{"id":"https://openalex.org/W2027879131","doi":"https://doi.org/10.1155/2008/578612","title":"Auditory Sparse Representation for Robust Speaker Recognition Based on Tensor Structure","display_name":"Auditory Sparse Representation for Robust Speaker Recognition Based on Tensor Structure","publication_year":2008,"publication_date":"2008-01-01","ids":{"openalex":"https://openalex.org/W2027879131","doi":"https://doi.org/10.1155/2008/578612","mag":"2027879131"},"language":"en","primary_location":{"id":"doi:10.1155/2008/578612","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2008/578612","pdf_url":null,"source":{"id":"https://openalex.org/S19605986","display_name":"EURASIP Journal on Audio Speech and Music Processing","issn_l":"1687-4714","issn":["1687-4714","1687-4722"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Audio, Speech, and Music Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1155/2008/578612","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5071210086","display_name":"Qiang Wu","orcid":"https://orcid.org/0000-0002-9169-3791"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qiang Wu","raw_affiliation_strings":["Department of Computer Science & Engineering, Shanghai Jiao Tong University, Shanghai, China 200240"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science & Engineering, Shanghai Jiao Tong University, Shanghai, China 200240","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100741568","display_name":"Liqing Zhang","orcid":"https://orcid.org/0000-0001-7597-8503"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liqing Zhang","raw_affiliation_strings":["Department of Computer Science & Engineering, Shanghai Jiao Tong University, Shanghai, China 200240"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science & Engineering, Shanghai Jiao Tong University, Shanghai, China 200240","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5071210086"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":{"value":1115,"currency":"GBP","value_usd":1367},"apc_paid":{"value":1115,"currency":"GBP","value_usd":1367},"fwci":0.7623,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.70891957,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"2008","issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9976999759674072,"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/T12303","display_name":"Tensor decomposition and applications","score":0.9952999949455261,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7129995226860046},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6515505909919739},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6494871973991394},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.6139361262321472},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.5842642188072205},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5830257534980774},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.5815488696098328},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5684841275215149},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.5559209585189819},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.5366349220275879},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.529306173324585},{"id":"https://openalex.org/keywords/basilar-membrane","display_name":"Basilar membrane","score":0.5186299681663513},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.47023719549179077},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46864622831344604},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.43612924218177795},{"id":"https://openalex.org/keywords/matching-pursuit","display_name":"Matching pursuit","score":0.42335444688796997},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.29070669412612915},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.20802834630012512}],"concepts":[{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7129995226860046},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6515505909919739},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6494871973991394},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.6139361262321472},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.5842642188072205},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5830257534980774},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.5815488696098328},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5684841275215149},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.5559209585189819},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.5366349220275879},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.529306173324585},{"id":"https://openalex.org/C2780807236","wikidata":"https://www.wikidata.org/wiki/Q3503790","display_name":"Basilar membrane","level":3,"score":0.5186299681663513},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.47023719549179077},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46864622831344604},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.43612924218177795},{"id":"https://openalex.org/C156872377","wikidata":"https://www.wikidata.org/wiki/Q6786281","display_name":"Matching pursuit","level":3,"score":0.42335444688796997},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.29070669412612915},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.20802834630012512},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","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},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C105702510","wikidata":"https://www.wikidata.org/wiki/Q514","display_name":"Anatomy","level":1,"score":0.0},{"id":"https://openalex.org/C2780130748","wikidata":"https://www.wikidata.org/wiki/Q317857","display_name":"Cochlea","level":2,"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/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1155/2008/578612","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2008/578612","pdf_url":null,"source":{"id":"https://openalex.org/S19605986","display_name":"EURASIP Journal on Audio Speech and Music Processing","issn_l":"1687-4714","issn":["1687-4714","1687-4722"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Audio, Speech, and Music Processing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:3895ee29c28c4174b413f5de650a638b","is_oa":true,"landing_page_url":"https://doaj.org/article/3895ee29c28c4174b413f5de650a638b","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"EURASIP Journal on Audio, Speech, and Music Processing, Vol 2008 (2008)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1155/2008/578612","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2008/578612","pdf_url":null,"source":{"id":"https://openalex.org/S19605986","display_name":"EURASIP Journal on Audio Speech and Music Processing","issn_l":"1687-4714","issn":["1687-4714","1687-4722"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Audio, Speech, and Music Processing","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.7099999785423279,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W32702425","https://openalex.org/W205752309","https://openalex.org/W1983476815","https://openalex.org/W2013590534","https://openalex.org/W2013912476","https://openalex.org/W2017399882","https://openalex.org/W2032076168","https://openalex.org/W2059857061","https://openalex.org/W2081427870","https://openalex.org/W2090861223","https://openalex.org/W2100779717","https://openalex.org/W2108548422","https://openalex.org/W2110322414","https://openalex.org/W2120077739","https://openalex.org/W2121178298","https://openalex.org/W2133285226","https://openalex.org/W2136626329","https://openalex.org/W2137075158","https://openalex.org/W2144353980","https://openalex.org/W2149535104","https://openalex.org/W2154624311","https://openalex.org/W2165880886"],"related_works":["https://openalex.org/W2011611369","https://openalex.org/W2120164251","https://openalex.org/W4297791310","https://openalex.org/W4245251483","https://openalex.org/W2116148865","https://openalex.org/W4372266926","https://openalex.org/W2366556501","https://openalex.org/W2965458591","https://openalex.org/W1520740474","https://openalex.org/W4254934694"],"abstract_inverted_index":{"This":[0],"paper":[1],"investigates":[2],"the":[3,86,110],"problem":[4],"of":[5,82],"speaker":[6,77],"recognition":[7,111],"in":[8,38,44,85,114],"noisy":[9,115],"conditions.":[10],"A":[11],"new":[12],"approach":[13],"called":[14],"nonnegative":[15],"tensor":[16,37,88],"principal":[17],"component":[18],"analysis":[19],"(NTPCA)":[20],"with":[21],"sparse":[22,69],"constraint":[23],"is":[24,95],"proposed":[25],"for":[26,75],"speech":[27,32,48],"feature":[28,54],"extraction.":[29],"We":[30],"encode":[31],"as":[33],"a":[34,99],"general":[35],"higher-order":[36,87],"order":[39],"to":[40,97],"extract":[41],"discriminative":[42],"features":[43,70],"spectrotemporal":[45],"domain.":[46],"Firstly,":[47],"signals":[49],"are":[50,71],"represented":[51],"by":[52,73],"cochlear":[53],"based":[55],"on":[56],"frequency":[57],"selectivity":[58],"characteristics":[59],"at":[60],"basilar":[61],"membrane":[62],"and":[63],"inner":[64],"hair":[65],"cells;":[66],"then,":[67],"low-dimension":[68],"extracted":[72],"NTPCA":[74],"robust":[76],"modeling.":[78],"The":[79],"useful":[80],"information":[81],"each":[83],"subspace":[84],"can":[89,108],"be":[90],"preserved.":[91],"Alternating":[92],"projection":[93],"algorithm":[94],"used":[96],"obtain":[98],"stable":[100],"solution.":[101],"Experimental":[102],"results":[103],"demonstrate":[104],"that":[105],"our":[106],"method":[107],"increase":[109],"accuracy":[112],"specifically":[113],"environments.":[116]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-03-17T09:09:15.849793","created_date":"2016-06-24T00:00:00"}