{"id":"https://openalex.org/W2109693512","doi":"https://doi.org/10.1109/tasl.2010.2070495","title":"Robust Multifactor Speech Feature Extraction Based on Gabor Analysis","display_name":"Robust Multifactor Speech Feature Extraction Based on Gabor Analysis","publication_year":2010,"publication_date":"2010-08-27","ids":{"openalex":"https://openalex.org/W2109693512","doi":"https://doi.org/10.1109/tasl.2010.2070495","mag":"2109693512"},"language":"en","primary_location":{"id":"doi:10.1109/tasl.2010.2070495","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tasl.2010.2070495","pdf_url":null,"source":{"id":"https://openalex.org/S199497470","display_name":"IEEE Transactions on Audio Speech and Language Processing","issn_l":"1558-7916","issn":["1558-7916","1558-7924"],"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 Transactions on Audio, Speech, and Language Processing","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/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 and Engineering, Shanghai Jiaotong University, Shanghai, China","Department of Computer Science and Engineering Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Shanghai Jiaotong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"Department of Computer Science and Engineering Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","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 and Engineering, Shanghai Jiaotong University, Shanghai, China","Department of Computer Science and Engineering Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Shanghai Jiaotong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"Department of Computer Science and Engineering Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074930703","display_name":"Guangchuan Shi","orcid":null},"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":"Guangchuan Shi","raw_affiliation_strings":["Department of Computer Science and Engineering, Shanghai Jiaotong University, Shanghai, China","Department of Computer Science and Engineering Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Shanghai Jiaotong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"Department of Computer Science and Engineering Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5071210086"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":1.3485,"has_fulltext":false,"cited_by_count":33,"citation_normalized_percentile":{"value":0.81215147,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"19","issue":"4","first_page":"927","last_page":"936"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9987000226974487,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.677415668964386},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6074896454811096},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5878583192825317},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5875904560089111},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5344115495681763},{"id":"https://openalex.org/keywords/spectrogram","display_name":"Spectrogram","score":0.5073418021202087},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.49887633323669434},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.49150025844573975},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.4832668900489807},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.474423348903656},{"id":"https://openalex.org/keywords/speech-processing","display_name":"Speech processing","score":0.43967804312705994},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2539677917957306},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.12401100993156433}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.677415668964386},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6074896454811096},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5878583192825317},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5875904560089111},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5344115495681763},{"id":"https://openalex.org/C45273575","wikidata":"https://www.wikidata.org/wiki/Q578970","display_name":"Spectrogram","level":2,"score":0.5073418021202087},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.49887633323669434},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.49150025844573975},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.4832668900489807},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.474423348903656},{"id":"https://openalex.org/C61328038","wikidata":"https://www.wikidata.org/wiki/Q3358061","display_name":"Speech processing","level":2,"score":0.43967804312705994},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2539677917957306},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.12401100993156433},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tasl.2010.2070495","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tasl.2010.2070495","pdf_url":null,"source":{"id":"https://openalex.org/S199497470","display_name":"IEEE