{"id":"https://openalex.org/W2021286161","doi":"https://doi.org/10.1109/lsp.2013.2237902","title":"A Novel Holistic Modeling Approach for Generalized Sound Recognition","display_name":"A Novel Holistic Modeling Approach for Generalized Sound Recognition","publication_year":2013,"publication_date":"2013-01-04","ids":{"openalex":"https://openalex.org/W2021286161","doi":"https://doi.org/10.1109/lsp.2013.2237902","mag":"2021286161"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2013.2237902","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2013.2237902","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","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/A5013285272","display_name":"Stavros Ntalampiras","orcid":"https://orcid.org/0000-0003-3482-9215"},"institutions":[{"id":"https://openalex.org/I93860229","display_name":"Politecnico di Milano","ror":"https://ror.org/01nffqt88","country_code":"IT","type":"education","lineage":["https://openalex.org/I93860229"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"S. Ntalampiras","raw_affiliation_strings":["Department of Electronics and Information, Politecnico di Milano, Milan, Italy","Dept. of Electron. & Inf., Politec. di Milano, Milan, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Electronics and Information, Politecnico di Milano, Milan, Italy","institution_ids":["https://openalex.org/I93860229"]},{"raw_affiliation_string":"Dept. of Electron. & Inf., Politec. di Milano, Milan, Italy","institution_ids":["https://openalex.org/I93860229"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5013285272"],"corresponding_institution_ids":["https://openalex.org/I93860229"],"apc_list":null,"apc_paid":null,"fwci":0.9576,"has_fulltext":false,"cited_by_count":30,"citation_normalized_percentile":{"value":0.74423099,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"20","issue":"2","first_page":"185","last_page":"188"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":1.0,"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":1.0,"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/T10860","display_name":"Speech and Audio Processing","score":0.9995999932289124,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.995199978351593,"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/hidden-markov-model","display_name":"Hidden Markov model","score":0.7788721323013306},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7500494122505188},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6128929257392883},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5685809850692749},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5611748695373535},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5537124276161194},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5367599129676819},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5161164999008179},{"id":"https://openalex.org/keywords/mixture-model","display_name":"Mixture model","score":0.47083353996276855},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4587898254394531},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.43093883991241455},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3943822681903839},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3874248266220093}],"concepts":[{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.7788721323013306},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7500494122505188},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6128929257392883},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5685809850692749},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5611748695373535},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5537124276161194},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5367599129676819},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5161164999008179},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.47083353996276855},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4587898254394531},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.43093883991241455},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3943822681903839},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3874248266220093},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/lsp.2013.2237902","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2013.2237902","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","raw_type":"journal-article"},{"id":"pmh:oai:re.public.polimi.it:11311/964601","is_oa":false,"landing_page_url":"http://hdl.handle.net/11311/964601","pdf_url":null,"source":{"id":"https://openalex.org/S4306400312","display_name":"Virtual Community of Pathological Anatomy (University of Castilla La Mancha)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79189158","host_organization_name":"University of Castilla-La Mancha","host_organization_lineage":["https://openalex.org/I79189158"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1978274651","https://openalex.org/W2038678505","https://openalex.org/W2041823554","https://openalex.org/W2074188409","https://openalex.org/W2080619776","https://openalex.org/W2100364523","https://openalex.org/W2101261946","https://openalex.org/W2108287924","https://openalex.org/W2115447976","https://openalex.org/W2140745013","https://openalex.org/W2146171479","https://openalex.org/W2153952064","https://openalex.org/W2160424608","https://openalex.org/W4233392025","https://openalex.org/W6675136969"],"related_works":["https://openalex.org/W1527867818","https://openalex.org/W2155089829","https://openalex.org/W2811390910","https://openalex.org/W2146076056","https://openalex.org/W2152494161","https://openalex.org/W2541950815","https://openalex.org/W2144059113","https://openalex.org/W1541505381","https://openalex.org/W3003836766","https://openalex.org/W2096022409"],"abstract_inverted_index":{"Nowadays,":[0],"generalized":[1],"sound":[2],"recognition":[3,111],"technology":[4],"is":[5,23],"constantly":[6],"gaining":[7],"attention":[8],"within":[9],"the":[10,32,52,60,90,93,100,114],"generic":[11],"context":[12],"of":[13,29,40,92],"scene":[14],"analysis":[15],"and":[16,73,107],"understanding":[17],"(smart-home,":[18],"surveillance,":[19],"bioacoustics,":[20],"etc.).":[21],"It":[22],"typically":[24],"achieved":[25],"using":[26],"a":[27,41,78],"set":[28],"relevant":[30],"to":[31,70,105,109],"task":[33],"at":[34],"hand":[35],"descriptors":[36,68],"modelled":[37],"by":[38],"means":[39],"statistical":[42],"tool,":[43],"e.g.,":[44],"hidden":[45],"Markov":[46],"model.":[47],"This":[48],"work":[49],"exhaustively":[50],"applies":[51],"Universal":[53],"Modeling":[54],"(UM)":[55],"(or":[56],"class-independent)":[57],"approach":[58],"on":[59,84],"particular":[61],"task.":[62],"The":[63,95],"feature":[64],"extraction":[65],"engine":[66],"extracts":[67],"belonging":[69],"time,":[71],"frequency":[72],"wavelet":[74],"domains.":[75],"We":[76],"describe":[77],"novel":[79],"data":[80],"selection":[81],"scheme":[82,96],"based":[83],"Gaussian":[85],"mixture":[86],"model":[87],"clustering":[88],"for":[89],"creation":[91],"UM.":[94],"takes":[97],"into":[98],"account":[99],"dataset":[101],"characteristics,":[102],"adapts":[103],"itself":[104],"them":[106],"leads":[108],"higher":[110],"rates":[112],"than":[113],"standard":[115],"UM":[116],"approach.":[117]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
