},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5334985852241516},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4728788733482361},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.47039541602134705},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4455149173736572},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.4234394133090973},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32900214195251465},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32224786281585693},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.11618897318840027},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.06865578889846802}],"concepts":[{"id":"https://openalex.org/C2779812673","wikidata":"https://www.wikidata.org/wiki/Q169251","display_name":"Sadness","level":3,"score":0.9463011622428894},{"id":"https://openalex.org/C2779302386","wikidata":"https://www.wikidata.org/wiki/Q79871","display_name":"Anger","level":2,"score":0.8534075021743774},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7796345949172974},{"id":"https://openalex.org/C27181475","wikidata":"https://www.wikidata.org/wiki/Q541014","display_name":"Cross-validation","level":2,"score":0.5853504538536072},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5706052184104919},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5334985852241516},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4728788733482361},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.47039541602134705},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4455149173736572},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.4234394133090973},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32900214195251465},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32224786281585693},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.11618897318840027},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.06865578889846802},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2013.6639124","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2013.6639124","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Acoustics, Speech and Signal Processing","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":20,"referenced_works":["https://openalex.org/W1990926279","https://openalex.org/W2016839396","https://openalex.org/W2069374393","https://openalex.org/W2085091603","https://openalex.org/W2085662862","https://openalex.org/W2153635508","https://openalex.org/W2168692779","https://openalex.org/W2332725226","https://openalex.org/W2395936365","https://openalex.org/W2397175282","https://openalex.org/W2400346398","https://openalex.org/W2404448607","https://openalex.org/W2520951703","https://openalex.org/W2546101873","https://openalex.org/W2752818578","https://openalex.org/W3120421331","https://openalex.org/W6726906186","https://openalex.org/W6728894111","https://openalex.org/W6743825357","https://openalex.org/W6927634225"],"related_works":["https://openalex.org/W4365519294","https://openalex.org/W3031187173","https://openalex.org/W3135436127","https://openalex.org/W2805647211","https://openalex.org/W3179181153","https://openalex.org/W2100930849","https://openalex.org/W2557139663","https://openalex.org/W2073249509","https://openalex.org/W2481378124","https://openalex.org/W1980267738"],"abstract_inverted_index":{"Real-life":[0],"scenarios":[1],"often":[2],"require":[3],"detection":[4,29,47,83],"of":[5,22,42,63,72],"few":[6],"target":[7],"emotional":[8],"categories":[9],"under":[10],"a":[11,23,53,70],"high":[12],"mismatch":[13,44],"between":[14],"training":[15],"and":[16,27,81,92],"operation":[17],"conditions.":[18],"We":[19,38,59,75,95],"present":[20],"results":[21,51],"study":[24],"on":[25,45],"sadness":[26,80],"anger":[28,82],"with":[30],"cross-corpora":[31,50,91,105],"evaluations":[32],"using":[33,85],"two":[34],"publically":[35],"available":[36],"databases.":[37],"demonstrate":[39],"the":[40,43,46,61,65,86,104],"influence":[41],"accuracy":[48],"comparing":[49],"to":[52],"single":[54],"test":[55],"corpus":[56],"cross-validation":[57],"results.":[58],"introduce":[60],"methodology":[62],"representing":[64],"broad":[66],"complementary":[67],"category":[68],"by":[69,84],"number":[71],"hidden":[73],"classes.":[74],"show":[76],"performance":[77],"improvements":[78],"in":[79,89,103],"hidden-classes":[87],"approach":[88],"both":[90],"single-corpus":[93],"evaluations.":[94],"explore":[96],"feature":[97],"subset":[98],"selection":[99],"achieving":[100],"further":[101],"improvement":[102],"settings.":[106]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2016,"cited_by_count":3},{"year":2014,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
