{"id":"https://openalex.org/W3104593614","doi":"https://doi.org/10.1007/978-3-030-63830-6_21","title":"Deep Residual Local Feature Learning for Speech Emotion Recognition","display_name":"Deep Residual Local Feature Learning for Speech Emotion Recognition","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3104593614","doi":"https://doi.org/10.1007/978-3-030-63830-6_21","mag":"3104593614"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-030-63830-6_21","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-63830-6_21","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2011.09767","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5032996702","display_name":"Sattaya Singkul","orcid":"https://orcid.org/0000-0001-7335-7105"},"institutions":[{"id":"https://openalex.org/I91538806","display_name":"King Mongkut's Institute of Technology Ladkrabang","ror":"https://ror.org/055mf0v62","country_code":"TH","type":"education","lineage":["https://openalex.org/I91538806"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Sattaya Singkul","raw_affiliation_strings":["Faculty of Information Technology, King Mongkut\u2019s Institute of Technology Ladkrabang, Bangkok, Thailand","Faculty of Information Technology, King Mongkut's Institute of Technology Ladkrabang, Bangkok, Thailand"],"raw_orcid":"https://orcid.org/0000-0001-7335-7105","affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, King Mongkut\u2019s Institute of Technology Ladkrabang, Bangkok, Thailand","institution_ids":["https://openalex.org/I91538806"]},{"raw_affiliation_string":"Faculty of Information Technology, King Mongkut's Institute of Technology Ladkrabang, Bangkok, Thailand","institution_ids":["https://openalex.org/I91538806"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083268330","display_name":"Thakorn Chatchaisathaporn","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Thakorn Chatchaisathaporn","raw_affiliation_strings":["Data Analytics, Siam Commercial Bank, Bangkok, Thailand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Data Analytics, Siam Commercial Bank, Bangkok, Thailand","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009134882","display_name":"Boontawee Suntisrivaraporn","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Boontawee Suntisrivaraporn","raw_affiliation_strings":["Data Analytics, Siam Commercial Bank, Bangkok, Thailand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Data Analytics, Siam Commercial Bank, Bangkok, Thailand","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002828719","display_name":"Kuntpong Woraratpanya","orcid":"https://orcid.org/0000-0002-8337-4563"},"institutions":[{"id":"https://openalex.org/I91538806","display_name":"King Mongkut's Institute of Technology Ladkrabang","ror":"https://ror.org/055mf0v62","country_code":"TH","type":"education","lineage":["https://openalex.org/I91538806"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Kuntpong Woraratpanya","raw_affiliation_strings":["Faculty of Information Technology, King Mongkut\u2019s Institute of Technology Ladkrabang, Bangkok, Thailand","Faculty of Information Technology, King Mongkut's Institute of Technology Ladkrabang, Bangkok, Thailand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, King Mongkut\u2019s Institute of Technology Ladkrabang, Bangkok, Thailand","institution_ids":["https://openalex.org/I91538806"]},{"raw_affiliation_string":"Faculty of Information Technology, King Mongkut's Institute of Technology Ladkrabang, Bangkok, Thailand","institution_ids":["https://openalex.org/I91538806"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":6.0728,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.96689155,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"241","last_page":"252"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9991999864578247,"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":0.9991999864578247,"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":0.9987000226974487,"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/T11309","display_name":"Music and Audio Processing","score":0.9972000122070312,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7962543964385986},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7452901005744934},{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.7286932468414307},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.7176782488822937},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6748231649398804},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.5865702629089355},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"Multilayer perceptron","score":0.5759716629981995},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5369062423706055},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4963305592536926},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.49519672989845276},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.47717252373695374},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4003852903842926},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3772260546684265},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3611147701740265},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1612144410610199},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08893370628356934}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7962543964385986},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7452901005744934},{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.7286932468414307},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.7176782488822937},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6748231649398804},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.5865702629089355},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.5759716629981995},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5369062423706055},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4963305592536926},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.49519672989845276},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.47717252373695374},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4003852903842926},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3772260546684265},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3611147701740265},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1612144410610199},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08893370628356934},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/978-3-030-63830-6_21","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-63830-6_21","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},{"id":"pmh:oai:arXiv.org:2011.09767","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2011.09767","pdf_url":"https://arxiv.org/pdf/2011.09767","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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:2011.09767","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2011.09767","pdf_url":"https://arxiv.org/pdf/2011.09767","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W175750906","https://openalex.org/W1999395714","https://openalex.org/W2005445667","https://openalex.org/W2042700175","https://openalex.org/W2045037873","https://openalex.org/W2055911634","https://openalex.org/W2064641533","https://openalex.org/W2071954570","https://openalex.org/W2074657431","https://openalex.org/W2074788634","https://openalex.org/W2080576537","https://openalex.org/W2092718714","https://openalex.org/W2095378392","https://openalex.org/W2111692385","https://openalex.org/W2157297238","https://openalex.org/W2194775991","https://openalex.org/W2299124942","https://openalex.org/W2300860047","https://openalex.org/W2302255633","https://openalex.org/W2397082594","https://openalex.org/W2468993375","https://openalex.org/W2523168882","https://openalex.org/W2539049645","https://openalex.org/W2552348884","https://openalex.org/W2604290265","https://openalex.org/W2783043661","https://openalex.org/W2800448574","https://openalex.org/W2803193013","https://openalex.org/W2810637193","https://openalex.org/W2889717020","https://openalex.org/W2936774411","https://openalex.org/W2995902718","https://openalex.org/W2996052604","https://openalex.org/W3009725011","https://openalex.org/W3141819983","https://openalex.org/W4254268654"],"related_works":["https://openalex.org/W4295815739","https://openalex.org/W2915512385","https://openalex.org/W2150029999","https://openalex.org/W2076543106","https://openalex.org/W2523437662","https://openalex.org/W89844371","https://openalex.org/W2019891950","https://openalex.org/W2085842814","https://openalex.org/W4286643620","https://openalex.org/W4387048144"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":4},{"year":2020,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}