{"id":"https://openalex.org/W2773357023","doi":"https://doi.org/10.18420/in2017_217","title":"Acoustic Event Classification Using Convolutional Neural Networks","display_name":"Acoustic Event Classification Using Convolutional Neural Networks","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2773357023","doi":"https://doi.org/10.18420/in2017_217","mag":"2773357023"},"language":"en","primary_location":{"id":"doi:10.18420/in2017_217","is_oa":true,"landing_page_url":"https://doi.org/10.18420/in2017_217","pdf_url":null,"source":{"id":"https://openalex.org/S7407052918","display_name":"Gesellschaft f\u00fcr Informatik (GI)","issn_l":null,"issn":[],"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":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article-journal"},"type":"article","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.18420/in2017_217","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5007734172","display_name":"Stefan Kahl","orcid":"https://orcid.org/0000-0002-2411-8877"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Kahl, Stefan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005660137","display_name":"Hussein Hussein","orcid":"https://orcid.org/0000-0002-8417-3835"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hussein, Hussein","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014703988","display_name":"Etienne Fabian","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fabian, Etienne","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011762589","display_name":"Jan Schlo\u00dfhauer","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Schlo\u00dfhauer, Jan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052467302","display_name":"Enniyan Thangaraju","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Thangaraju, Enniyan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038259339","display_name":"Danny Kowerko","orcid":"https://orcid.org/0000-0002-4538-7814"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kowerko, Danny","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5071056491","display_name":"Maximilian Eibl","orcid":"https://orcid.org/0000-0002-9519-2708"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Eibl, Maximilian","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5007734172"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3698,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.59801283,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"2177","last_page":"2188"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.947700023651123,"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"}},"topics":[{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.947700023651123,"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/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6234256625175476},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6153014302253723},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.58698970079422},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.533197820186615},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3682807981967926}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6234256625175476},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6153014302253723},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.58698970079422},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.533197820186615},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3682807981967926},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.18420/in2017_217","is_oa":true,"landing_page_url":"https://doi.org/10.18420/in2017_217","pdf_url":null,"source":{"id":"https://openalex.org/S7407052918","display_name":"Gesellschaft f\u00fcr Informatik (GI)","issn_l":null,"issn":[],"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":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"},{"id":"mag:2773357023","is_oa":false,"landing_page_url":"https://dblp.uni-trier.de/db/conf/gi/gi2017.html#KahlHFSTKE17","pdf_url":null,"source":{"id":"https://openalex.org/S4306511462","display_name":"GI-Jahrestagung","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"GI-Jahrestagung","raw_type":null}],"best_oa_location":{"id":"doi:10.18420/in2017_217","is_oa":true,"landing_page_url":"https://doi.org/10.18420/in2017_217","pdf_url":null,"source":{"id":"https://openalex.org/S7407052918","display_name":"Gesellschaft f\u00fcr Informatik (GI)","issn_l":null,"issn":[],"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":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article-journal"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W3090892383","https://openalex.org/W2910087333","https://openalex.org/W2896806605","https://openalex.org/W3027046717","https://openalex.org/W3196131224","https://openalex.org/W3112242422","https://openalex.org/W3195442779","https://openalex.org/W3037929211","https://openalex.org/W2904842029","https://openalex.org/W2468717959","https://openalex.org/W3024867955","https://openalex.org/W2069309341","https://openalex.org/W3094640621","https://openalex.org/W2774397131","https://openalex.org/W2283213845","https://openalex.org/W2245021370","https://openalex.org/W2904536042","https://openalex.org/W3062042745","https://openalex.org/W2170186213","https://openalex.org/W2981606360"],"abstract_inverted_index":{"The":[0],"classification":[1,25,67],"of":[2,13,32,83,89,108,153],"human-made":[3],"acoustic":[4,23,38,65,102,116,126,154],"events":[5,39,43,117,127],"is":[6],"important":[7],"for":[8,26,44,64,80,101],"the":[9,27,30,81,151],"monitoring":[10],"and":[11,74,114,138],"recognition":[12],"human":[14,137],"activities":[15],"or":[16,46,55],"critical":[17,42],"behavior.":[18],"In":[19],"our":[20,62],"experiments":[21],"on":[22],"event":[24,66,103,155],"utilization":[28],"in":[29,50,57,93,131,150],"sector":[31],"health":[33],"care,":[34],"we":[35],"defined":[36],"different":[37,125,133],"which":[40,128],"represent":[41],"elderly":[45],"people":[47],"with":[48],"disabilities":[49],"ambient":[51],"assisted":[52],"living":[53],"environments":[54],"patients":[56],"hospitals.":[58],"This":[59],"contribution":[60],"presents":[61],"work":[63],"using":[68],"deep":[69,84],"learning":[70],"techniques.":[71],"We":[72,105],"implemented":[73],"trained":[75],"various":[76],"convolutional":[77,146],"neural":[78,94,147],"networks":[79,148],"extraction":[82],"feature":[85],"vectors":[86],"making":[87],"use":[88],"current":[90],"best":[91],"practices":[92],"network":[95],"design":[96],"to":[97],"establish":[98],"a":[99],"baseline":[100],"classification.":[104,156],"convert":[106],"chunks":[107],"audio":[109],"signals":[110],"into":[111],"magnitude":[112],"spectrograms":[113],"treat":[115],"as":[118],"images.":[119],"Our":[120,141],"data":[121],"set":[122],"contains":[123],"20":[124],"were":[129],"collected":[130],"two":[132],"recording":[134],"sessions":[135],"combining":[136],"environmental":[139],"sounds.":[140],"results":[142],"demonstrate":[143],"how":[144],"efficient":[145],"perform":[149],"domain":[152]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T06:51:31.235846","created_date":"2025-10-10T00:00:00"}