Transactions on Audio Speech and Language Processing","issn_l":"1558-7916","issn":["1558-7916","1558-7924"],"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 Transactions on Audio, Speech, and Language Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.7900000214576721}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W32702425","https://openalex.org/W55541205","https://openalex.org/W130921173","https://openalex.org/W1541452272","https://openalex.org/W1627087495","https://openalex.org/W1965793029","https://openalex.org/W1984035260","https://openalex.org/W2000215628","https://openalex.org/W2013590534","https://openalex.org/W2013912476","https://openalex.org/W2027879131","https://openalex.org/W2054139811","https://openalex.org/W2092305100","https://openalex.org/W2096051479","https://openalex.org/W2117852776","https://openalex.org/W2119741678","https://openalex.org/W2121739212","https://openalex.org/W2122516409","https://openalex.org/W2128653836","https://openalex.org/W2130426352","https://openalex.org/W2133285226","https://openalex.org/W2134905334","https://openalex.org/W2137075158","https://openalex.org/W2140499889","https://openalex.org/W2142709321","https://openalex.org/W2143421693","https://openalex.org/W2144353980","https://openalex.org/W2144920235","https://openalex.org/W2148154194","https://openalex.org/W2149535104","https://openalex.org/W2152849188","https://openalex.org/W2154624311","https://openalex.org/W2159680533","https://openalex.org/W2166067691","https://openalex.org/W2171937595","https://openalex.org/W2408660648","https://openalex.org/W4211141987","https://openalex.org/W4239264838","https://openalex.org/W4322501673","https://openalex.org/W6632326908","https://openalex.org/W6636776493","https://openalex.org/W6680179206","https://openalex.org/W6681309176","https://openalex.org/W6713842150"],"related_works":["https://openalex.org/W2530685530","https://openalex.org/W4375868962","https://openalex.org/W2011227383","https://openalex.org/W2088854863","https://openalex.org/W3179495260","https://openalex.org/W1976719989","https://openalex.org/W2942893872","https://openalex.org/W3127543252","https://openalex.org/W2065606036","https://openalex.org/W2016904525"],"abstract_inverted_index":{"The":[0,141,197],"performance":[1],"of":[2,12,117,143,153,161,175],"speech":[3,14,49,93,155,162,210,221],"recognition":[4,211],"systems":[5,26],"relies":[6],"on":[7,63],"the":[8,13,20,48,77,92,114,118,122,133,144,150,166,191,209,219],"consistency":[9],"and":[10,22,34,57,66,71,102,110,164],"adaptation":[11],"feature":[15,50,139,222],"in":[16,53,194,214],"complex":[17],"conditions":[18,33],"during":[19],"training":[21],"testing":[23],"stages.":[24],"Traditional":[25],"usually":[27],"perform":[28],"poorly":[29],"under":[30],"adverse":[31],"noisy":[32,55,215],"are":[35,81],"not":[36],"applicable":[37],"to":[38,112,131,148,184,207],"most":[39],"real":[40],"world":[41],"problems.":[42],"In":[43],"this":[44,88],"paper,":[45],"we":[46,90],"investigate":[47],"extraction":[51,223],"problem":[52],"a":[54,59,97],"environment":[56],"propose":[58],"novel":[60],"approach":[61],"based":[62],"Gabor":[64,105],"filtering":[65],"tensor":[67,101,195],"factorization.":[68],"Recent":[69],"physiological":[70],"psychoacoustic":[72],"experimental":[73],"results":[74,199],"suggest":[75],"that":[76,201],"localized":[78,115],"spectro-temporal":[79],"features":[80,188],"essential":[82],"for":[83],"auditory":[84],"perception.":[85],"To":[86],"explore":[87],"property,":[89],"represent":[91],"signal":[94],"by":[95,157,189],"using":[96],"general":[98],"higher":[99],"order":[100],"employ":[103],"two-dimensional":[104],"functions":[106],"with":[107,126,218],"different":[108,172],"scales":[109],"directions":[111],"analyze":[113],"patches":[116],"power":[119],"spectrogram.":[120],"Then":[121],"Nonnegative":[123],"Tensor":[124],"PCA":[125],"sparse":[127,145,187],"constraints":[128,146],"is":[129,147,182,205],"proposed":[130,183,203],"learn":[132],"projection":[134,159],"matrices":[135,160],"from":[136,173],"multiple":[137],"interrelated":[138],"subspaces.":[140],"objective":[142],"preserve":[149],"statistical":[151],"characteristic":[152],"clean":[154,176],"data":[156,192],"finding":[158],"subspaces":[163],"reduce":[165],"noise":[167],"components":[168],"which":[169],"have":[170],"distributions":[171],"those":[174],"speech.":[177],"A":[178],"multifactor":[179],"analysis":[180],"method":[181,204],"extract":[185],"robust":[186],"processing":[190],"samples":[193],"structure.":[196],"simulation":[198],"indicate":[200],"our":[202],"able":[206],"improve":[208],"performance,":[212],"especially":[213],"environments,":[216],"compared":[217],"traditional":[220],"methods.":[224]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":7},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
