{"id":"https://openalex.org/W2774853474","doi":"https://doi.org/10.1109/icacci.2017.8125934","title":"Affective computing using speech processing for call centre applications","display_name":"Affective computing using speech processing for call centre applications","publication_year":2017,"publication_date":"2017-09-01","ids":{"openalex":"https://openalex.org/W2774853474","doi":"https://doi.org/10.1109/icacci.2017.8125934","mag":"2774853474"},"language":"en","primary_location":{"id":"doi:10.1109/icacci.2017.8125934","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icacci.2017.8125934","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Conference on Advances in Computing, Communications and Informatics (ICACCI)","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/A5066834674","display_name":"Rakshith K. Gowda","orcid":null},"institutions":[{"id":"https://openalex.org/I81556334","display_name":"Amrita Vishwa Vidyapeetham","ror":"https://ror.org/03am10p12","country_code":"IN","type":"education","lineage":["https://openalex.org/I81556334"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Rakshith K. Gowda","raw_affiliation_strings":["Dept. of Electronics & Communication Engineering, Amrita University, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Electronics & Communication Engineering, Amrita University, India","institution_ids":["https://openalex.org/I81556334"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036453869","display_name":"Vandana Nimbalker","orcid":null},"institutions":[{"id":"https://openalex.org/I81556334","display_name":"Amrita Vishwa Vidyapeetham","ror":"https://ror.org/03am10p12","country_code":"IN","type":"education","lineage":["https://openalex.org/I81556334"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Vandana Nimbalker","raw_affiliation_strings":["Dept. of Electronics & Communication Engineering, Amrita University, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Electronics & Communication Engineering, Amrita University, India","institution_ids":["https://openalex.org/I81556334"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108311948","display_name":"R Lavanya","orcid":null},"institutions":[{"id":"https://openalex.org/I81556334","display_name":"Amrita Vishwa Vidyapeetham","ror":"https://ror.org/03am10p12","country_code":"IN","type":"education","lineage":["https://openalex.org/I81556334"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"R. Lavanya","raw_affiliation_strings":["Dept. of Electronics & Communication Engineering, Amrita University, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Electronics & Communication Engineering, Amrita University, India","institution_ids":["https://openalex.org/I81556334"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101462441","display_name":"S. Lalitha","orcid":null},"institutions":[{"id":"https://openalex.org/I81556334","display_name":"Amrita Vishwa Vidyapeetham","ror":"https://ror.org/03am10p12","country_code":"IN","type":"education","lineage":["https://openalex.org/I81556334"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"S. Lalitha","raw_affiliation_strings":["Dept. of Electronics & Communication Engineering, Amrita University, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Electronics & Communication Engineering, Amrita University, India","institution_ids":["https://openalex.org/I81556334"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009362621","display_name":"Shikha Tripathi","orcid":"https://orcid.org/0000-0001-8123-5570"},"institutions":[{"id":"https://openalex.org/I81556334","display_name":"Amrita Vishwa Vidyapeetham","ror":"https://ror.org/03am10p12","country_code":"IN","type":"education","lineage":["https://openalex.org/I81556334"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Shikha Tripathi","raw_affiliation_strings":["Dept. of Electronics & Communication Engineering, Amrita University, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Electronics & Communication Engineering, Amrita University, India","institution_ids":["https://openalex.org/I81556334"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.174,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.81511057,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"766","last_page":"771"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9972000122070312,"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":0.9972000122070312,"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/T10860","display_name":"Speech and Audio Processing","score":0.9940999746322632,"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.968500018119812,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7502775192260742},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7438716292381287},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.54013991355896},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.4980335235595703},{"id":"https://openalex.org/keywords/affect","display_name":"Affect (linguistics)","score":0.48780253529548645},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4873524606227875},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4797726571559906},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.44697368144989014},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.445034384727478},{"id":"https://openalex.org/keywords/autocorrelation","display_name":"Autocorrelation","score":0.43790239095687866},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.4309615194797516},{"id":"https://openalex.org/keywords/speech-processing","display_name":"Speech processing","score":0.41377323865890503},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33998146653175354},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2058943510055542},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12003922462463379},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11176168918609619},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10861805081367493}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7502775192260742},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7438716292381287},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.54013991355896},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.4980335235595703},{"id":"https://openalex.org/C2776035688","wikidata":"https://www.wikidata.org/wiki/Q1606558","display_name":"Affect (linguistics)","level":2,"score":0.48780253529548645},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4873524606227875},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4797726571559906},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.44697368144989014},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.445034384727478},{"id":"https://openalex.org/C5297727","wikidata":"https://www.wikidata.org/wiki/Q786970","display_name":"Autocorrelation","level":2,"score":0.43790239095687866},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.4309615194797516},{"id":"https://openalex.org/C61328038","wikidata":"https://www.wikidata.org/wiki/Q3358061","display_name":"Speech processing","level":2,"score":0.41377323865890503},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33998146653175354},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2058943510055542},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12003922462463379},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11176168918609619},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10861805081367493},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icacci.2017.8125934","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icacci.2017.8125934","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Conference on Advances in Computing, Communications and Informatics (ICACCI)","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":17,"referenced_works":["https://openalex.org/W165981754","https://openalex.org/W1550888325","https://openalex.org/W1615689293","https://openalex.org/W1647376824","https://openalex.org/W1923358586","https://openalex.org/W1975205701","https://openalex.org/W1993519356","https://openalex.org/W2062391442","https://openalex.org/W2087618018","https://openalex.org/W2091432990","https://openalex.org/W2123119128","https://openalex.org/W2281534628","https://openalex.org/W2311025319","https://openalex.org/W2341459366","https://openalex.org/W2394556986","https://openalex.org/W2477452846","https://openalex.org/W2555780822"],"related_works":["https://openalex.org/W747394405","https://openalex.org/W1987236514","https://openalex.org/W174653542","https://openalex.org/W2381153750","https://openalex.org/W2041235277","https://openalex.org/W4200112873","https://openalex.org/W2955796858","https://openalex.org/W4224941037","https://openalex.org/W2004826645","https://openalex.org/W3135818052"],"abstract_inverted_index":{"The":[0,13,97],"paper":[1],"deals":[2],"with":[3],"affective":[4,21,95],"computing":[5],"to":[6,19,92],"improve":[7],"the":[8,101],"performance":[9],"of":[10,15,23,52,113],"Human-Machine":[11],"interaction.":[12],"focus":[14],"this":[16,73],"work":[17,37,104,109],"is":[18,38,78],"detect":[20,93],"state":[22],"a":[24,111],"human":[25],"using":[26,45,80,105],"speech":[27],"processing":[28],"techniques":[29],"primarily":[30],"intended":[31],"for":[32,116],"call":[33],"centre":[34],"applications.":[35],"Limited":[36],"reported":[39,103],"till":[40],"date":[41],"on":[42],"affect":[43,117],"detection":[44],"phase":[46,106],"derived":[47,107],"features.":[48],"A":[49,75],"unique":[50],"combination":[51],"Group":[53],"delay":[54,57],"(GD),":[55],"Phase":[56,68],"(PD),":[58],"One":[59],"Sided":[60],"Autocorrelation":[61],"Linear":[62],"Predictive":[63],"Coefficients":[64],"(OSALPC)":[65],"and":[66,87],"Residual":[67],"(RP)":[69],"are":[70],"used":[71],"in":[72],"work.":[74],"comparative":[76],"analysis":[77],"performed":[79],"Neural":[81],"Networks,":[82],"Support":[83],"Vector":[84],"Machine":[85],"(SVM)":[86],"K":[88],"Nearest":[89],"Neighbor":[90],"(KNN)":[91],"seven":[94],"states.":[96],"proposed":[98],"algorithm":[99],"outperforms":[100],"earlier":[102],"features":[108],"by":[110],"factor":[112],"around":[114],"10%":[115],"detection.":[118]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}