{"id":"https://openalex.org/W2594863811","doi":"https://doi.org/10.1109/icassp.2017.7953135","title":"Biologically inspired speech emotion recognition","display_name":"Biologically inspired speech emotion recognition","publication_year":2017,"publication_date":"2017-03-01","ids":{"openalex":"https://openalex.org/W2594863811","doi":"https://doi.org/10.1109/icassp.2017.7953135","mag":"2594863811"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2017.7953135","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2017.7953135","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2111.08112","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5075959406","display_name":"Reza Lotfidereshgi","orcid":null},"institutions":[{"id":"https://openalex.org/I135117807","display_name":"Universit\u00e9 de Sherbrooke","ror":"https://ror.org/00kybxq39","country_code":"CA","type":"education","lineage":["https://openalex.org/I135117807"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Reza Lotfidereshgi","raw_affiliation_strings":["Speech and Audio Research Group, Universit\u00e9 de Sherbrooke, Sherbrooke, Qu\u00e9bec, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Speech and Audio Research Group, Universit\u00e9 de Sherbrooke, Sherbrooke, Qu\u00e9bec, Canada","institution_ids":["https://openalex.org/I135117807"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011508393","display_name":"Philippe Gournay","orcid":null},"institutions":[{"id":"https://openalex.org/I135117807","display_name":"Universit\u00e9 de Sherbrooke","ror":"https://ror.org/00kybxq39","country_code":"CA","type":"education","lineage":["https://openalex.org/I135117807"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Philippe Gournay","raw_affiliation_strings":["Speech and Audio Research Group, Universit\u00e9 de Sherbrooke, Sherbrooke, Qu\u00e9bec, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Speech and Audio Research Group, Universit\u00e9 de Sherbrooke, Sherbrooke, Qu\u00e9bec, Canada","institution_ids":["https://openalex.org/I135117807"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I135117807"],"apc_list":null,"apc_paid":null,"fwci":2.3537,"has_fulltext":false,"cited_by_count":57,"citation_normalized_percentile":{"value":0.92014282,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"5135","last_page":"5139"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.9998999834060669,"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/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.9998999834060669,"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/T10581","display_name":"Neural dynamics and brain function","score":0.9988999962806702,"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"}},{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.998199999332428,"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":0.7736972570419312},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.71686190366745},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6652260422706604},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6511319875717163},{"id":"https://openalex.org/keywords/speech-processing","display_name":"Speech processing","score":0.6119210720062256},{"id":"https://openalex.org/keywords/vocal-tract","display_name":"Vocal tract","score":0.5241520404815674},{"id":"https://openalex.org/keywords/voice-activity-detection","display_name":"Voice activity detection","score":0.516014814376831},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5039898753166199},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.49279382824897766},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.47787466645240784},{"id":"https://openalex.org/keywords/speech-production","display_name":"Speech production","score":0.4696506857872009},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45839935541152954},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.45547130703926086},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.43578991293907166},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.4120742380619049},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.190923273563385}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7736972570419312},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.71686190366745},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6652260422706604},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6511319875717163},{"id":"https://openalex.org/C61328038","wikidata":"https://www.wikidata.org/wiki/Q3358061","display_name":"Speech processing","level":2,"score":0.6119210720062256},{"id":"https://openalex.org/C47401133","wikidata":"https://www.wikidata.org/wiki/Q748953","display_name":"Vocal tract","level":2,"score":0.5241520404815674},{"id":"https://openalex.org/C204201278","wikidata":"https://www.wikidata.org/wiki/Q1332614","display_name":"Voice