{"id":"https://openalex.org/W2787484777","doi":"https://doi.org/10.1109/apsipa.2017.8282316","title":"Speech emotion recognition using multichannel parallel convolutional recurrent neural networks based on gammatone auditory filterbank","display_name":"Speech emotion recognition using multichannel parallel convolutional recurrent neural networks based on gammatone auditory filterbank","publication_year":2017,"publication_date":"2017-12-01","ids":{"openalex":"https://openalex.org/W2787484777","doi":"https://doi.org/10.1109/apsipa.2017.8282316","mag":"2787484777"},"language":"en","primary_location":{"id":"doi:10.1109/apsipa.2017.8282316","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apsipa.2017.8282316","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","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/A5009370806","display_name":"Zhichao Peng","orcid":"https://orcid.org/0000-0003-1020-7796"},"institutions":[{"id":"https://openalex.org/I177738480","display_name":"Japan Advanced Institute of Science and Technology","ror":"https://ror.org/03frj4r98","country_code":"JP","type":"education","lineage":["https://openalex.org/I177738480"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Zhichao Peng","raw_affiliation_strings":["School of Computer Science and Technology, Tianjin University, Tianjin, China","School of Information Science, Japan Advanced Institute of Science and Technology, Japan"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Tianjin University, Tianjin, China","institution_ids":[]},{"raw_affiliation_string":"School of Information Science, Japan Advanced Institute of Science and Technology, Japan","institution_ids":["https://openalex.org/I177738480"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089591444","display_name":"Zhi Zhu","orcid":"https://orcid.org/0000-0002-1525-9395"},"institutions":[{"id":"https://openalex.org/I177738480","display_name":"Japan Advanced Institute of Science and Technology","ror":"https://ror.org/03frj4r98","country_code":"JP","type":"education","lineage":["https://openalex.org/I177738480"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Zhi Zhu","raw_affiliation_strings":["School of Information Science, Japan Advanced Institute of Science and Technology, Japan"],"affiliations":[{"raw_affiliation_string":"School of Information Science, Japan Advanced Institute of Science and Technology, Japan","institution_ids":["https://openalex.org/I177738480"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014199725","display_name":"Masashi Unoki","orcid":"https://orcid.org/0000-0002-6605-2052"},"institutions":[{"id":"https://openalex.org/I177738480","display_name":"Japan Advanced Institute of Science and Technology","ror":"https://ror.org/03frj4r98","country_code":"JP","type":"education","lineage":["https://openalex.org/I177738480"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masashi Unoki","raw_affiliation_strings":["School of Information Science, Japan Advanced Institute of Science and Technology, Japan"],"affiliations":[{"raw_affiliation_string":"School of Information Science, Japan Advanced Institute of Science and Technology, Japan","institution_ids":["https://openalex.org/I177738480"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017251198","display_name":"Jianwu Dang","orcid":"https://orcid.org/0000-0002-9237-4821"},"institutions":[{"id":"https://openalex.org/I177738480","display_name":"Japan Advanced Institute of Science and Technology","ror":"https://ror.org/03frj4r98","country_code":"JP","type":"education","lineage":["https://openalex.org/I177738480"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Jianwu Dang","raw_affiliation_strings":["School of Computer Science and Technology, Tianjin University, Tianjin, China","School of Information Science, Japan Advanced Institute of Science and Technology, Japan"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Tianjin University, Tianjin, China","institution_ids":[]},{"raw_affiliation_string":"School of Information Science, Japan Advanced Institute of Science and Technology, Japan","institution_ids":["https://openalex.org/I177738480"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055059119","display_name":"Masato Akagi","orcid":"https://orcid.org/0000-0003-2450-6754"},"institutions":[{"id":"https://openalex.org/I177738480","display_name":"Japan Advanced Institute of Science and Technology","ror":"https://ror.org/03frj4r98","country_code":"JP","type":"education","lineage":["https://openalex.org/I177738480"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masato Akagi","raw_affiliation_strings":["School of Information Science, Japan Advanced Institute of Science and Technology, Japan"],"affiliations":[{"raw_affiliation_string":"School of Information Science, Japan Advanced Institute of Science and Technology, Japan","institution_ids":["https://openalex.org/I177738480"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5009370806"],"corresponding_institution_ids":["https://openalex.org/I177738480"],"apc_list":null,"apc_paid":null,"fwci":2.1083,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.87862162,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1750","last_page":"1755"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9954000115394592,"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":0.982699990272522,"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/computer-science","display_name":"Computer science","score":0.8064764738082886},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.8012557029724121},{"id":"https://openalex.org/keywords/filter-bank","display_name":"Filter