{"id":"https://openalex.org/W4403059234","doi":"https://doi.org/10.1109/taslp.2024.3473302","title":"RISC: A Corpus for Shout Type Classification and Shout Intensity Prediction","display_name":"RISC: A Corpus for Shout Type Classification and Shout Intensity Prediction","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4403059234","doi":"https://doi.org/10.1109/taslp.2024.3473302"},"language":"en","primary_location":{"id":"doi:10.1109/taslp.2024.3473302","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taslp.2024.3473302","pdf_url":null,"source":{"id":"https://openalex.org/S4210169297","display_name":"IEEE/ACM Transactions on Audio Speech and Language Processing","issn_l":"2329-9290","issn":["2329-9290","2329-9304"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/ACM Transactions on Audio, Speech, and Language Processing","raw_type":"journal-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/A5051293207","display_name":"Takahiro Fukumori","orcid":"https://orcid.org/0000-0002-4317-9704"},"institutions":[{"id":"https://openalex.org/I135768898","display_name":"Ritsumeikan University","ror":"https://ror.org/0197nmd03","country_code":"JP","type":"education","lineage":["https://openalex.org/I135768898","https://openalex.org/I4390039241"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Takahiro Fukumori","raw_affiliation_strings":["College of Information Science and Engineering, Ritsumeikan University, Osaka, Japan"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Ritsumeikan University, Osaka, Japan","institution_ids":["https://openalex.org/I135768898"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100571656","display_name":"Taito Ishida","orcid":null},"institutions":[{"id":"https://openalex.org/I135768898","display_name":"Ritsumeikan University","ror":"https://ror.org/0197nmd03","country_code":"JP","type":"education","lineage":["https://openalex.org/I135768898","https://openalex.org/I4390039241"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Taito Ishida","raw_affiliation_strings":["Graduate School of Information Science and Engineering, Ritsumeikan University, Osaka, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science and Engineering, Ritsumeikan University, Osaka, Japan","institution_ids":["https://openalex.org/I135768898"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103048025","display_name":"Yoichi Yamashita","orcid":"https://orcid.org/0000-0001-5379-9686"},"institutions":[{"id":"https://openalex.org/I135768898","display_name":"Ritsumeikan University","ror":"https://ror.org/0197nmd03","country_code":"JP","type":"education","lineage":["https://openalex.org/I135768898","https://openalex.org/I4390039241"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yoichi Yamashita","raw_affiliation_strings":["College of Information Science and Engineering, Ritsumeikan University, Osaka, Japan"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Ritsumeikan University, Osaka, Japan","institution_ids":["https://openalex.org/I135768898"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5051293207"],"corresponding_institution_ids":["https://openalex.org/I135768898"],"apc_list":null,"apc_paid":null,"fwci":0.7252,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.76467645,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"32","issue":null,"first_page":"4434","last_page":"4444"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9416000247001648,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9416000247001648,"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/intensity","display_name":"Intensity (physics)","score":0.5548643469810486},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4348664879798889},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1044621467590332}],"concepts":[{"id":"https://openalex.org/C93038891","wikidata":"https://www.wikidata.org/wiki/Q1061524","display_name":"Intensity (physics)","level":2,"score":0.5548643469810486},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4348664879798889},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1044621467590332},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/taslp.2024.3473302","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taslp.2024.3473302","pdf_url":null,"source":{"id":"https://openalex.org/S4210169297","display_name":"IEEE/ACM Transactions on Audio Speech and Language