{"id":"https://openalex.org/W3046065781","doi":"https://doi.org/10.1109/iwcmc48107.2020.9148117","title":"Speech Interactive Emotion Recognition System Based on Random Forest","display_name":"Speech Interactive Emotion Recognition System Based on Random Forest","publication_year":2020,"publication_date":"2020-06-01","ids":{"openalex":"https://openalex.org/W3046065781","doi":"https://doi.org/10.1109/iwcmc48107.2020.9148117","mag":"3046065781"},"language":"en","primary_location":{"id":"doi:10.1109/iwcmc48107.2020.9148117","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwcmc48107.2020.9148117","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Wireless Communications and Mobile Computing (IWCMC)","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/A5101117638","display_name":"Susu Yan","orcid":null},"institutions":[{"id":"https://openalex.org/I100188998","display_name":"Harbin University of Science and Technology","ror":"https://ror.org/04e6y1282","country_code":"CN","type":"education","lineage":["https://openalex.org/I100188998"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Susu Yan","raw_affiliation_strings":["School of Software and Micro Electronics, Harbin University of Science and Technology, Harbin, China"],"affiliations":[{"raw_affiliation_string":"School of Software and Micro Electronics, Harbin University of Science and Technology, Harbin, China","institution_ids":["https://openalex.org/I100188998"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100384382","display_name":"Liang Ye","orcid":"https://orcid.org/0000-0002-8218-3079"},"institutions":[{"id":"https://openalex.org/I1302611135","display_name":"Ministry of Public Security of the People's Republic of China","ror":"https://ror.org/00bt9we26","country_code":"CN","type":"government","lineage":["https://openalex.org/I1302611135"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Ye","raw_affiliation_strings":["Key Laboratory of Police Wireless Digital Communication, Ministry of Public Security, P.R.C., Harbin, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Police Wireless Digital Communication, Ministry of Public Security, P.R.C., Harbin, China","institution_ids":["https://openalex.org/I1302611135"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026973164","display_name":"Shuai Han","orcid":"https://orcid.org/0000-0001-9606-3476"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuai Han","raw_affiliation_strings":["Department of Information and Communication Engineering, Harbin Institute of Technology, Harbin, China"],"affiliations":[{"raw_affiliation_string":"Department of Information and Communication Engineering, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110197202","display_name":"Tian Han","orcid":null},"institutions":[{"id":"https://openalex.org/I98381234","display_name":"University of Oulu","ror":"https://ror.org/03yj89h83","country_code":"FI","type":"education","lineage":["https://openalex.org/I98381234"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Tian Han","raw_affiliation_strings":["Health and Wellness Measurement research group, OPEM unit, University of Oulu, Oulu, Finland"],"affiliations":[{"raw_affiliation_string":"Health and Wellness Measurement research group, OPEM unit, University of Oulu, Oulu, Finland","institution_ids":["https://openalex.org/I98381234"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100733781","display_name":"Yue Li","orcid":"https://orcid.org/0000-0002-8880-9773"},"institutions":[{"id":"https://openalex.org/I55022517","display_name":"Heilongjiang University","ror":"https://ror.org/04zyhq975","country_code":"CN","type":"education","lineage":["https://openalex.org/I55022517"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Li","raw_affiliation_strings":["Electrical Engineering School, Heilongjiang University, Harbin, China"],"affiliations":[{"raw_affiliation_string":"Electrical Engineering School, Heilongjiang University, Harbin, China","institution_ids":["https://openalex.org/I55022517"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109308060","display_name":"Esko Alasaarela","orcid":null},"institutions":[{"id":"https://openalex.org/I98381234","display_name":"University of Oulu","ror":"https://ror.org/03yj89h83","country_code":"FI","type":"education","lineage":["https://openalex.org/I98381234"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Esko Alasaarela","raw_affiliation_strings":["Health and Wellness Measurement research group, OPEM unit, University of Oulu, Oulu, Finland"],"affiliations":[{"raw_affiliation_string":"Health and Wellness Measurement research group, OPEM unit, University of Oulu, Oulu, Finland","institution_ids":["https://openalex.org/I98381234"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5101117638"],"corresponding_institution_ids":["https://openalex.org/I100188998"],"apc_list":null,"apc_paid":null,"fwci":2.3917,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.88831275,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1458","last_page":"1462"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9929999709129333,"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":0.9929999709129333,"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":0.9692000150680542,"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/T10057","display_name":"Face and Expression Recognition","score":0.9668999910354614,"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/random-forest","display_name":"Random