bank","score":0.7342708706855774},{"id":"https://openalex.org/keywords/utterance","display_name":"Utterance","score":0.586998701095581},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5732899904251099},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5129194259643555},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.4892456531524658},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.48159119486808777},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4278726577758789},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.41885966062545776},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4176156520843506},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3957388401031494},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.20948201417922974},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.08891233801841736}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8064764738082886},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.8012557029724121},{"id":"https://openalex.org/C100515483","wikidata":"https://www.wikidata.org/wiki/Q3268235","display_name":"Filter bank","level":3,"score":0.7342708706855774},{"id":"https://openalex.org/C2775852435","wikidata":"https://www.wikidata.org/wiki/Q258403","display_name":"Utterance","level":2,"score":0.586998701095581},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5732899904251099},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5129194259643555},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.4892456531524658},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.48159119486808777},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4278726577758789},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.41885966062545776},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4176156520843506},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3957388401031494},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.20948201417922974},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.08891233801841736}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/apsipa.2017.8282316","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apsipa.2017.8282316","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","raw_type":"proceedings-article"},{"id":"pmh:oai:dspace.jaist.ac.jp:10119/18192","is_oa":false,"landing_page_url":"http://hdl.handle.net/10119/18192","pdf_url":null,"source":{"id":"https://openalex.org/S4406922663","display_name":"JAIST Repository","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4300000071525574,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1542280630","https://openalex.org/W1832693441","https://openalex.org/W1904365287","https://openalex.org/W2017282333","https://openalex.org/W2050112415","https://openalex.org/W2055911634","https://openalex.org/W2062663442","https://openalex.org/W2064641533","https://openalex.org/W2074788634","https://openalex.org/W2080289724","https://openalex.org/W2085662862","https://openalex.org/W2087618018","https://openalex.org/W2093174546","https://openalex.org/W2102113734","https://openalex.org/W2181741066","https://openalex.org/W2258695288","https://openalex.org/W2295001676","https://openalex.org/W2399733683","https://openalex.org/W2407379236","https://openalex.org/W2408520939","https://openalex.org/W2507824935","https://openalex.org/W2514017951","https://openalex.org/W2556890590","https://openalex.org/W2571681362","https://openalex.org/W2578895956","https://openalex.org/W2583743457","https://openalex.org/W6675365184","https://openalex.org/W6697498398","https://openalex.org/W6714005173","https://openalex.org/W6714031499"],"related_works":["https://openalex.org/W2529301793","https://openalex.org/W2384121599","https://openalex.org/W2038083449","https://openalex.org/W2333799855","https://openalex.org/W3177678247","https://openalex.org/W1999617572","https://openalex.org/W2944572343","https://openalex.org/W2351687372","https://openalex.org/W2314871050","https://openalex.org/W2383414243"],"abstract_inverted_index":{"Speech":[0],"Emotion":[1],"Recognition":[2],"(SER)":[3],"using":[4,75],"deep":[5,146],"learning":[6,147],"methods":[7],"based":[8,43,149],"on":[9,44,150],"computational":[10],"auditory":[11,15,46,77,152],"models":[12],"of":[13],"human":[14],"system":[16],"is":[17,56,80],"a":[18,83],"new":[19],"way":[20],"to":[21,30,39,89,127,132],"identify":[22,128],"emotional":[23],"state.":[24],"In":[25],"this":[26,54],"paper,":[27],"we":[28],"propose":[29],"utilize":[31],"multichannel":[32,73],"parallel":[33],"convolutional":[34],"recurrent":[35],"neural":[36],"networks":[37],"(MPCRNN)":[38],"extract":[40],"salient":[41],"features":[42,94,113,138],"Gammatone":[45,76,151],"filterbank":[47],"from":[48,98,116],"raw":[49],"waveform":[50],"and":[51,70,120],"reveal":[52],"that":[53],"method":[55],"effective":[57],"for":[58,95,107],"speech":[59,66,109,136],"emotion":[60,96,103,137],"recognition.":[61],"We":[62,100],"first":[63,84],"divide":[64],"the":[65,91,129,133,144],"signal":[67],"into":[68,122],"segments,":[69],"then":[71],"get":[72,90],"data":[74],"filterbank,":[78],"which":[79],"used":[81],"as":[82],"stage":[85],"before":[86],"applying":[87],"MPCRNN":[88],"most":[92],"relevant":[93],"recognition":[97],"speech.":[99],"subsequently":[101],"obtain":[102],"state":[104],"probability":[105,118],"distribution":[106],"each":[108],"segment.":[110],"Eventually,":[111],"utterance-level":[112],"are":[114],"constructed":[115],"segment-level":[117],"distributions":[119],"fed":[121],"support":[123],"vector":[124],"machine":[125],"(SVM)":[126],"emotions.":[130],"According":[131],"experimental":[134],"results,":[135],"can":[139],"be":[140],"effectively":[141],"learned":[142],"utilizing":[143],"proposed":[145],"approach":[148],"filterbank.":[153]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