Processing","issn_l":"2329-9290","issn":["2329-9290","2329-9304"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/ACM Transactions on Audio, Speech, and Language Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7099999785423279,"id":"https://metadata.un.org/sdg/13","display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W821549425","https://openalex.org/W1844944916","https://openalex.org/W1974387177","https://openalex.org/W2022895291","https://openalex.org/W2054433708","https://openalex.org/W2060171943","https://openalex.org/W2065869176","https://openalex.org/W2080278484","https://openalex.org/W2087779800","https://openalex.org/W2096672501","https://openalex.org/W2146163615","https://openalex.org/W2160335114","https://openalex.org/W2170068989","https://openalex.org/W2398313355","https://openalex.org/W2398932003","https://openalex.org/W2566935005","https://openalex.org/W2579555219","https://openalex.org/W2695712842","https://openalex.org/W2734691436","https://openalex.org/W2765177038","https://openalex.org/W2767035468","https://openalex.org/W2775794021","https://openalex.org/W2785952417","https://openalex.org/W2793307691","https://openalex.org/W2797833340","https://openalex.org/W2802488037","https://openalex.org/W2806282362","https://openalex.org/W2883409523","https://openalex.org/W2895776009","https://openalex.org/W2899116516","https://openalex.org/W2916566113","https://openalex.org/W2977536200","https://openalex.org/W3007267003","https://openalex.org/W3015579786","https://openalex.org/W3049495163","https://openalex.org/W3089317739","https://openalex.org/W3090169026","https://openalex.org/W3094269141","https://openalex.org/W3109196171","https://openalex.org/W3134281761","https://openalex.org/W3158929093","https://openalex.org/W3178592608","https://openalex.org/W3195797337","https://openalex.org/W3197276571","https://openalex.org/W3197903945","https://openalex.org/W4200500401","https://openalex.org/W4366851110","https://openalex.org/W6630111507","https://openalex.org/W6631190155","https://openalex.org/W6779469704"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2382290278","https://openalex.org/W4395014643"],"abstract_inverted_index":{"The":[0,147,170],"detection":[1],"of":[2,56,71,96],"shouted":[3,34,97,105],"speech":[4,39,98,106,137],"is":[5,14,115,168,187],"crucial":[6],"in":[7,101,108,194],"audio":[8],"surveillance":[9],"and":[10,114,141,157,178,185],"monitoring.":[11],"Although":[12],"it":[13,42],"desirable":[15],"for":[16,37,136],"a":[17,30,82,111,122,128,142],"security":[18],"system":[19],"to":[20,23,44,64,189,191],"be":[21],"able":[22],"identify":[24],"emergencies,":[25],"existing":[26],"corpora":[27,51],"provide":[28],"only":[29,53],"binary":[31],"label":[32],"(i.e.,":[33],"or":[35],"normal)":[36],"each":[38],"sample,":[40],"making":[41],"difficult":[43],"predict":[45],"the":[46,86,155],"shout":[47,112,118,143,175],"intensity.":[48],"Furthermore,":[49],"most":[50],"comprise":[52],"utterances":[54,67],"typical":[55,70],"hazardous":[57,73],"situations,":[58],"meaning":[59],"that":[60,150,174],"classifiers":[61],"cannot":[62],"learn":[63],"discriminate":[65],"such":[66,75],"from":[68],"shouts":[69],"less":[72],"situations":[74],"as":[76],"cheers.":[77],"Thus,":[78],"this":[79,195],"paper":[80],"presents":[81],"novel":[83],"research":[84,196],"source,":[85],"RItsumeikan":[87],"Shout":[88],"Corpus":[89],"(RISC),":[90],"which":[91,165],"contains":[92],"wide":[93],"variety":[94],"types":[95],"samples":[99],"collected":[100],"recording":[102],"experiments.":[103],"Each":[104],"sample":[107],"RISC":[109,186],"has":[110],"type":[113,138,176],"also":[116,126,172],"assigned":[117],"intensity":[119,144,179],"ratings":[120],"via":[121],"crowdsourcing":[123],"service.":[124],"We":[125],"present":[127],"comprehensive":[129],"performance":[130],"comparison":[131],"among":[132],"deep":[133],"learning":[134,152],"approaches":[135],"classification":[139,177],"tasks":[140],"prediction":[145,180],"task.":[146],"results":[148,171],"show":[149],"feature":[151],"based":[153],"on":[154],"spectral":[156],"cepstral":[158],"domains":[159],"achieves":[160],"high":[161],"performance,":[162],"no":[163],"matter":[164],"network":[166],"architecture":[167],"used.":[169],"demonstrate":[173],"are":[181],"still":[182],"challenging":[183],"tasks,":[184],"expected":[188],"contribute":[190],"further":[192],"development":[193],"area.":[197]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}