{"id":"https://openalex.org/W2101680822","doi":"https://doi.org/10.1109/icassp.2002.5743772","title":"Speech analysis and feature extraction using chaotic models","display_name":"Speech analysis and feature extraction using chaotic models","publication_year":2002,"publication_date":"2002-05-01","ids":{"openalex":"https://openalex.org/W2101680822","doi":"https://doi.org/10.1109/icassp.2002.5743772","mag":"2101680822"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2002.5743772","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2002.5743772","pdf_url":null,"source":{"id":"https://openalex.org/S4363607879","display_name":"IEEE International Conference on Acoustics Speech and Signal Processing","issn_l":null,"issn":null,"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE International Conference on Acoustics Speech and Signal Processing","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://doi.org/10.1109/ICASSP.2002.5743772","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5040922549","display_name":"Vassilis Pitsikalis","orcid":"https://orcid.org/0000-0002-1593-7491"},"institutions":[{"id":"https://openalex.org/I174458059","display_name":"National Technical University of Athens","ror":"https://ror.org/03cx6bg69","country_code":"GR","type":"education","lineage":["https://openalex.org/I174458059"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Vassilis Pitsikalis","raw_affiliation_strings":["Department of Electrical & Computer Engineering, National and Technical University of Athens, Athens, Greece","Dept. of Electrical & Computer Engineering, National Technical University of Athens, Zografou, 15773, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical & Computer Engineering, National and Technical University of Athens, Athens, Greece","institution_ids":["https://openalex.org/I174458059"]},{"raw_affiliation_string":"Dept. of Electrical & Computer Engineering, National Technical University of Athens, Zografou, 15773, Greece","institution_ids":["https://openalex.org/I174458059"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079243420","display_name":"Petros Maragos","orcid":"https://orcid.org/0000-0003-0534-2707"},"institutions":[{"id":"https://openalex.org/I174458059","display_name":"National Technical University of Athens","ror":"https://ror.org/03cx6bg69","country_code":"GR","type":"education","lineage":["https://openalex.org/I174458059"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Petros Maragos","raw_affiliation_strings":["Department of Electrical & Computer Engineering, National and Technical University of Athens, Athens, Greece","Dept. of Electrical & Computer Engineering, National Technical University of Athens, Zografou, 15773, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical & Computer Engineering, National and Technical University of Athens, Athens, Greece","institution_ids":["https://openalex.org/I174458059"]},{"raw_affiliation_string":"Dept. of Electrical & Computer Engineering, National Technical University of Athens, Zografou, 15773, Greece","institution_ids":["https://openalex.org/I174458059"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I174458059"],"apc_list":null,"apc_paid":null,"fwci":4.776,"has_fulltext":false,"cited_by_count":30,"citation_normalized_percentile":{"value":0.96628099,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"55","issue":null,"first_page":"I","last_page":"533"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9965000152587891,"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/T10320","display_name":"Neural Networks and Applications","score":0.9965000152587891,"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/T10860","display_name":"Speech and Audio Processing","score":0.9959999918937683,"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/T10244","display_name":"Chaos control and synchronization","score":0.9952999949455261,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7420427203178406},{"id":"https://openalex.org/keywords/chaotic","display_name":"Chaotic","score":0.7366411685943604},{"id":"https://openalex.org/keywords/cepstrum","display_name":"Cepstrum","score":0.6441853046417236},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.6146411299705505},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6051299571990967},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.5571317076683044},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5201354622840881},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5091626048088074},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.48800650238990784},{"id":"https://openalex.org/keywords/mel-frequency-cepstrum","display_name":"Mel-frequency