{"id":"https://openalex.org/W2127651902","doi":"https://doi.org/10.1109/icassp.2004.1326040","title":"Joint frequency domain and reconstructed phase space features for speech recognition","display_name":"Joint frequency domain and reconstructed phase space features for speech recognition","publication_year":2004,"publication_date":"2004-09-28","ids":{"openalex":"https://openalex.org/W2127651902","doi":"https://doi.org/10.1109/icassp.2004.1326040","mag":"2127651902"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2004.1326040","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2004.1326040","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2004 IEEE International Conference on Acoustics, Speech, and Signal Processing","raw_type":"proceedings-article"},"type":"conference-paper","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/A5060276998","display_name":"A.C. Lindgren","orcid":null},"institutions":[{"id":"https://openalex.org/I102461120","display_name":"Marquette University","ror":"https://ror.org/04gr4te78","country_code":"US","type":"education","lineage":["https://openalex.org/I102461120"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"A.C. Lindgren","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Marquette University, Milwaukee, WI, USA","Dept. of Electr. & Comput. Eng., Marquette Univ., Milwaukee, WI, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Marquette University, Milwaukee, WI, USA","institution_ids":["https://openalex.org/I102461120"]},{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng., Marquette Univ., Milwaukee, WI, USA","institution_ids":["https://openalex.org/I102461120"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015797517","display_name":"Michael T. Johnson","orcid":"https://orcid.org/0000-0001-5424-4877"},"institutions":[{"id":"https://openalex.org/I102461120","display_name":"Marquette University","ror":"https://ror.org/04gr4te78","country_code":"US","type":"education","lineage":["https://openalex.org/I102461120"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"M. T Johnson","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Marquette University, Milwaukee, WI, USA","Dept. of Electr. & Comput. Eng., Marquette Univ., Milwaukee, WI, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Marquette University, Milwaukee, WI, USA","institution_ids":["https://openalex.org/I102461120"]},{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng., Marquette Univ., Milwaukee, WI, USA","institution_ids":["https://openalex.org/I102461120"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042506983","display_name":"Richard J. Povinelli","orcid":"https://orcid.org/0000-0001-8439-0146"},"institutions":[{"id":"https://openalex.org/I102461120","display_name":"Marquette University","ror":"https://ror.org/04gr4te78","country_code":"US","type":"education","lineage":["https://openalex.org/I102461120"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"R.J. Povinelli","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Marquette University, Milwaukee, WI, USA","Dept. of Electr. & Comput. Eng., Marquette Univ., Milwaukee, WI, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Marquette University, Milwaukee, WI, USA","institution_ids":["https://openalex.org/I102461120"]},{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng., Marquette Univ., Milwaukee, WI, USA","institution_ids":["https://openalex.org/I102461120"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I102461120"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":"I","last_page":"533"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10244","display_name":"Chaos control and synchronization","score":0.9979000091552734,"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"}},"topics":[{"id":"https://openalex.org/T10244","display_name":"Chaos control and synchronization","score":0.9979000091552734,"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"}},{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9847000241279602,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9836999773979187,"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":0.7155430316925049},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.6990006566047668},{"id":"https://openalex.org/keywords/mel-frequency-cepstrum","display_name":"Mel-frequency cepstrum","score":0.686066746711731},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6653574705123901},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6368495225906372},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.6184008121490479},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6028242111206055},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5999088883399963},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.5694839358329773},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5653573274612427},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.5520213842391968},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.46921029686927795},{"id":"https://openalex.org/keywords/chaotic","display_name":"Chaotic","score":0.44478684663772583},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4410320222377777},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.42180556058883667},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.41862958669662476},{"id":"https://openalex.org/keywords/speech-processing","display_name":"Speech processing","score":0.4172023832798004},{"id":"https://openalex.org/keywords/time-domain","display_name":"Time