forest","score":0.8735908269882202},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7672857046127319},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.7392033338546753},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.710106372833252},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6585116386413574},{"id":"https://openalex.org/keywords/emotion-recognition","display_name":"Emotion recognition","score":0.5669661164283752},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4820500314235687},{"id":"https://openalex.org/keywords/emotion-classification","display_name":"Emotion classification","score":0.47598305344581604},{"id":"https://openalex.org/keywords/voice-activity-detection","display_name":"Voice activity detection","score":0.45197367668151855},{"id":"https://openalex.org/keywords/speech-processing","display_name":"Speech processing","score":0.44974803924560547},{"id":"https://openalex.org/keywords/mel-frequency-cepstrum","display_name":"Mel-frequency cepstrum","score":0.44546806812286377},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37109655141830444},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.3653671145439148}],"concepts":[{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.8735908269882202},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7672857046127319},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.7392033338546753},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.710106372833252},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6585116386413574},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.5669661164283752},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4820500314235687},{"id":"https://openalex.org/C206310091","wikidata":"https://www.wikidata.org/wiki/Q750859","display_name":"Emotion classification","level":2,"score":0.47598305344581604},{"id":"https://openalex.org/C204201278","wikidata":"https://www.wikidata.org/wiki/Q1332614","display_name":"Voice activity detection","level":3,"score":0.45197367668151855},{"id":"https://openalex.org/C61328038","wikidata":"https://www.wikidata.org/wiki/Q3358061","display_name":"Speech processing","level":2,"score":0.44974803924560547},{"id":"https://openalex.org/C151989614","wikidata":"https://www.wikidata.org/wiki/Q440370","display_name":"Mel-frequency cepstrum","level":3,"score":0.44546806812286377},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37109655141830444},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3653671145439148}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/iwcmc48107.2020.9148117","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwcmc48107.2020.9148117","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Wireless Communications and Mobile Computing (IWCMC)","raw_type":"proceedings-article"},{"id":"pmh:oai:oulu.fi:nbnfi-fe2020111189902","is_oa":false,"landing_page_url":"http://urn.fi/urn:nbn:fi-fe2020111189902","pdf_url":null,"source":{"id":"https://openalex.org/S4306400284","display_name":"University of Oulu Repository (University of Oulu)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I98381234","host_organization_name":"University of Oulu","host_organization_lineage":["https://openalex.org/I98381234"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1993267429","https://openalex.org/W2087618018","https://openalex.org/W2128171688","https://openalex.org/W2144264893","https://openalex.org/W2145377079","https://openalex.org/W2146948596","https://openalex.org/W2580682631","https://openalex.org/W2747506362","https://openalex.org/W2804779313","https://openalex.org/W2895203516"],"related_works":["https://openalex.org/W1549141376","https://openalex.org/W3126677997","https://openalex.org/W2169648905","https://openalex.org/W3134880260","https://openalex.org/W2061900096","https://openalex.org/W2888457666","https://openalex.org/W2953493266","https://openalex.org/W642007152","https://openalex.org/W1550318927","https://openalex.org/W2401827384"],"abstract_inverted_index":{"In":[0,33],"daily":[1],"life,":[2],"speech":[3,42,60,76,85,144],"is":[4,14,47,123,132,139],"the":[5,19,27,31,55,58,74,81,92,107,112,120,128,135,143],"main":[6],"medium":[7],"of":[8,41,84,99,119,127],"human":[9],"communication,":[10],"and":[11,111],"interpersonal":[12],"communication":[13],"emotional.":[15],"People":[16],"hope":[17],"that":[18],"computer":[20],"can":[21],"give":[22],"a":[23,38,50],"response":[24],"based":[25,48],"on":[26,49],"emotions":[28],"contained":[29],"in":[30,62],"voice.":[32],"this":[34],"paper,":[35],"we":[36],"build":[37,142],"Wechat":[39],"program":[40],"emotion":[43,145],"recognition":[44,117,146],"system,":[45],"which":[46],"random":[51,129,136],"forest":[52,130,137],"classifier.":[53],"Firstly,":[54],"system":[56,79],"preprocesses":[57],"collected":[59],"signals":[61],"order":[63],"to":[64,91,141],"reduce":[65],"noise.":[66],"Secondly,":[67],"16":[68],"acoustic":[69,94],"features":[70,83],"are":[71],"extracted":[72],"from":[73],"pre-processed":[75],"signals.":[77],"The":[78,96,116,125],"obtains":[80],"emotional":[82,97],"by":[86],"applying":[87],"12":[88],"statistical":[89],"functions":[90],"original":[93],"features.":[95],"classification":[98],"Berlin":[100],"Speech":[101],"Emotion":[102],"Database":[103],"uses":[104],"two":[105],"classifiers:":[106],"Random":[108],"Forest":[109],"Classifier":[110],"Support":[113],"Vector":[114],"Machine.":[115],"accuracy":[118,126],"SVM":[121],"classifier":[122,131,138],"83%.":[124],"89%.":[133],"Finally,":[134],"used":[140],"system.":[147]},"counts_by_year":[{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