cepstrum","score":0.46215516328811646},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4390050172805786},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.42371928691864014},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4209461808204651},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3827437460422516},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1503378450870514}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7420427203178406},{"id":"https://openalex.org/C2777052490","wikidata":"https://www.wikidata.org/wiki/Q5072826","display_name":"Chaotic","level":2,"score":0.7366411685943604},{"id":"https://openalex.org/C88485024","wikidata":"https://www.wikidata.org/wiki/Q1054571","display_name":"Cepstrum","level":2,"score":0.6441853046417236},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.6146411299705505},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6051299571990967},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.5571317076683044},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5201354622840881},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5091626048088074},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.48800650238990784},{"id":"https://openalex.org/C151989614","wikidata":"https://www.wikidata.org/wiki/Q440370","display_name":"Mel-frequency cepstrum","level":3,"score":0.46215516328811646},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4390050172805786},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.42371928691864014},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4209461808204651},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3827437460422516},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1503378450870514},{"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},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icassp.2002.5743772","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2002.5743772","pdf_url":null,"source":{"id":"https://openalex.org/S4363607879","display_name":"IEEE International Conference on Acoustics Speech and Signal Processing","issn_l":null,"issn":null,"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE International Conference on Acoustics Speech and Signal Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:dspace.lib.ntua.gr:123456789/30824","is_oa":true,"landing_page_url":"http://doi.org/10.1109/ICASSP.2002.5743772","pdf_url":null,"source":{"id":"https://openalex.org/S4377196837","display_name":"DSpace - NTUA (National Technical University of Athens)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I174458059","host_organization_name":"National Technical University of Athens","host_organization_lineage":["https://openalex.org/I174458059"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:dspace.lib.ntua.gr:123456789/30824","is_oa":true,"landing_page_url":"http://doi.org/10.1109/ICASSP.2002.5743772","pdf_url":null,"source":{"id":"https://openalex.org/S4377196837","display_name":"DSpace - NTUA (National Technical University of Athens)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I174458059","host_organization_name":"National Technical University of Athens","host_organization_lineage":["https://openalex.org/I174458059"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings","raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W33980575","https://openalex.org/W88081813","https://openalex.org/W1536822605","https://openalex.org/W1560013842","https://openalex.org/W1594759473","https://openalex.org/W1963553290","https://openalex.org/W1979843796","https://openalex.org/W2011304357","https://openalex.org/W2029401646","https://openalex.org/W2068844879","https://openalex.org/W2069501481","https://openalex.org/W2073955790","https://openalex.org/W2077186504","https://openalex.org/W2078206416","https://openalex.org/W2115223226","https://openalex.org/W2167453906","https://openalex.org/W2460951999","https://openalex.org/W2508636625","https://openalex.org/W2964631455","https://openalex.org/W3094114204","https://openalex.org/W4210509282","https://openalex.org/W4239340087","https://openalex.org/W4285719527","https://openalex.org/W6631991466","https://openalex.org/W6635334691","https://openalex.org/W6657721935","https://openalex.org/W6718466821"],"related_works":["https://openalex.org/W2018086531","https://openalex.org/W1980297060","https://openalex.org/W2387604097","https://openalex.org/W2373675101","https://openalex.org/W4385672897","https://openalex.org/W106160982","https://openalex.org/W2359140082","https://openalex.org/W2074132948","https://openalex.org/W2160511961","https://openalex.org/W2066371342"],"abstract_inverted_index":{"Nonlinear":[0],"systems":[1,30],"based":[2],"on":[3,59],"chaos":[4],"theory":[5,31],"can":[6],"model":[7],"various":[8],"aspects":[9],"of":[10,67],"the":[11,54],"nonlinear":[12,44],"dynamic":[13],"phenomena":[14],"occuring":[15],"during":[16],"speech":[17,34,72],"production.":[18],"In":[19],"this":[20],"paper,":[21],"we":[22,48],"explore":[23],"modem":[24],"methods":[25],"and":[26,41,74],"algorithms":[27],"from":[28],"chaotic":[29],"for":[32,42,71],"modeling":[33],"signals":[35,73],"in":[36,82],"a":[37,63],"multidimensional":[38],"phase":[39],"space":[40],"extracting":[43],"acoustic":[45,69],"features.":[46],"Further,":[47],"integrate":[49],"these":[50],"chaotic-type":[51],"features":[52,70],"with":[53],"standard":[55],"linear":[56],"ones":[57],"(based":[58],"cepstrum)":[60],"to":[61],"develop":[62],"generalized":[64],"hybrid":[65],"set":[66],"short-time":[68],"demonstrate":[75],"its":[76],"efficacy":[77],"by":[78],"showing":[79],"significant":[80],"improvements":[81],"HMM-based":[83],"word":[84],"recognition.":[85]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2013,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}