domain","score":0.41426488757133484},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.23555409908294678},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11115851998329163}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7155430316925049},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.6990006566047668},{"id":"https://openalex.org/C151989614","wikidata":"https://www.wikidata.org/wiki/Q440370","display_name":"Mel-frequency cepstrum","level":3,"score":0.686066746711731},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6653574705123901},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6368495225906372},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.6184008121490479},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6028242111206055},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5999088883399963},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.5694839358329773},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5653573274612427},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.5520213842391968},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.46921029686927795},{"id":"https://openalex.org/C2777052490","wikidata":"https://www.wikidata.org/wiki/Q5072826","display_name":"Chaotic","level":2,"score":0.44478684663772583},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4410320222377777},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.42180556058883667},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.41862958669662476},{"id":"https://openalex.org/C61328038","wikidata":"https://www.wikidata.org/wiki/Q3358061","display_name":"Speech processing","level":2,"score":0.4172023832798004},{"id":"https://openalex.org/C103824480","wikidata":"https://www.wikidata.org/wiki/Q185889","display_name":"Time domain","level":2,"score":0.41426488757133484},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.23555409908294678},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11115851998329163},{"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/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/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","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}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/icassp.2004.1326040","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2004.1326040","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2004 IEEE International Conference on Acoustics, Speech, and Signal Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:epublications.marquette.edu:electric_fac-1127","is_oa":false,"landing_page_url":"https://epublications.marquette.edu/cgi/viewcontent.cgi?article=1127&context=electric_fac","pdf_url":null,"source":{"id":"https://openalex.org/S4306401682","display_name":"e-Publications@Marquette (Marquette University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I102461120","host_organization_name":"Marquette University","host_organization_lineage":["https://openalex.org/I102461120"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Electrical and Computer Engineering Faculty Research and Publications","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.476.4393","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.476.4393","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://speechlab.eece.mu.edu/johnson/papers/Lindgren_icassp04.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.72.841","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.72.841","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://povinelli.eece.mu.edu/publications/papers/icassp2004.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.7400000095367432,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W88081813","https://openalex.org/W176013120","https://openalex.org/W186186683","https://openalex.org/W1493163583","https://openalex.org/W1549386224","https://openalex.org/W2004021828","https://openalex.org/W2068844879","https://openalex.org/W2077804127","https://openalex.org/W2087045023","https://openalex.org/W2162601923","https://openalex.org/W3036383388","https://openalex.org/W4210509282","https://openalex.org/W4239340087"],"related_works":["https://openalex.org/W2782295999","https://openalex.org/W1970292246","https://openalex.org/W2162306796","https://openalex.org/W2015118744","https://openalex.org/W4247952185","https://openalex.org/W1642462315","https://openalex.org/W3044690502","https://openalex.org/W2005619368","https://openalex.org/W2065140124","https://openalex.org/W1879092539"],"abstract_inverted_index":{"A":[0],"novel":[1],"method":[2],"for":[3],"speech":[4],"recognition":[5,59],"is":[6,77],"presented,":[7],"utilizing":[8],"nonlinear/chaotic":[9],"signal":[10],"processing":[11],"techniques":[12,92],"to":[13],"extract":[14],"time-domain":[15],"based,":[16],"reconstructed":[17],"phase":[18],"space":[19],"features.":[20],"This":[21,82],"work":[22],"examines":[23],"the":[24,35,58,62,80,86,98],"incorporation":[25],"of":[26,37,54,61],"trajectory":[27,55],"information":[28,56,96],"into":[29,44],"this":[30],"model":[31],"as":[32,34],"well":[33],"combination":[36],"both":[38],"MFCC":[39,69],"and":[40,67,70],"RPS":[41,64,71],"feature":[42,47,65,72],"sets":[43,73],"one":[45],"joint":[46],"vector.":[48],"The":[49],"results":[50],"demonstrate":[51],"that":[52,85],"integration":[53],"increases":[57],"accuracy":[60],"typical":[63],"set,":[66],"when":[68],"are":[74],"combined,":[75],"improvement":[76],"made":[78],"over":[79],"baseline.":[81],"result":[83],"suggests":[84],"features":[87,99],"extracted":[88,100],"using":[89],"these":[90],"nonlinear":[91],"contain":[93],"different":[94],"discriminatory":[95],"than":[97],"from":[101],"linear":[102],"approaches":[103],"alone.":[104]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}