activity detection","level":3,"score":0.516014814376831},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5039898753166199},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.49279382824897766},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.47787466645240784},{"id":"https://openalex.org/C43617652","wikidata":"https://www.wikidata.org/wiki/Q7575399","display_name":"Speech production","level":2,"score":0.4696506857872009},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45839935541152954},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.45547130703926086},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.43578991293907166},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.4120742380619049},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.190923273563385},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icassp.2017.7953135","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2017.7953135","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2111.08112","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2111.08112","pdf_url":"https://arxiv.org/pdf/2111.08112","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2111.08112","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2111.08112","pdf_url":"https://arxiv.org/pdf/2111.08112","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.5099999904632568}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W117575481","https://openalex.org/W129817288","https://openalex.org/W175750906","https://openalex.org/W1558306184","https://openalex.org/W1576180489","https://openalex.org/W1985177547","https://openalex.org/W2068247585","https://openalex.org/W2074788634","https://openalex.org/W2080576537","https://openalex.org/W2110240734","https://openalex.org/W2117505065","https://openalex.org/W2127411502","https://openalex.org/W2131764799","https://openalex.org/W2158791827","https://openalex.org/W2171865010","https://openalex.org/W2192565771","https://openalex.org/W2281534628","https://openalex.org/W2399733683","https://openalex.org/W2401887077","https://openalex.org/W4206319965","https://openalex.org/W6634179558","https://openalex.org/W6679189137","https://openalex.org/W6695620337"],"related_works":["https://openalex.org/W2082000062","https://openalex.org/W4234201046","https://openalex.org/W2058733683","https://openalex.org/W2150243332","https://openalex.org/W2804836678","https://openalex.org/W953964455","https://openalex.org/W2010642486","https://openalex.org/W1445695360","https://openalex.org/W2120882262","https://openalex.org/W2621968591"],"abstract_inverted_index":{"Conventional":[0],"feature-based":[1],"classification":[2,145],"methods":[3],"do":[4],"not":[5,36],"apply":[6],"well":[7],"to":[8,27,133,141],"automatic":[9],"recognition":[10],"of":[11,19,32,57,66,71,77,97,120,124,151],"speech":[12,50,73,99,168],"emotions,":[13],"mostly":[14],"because":[15],"the":[16,29,49,54,64,67,78,98,148],"precise":[17],"set":[18],"spectral":[20,109],"and":[21,93,104,131],"prosodic":[22],"features":[23],"that":[24,45],"is":[25,127,139],"required":[26],"identify":[28],"emotional":[30],"state":[31,82],"a":[33,43,85,134,157],"speaker":[34],"has":[35],"been":[37],"determined":[38],"yet.":[39],"This":[40,137,155],"paper":[41],"presents":[42],"method":[44,62,138],"operates":[46],"directly":[47],"on":[48,147],"signal,":[51],"thus":[52],"avoiding":[53],"problematic":[55],"step":[56],"feature":[58],"extraction.":[59],"Furthermore,":[60],"this":[61],"combines":[63],"strengths":[65],"classical":[68],"source-filter":[69],"model":[70],"human":[72],"production":[74],"with":[75],"those":[76],"recently":[79],"introduced":[80],"liquid":[81],"machine":[83],"(LSM),":[84],"biologically-inspired":[86],"spiking":[87],"neural":[88],"network":[89],"(SNN).":[90],"The":[91,122],"source":[92],"vocal":[94],"tract":[95],"components":[96],"signal":[100],"are":[101,113],"first":[102],"separated":[103],"converted":[105],"into":[106],"perceptually":[107],"relevant":[108],"representations.":[110],"These":[111],"representations":[112],"then":[114],"processed":[115],"separately":[116],"by":[117],"two":[118],"reservoirs":[119],"neurons.":[121],"output":[123],"each":[125],"reservoir":[126],"reduced":[128],"in":[129,167],"dimensionality":[130],"fed":[132],"final":[135],"classifier.":[136],"shown":[140],"provide":[142],"very":[143,158],"good":[144],"performance":[146],"Berlin":[149],"Database":[150],"Emotional":[152],"Speech":[153],"(Emo-DB).":[154],"seems":[156],"promising":[159],"framework":[160],"for":[161],"solving":[162],"efficiently":[163],"many":[164],"other":[165],"problems":[166],"processing.":[169]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":12},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":8},{"year":2018,"cited_by_count":2}],"updated_date":"2026-08-05T07:39:15.569665","created_date":"2025-10-10T00:00:00"}
