{"id":"https://openalex.org/W257874415","doi":"https://doi.org/10.21437/interspeech.2007-609","title":"Two-stream emotion recognition for call center monitoring","display_name":"Two-stream emotion recognition for call center monitoring","publication_year":2007,"publication_date":"2007-08-27","ids":{"openalex":"https://openalex.org/W257874415","doi":"https://doi.org/10.21437/interspeech.2007-609","mag":"257874415"},"language":"en","primary_location":{"id":"doi:10.21437/interspeech.2007-609","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2007-609","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2007","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":null,"display_name":"Purnima Gupta","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Purnima Gupta","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5109086475","display_name":"Nitendra Rajput","orcid":null},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nitendra Rajput","raw_affiliation_strings":["IBM, ,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM, ,","institution_ids":["https://openalex.org/I1341412227"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.4217,"has_fulltext":false,"cited_by_count":58,"citation_normalized_percentile":{"value":0.89449508,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"2241","last_page":"2244"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9983000159263611,"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"}},"topics":[{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9983000159263611,"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":0.9955000281333923,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9947999715805054,"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":0.659770667552948},{"id":"https://openalex.org/keywords/center","display_name":"Center (category theory)","score":0.6341214179992676},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5664024353027344},{"id":"https://openalex.org/keywords/emotion-recognition","display_name":"Emotion recognition","score":0.41169628500938416}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.659770667552948},{"id":"https://openalex.org/C2779463800","wikidata":"https://www.wikidata.org/wiki/Q5062222","display_name":"Center (category theory)","level":2,"score":0.6341214179992676},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5664024353027344},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.41169628500938416},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C8010536","wikidata":"https://www.wikidata.org/wiki/Q160398","display_name":"Crystallography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21437/interspeech.2007-609","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2007-609","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2007","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W141482854","https://openalex.org/W1502400294","https://openalex.org/W1535925594","https://openalex.org/W2005422315","https://openalex.org/W2148506018","https://openalex.org/W2149684865","https://openalex.org/W2167797544","https://openalex.org/W2435251607"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2382290278","https://openalex.org/W2350741829","https://openalex.org/W2130043461","https://openalex.org/W2530322880","https://openalex.org/W3126677997"],"abstract_inverted_index":{"Wepresent":[0],"a":[1,63,66,125],"technique":[2,92,108],"for":[3,9,37,65,96],"two-stream":[4,126],"processing":[5],"of":[6,29,39,55,73,124,135],"speech":[7,148],"signals":[8],"emotion":[10,16,25,45,68,137,144],"detection.":[11],"The":[12,53,70],"first":[13],"stream":[14,23,75],"recognises":[15,24],"from":[17,26,47,82,139],"acoustic":[18,140],"features":[19],"while":[20,86],"the":[21,27,30,40,44,48,56,80,83,88,105,116,132],"second":[22],"semantics":[28,102],"conversation.":[31],"A":[32],"probabilistic":[33],"measure":[34],"is":[35,51,59,76,93,109],"derived":[36],"each":[38,74],"individual":[41],"streams":[42,50,58,85],"and":[43,114],"category":[46],"two":[49,57,84],"recognised.":[52],"output":[54],"combined":[60],"to":[61,78],"generate":[62],"score":[64],"particular":[67],"category.":[69],"confidence":[71],"level":[72],"used":[77],"weigh":[79],"scores":[81],"generating":[87],"final":[89],"score.":[90],"This":[91],"extremely":[94],"significant":[95],"call-center":[97,118],"data":[98],"that":[99,122],"have":[100],"some":[101],"associated":[103],"with":[104],"speech.":[106],"Theproposed":[107],"evaluated":[110],"on":[111,115],"theLDC":[112],"corpus":[113],"real-word":[117],"data.":[119],"Experiments":[120],"suggest":[121],"use":[123],"process":[127],"provides":[128],"better":[129],"results":[130],"than":[131],"existing":[133],"techniques":[134],"extracting":[136],"only":[138],"features.":[141],"Index":[142],"Terms:":[143],"detection,":[145],"text":[146],"analytics,":[147],"recognition":[149]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":2},{"year":2012,"cited_by_count":4}],"updated_date":"2026-06-23T13:55:30.953635","created_date":"2025-10-10T00:00:00"}