{"id":"https://openalex.org/W2104432942","doi":"https://doi.org/10.1109/icassp.2012.6288977","title":"Lowresource speech recognition with automatically learned sparse inverse covariance matrices","display_name":"Lowresource speech recognition with automatically learned sparse inverse covariance matrices","publication_year":2012,"publication_date":"2012-03-01","ids":{"openalex":"https://openalex.org/W2104432942","doi":"https://doi.org/10.1109/icassp.2012.6288977","mag":"2104432942"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2012.6288977","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2012.6288977","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5100448766","display_name":"Weibin Zhang","orcid":"https://orcid.org/0000-0002-8453-7555"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]},{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Weibin Zhang","raw_affiliation_strings":["HKUST Human Language Technology Center, Department of Electronic and Computer Engineering, University of Science and Technology (HKUST), Hong Kong, China","HKUST, Human Language Technology Center, Department of Electronic and Computer Engineering, University of Science and Technology, Clear Water Bay, Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"HKUST Human Language Technology Center, Department of Electronic and Computer Engineering, University of Science and Technology (HKUST), Hong Kong, China","institution_ids":["https://openalex.org/I889458895","https://openalex.org/I200769079"]},{"raw_affiliation_string":"HKUST, Human Language Technology Center, Department of Electronic and Computer Engineering, University of Science and Technology, Clear Water Bay, Hong Kong","institution_ids":["https://openalex.org/I200769079","https://openalex.org/I889458895"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065856469","display_name":"Pascale Fung","orcid":"https://orcid.org/0000-0002-0628-7132"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]},{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Pascale Fung","raw_affiliation_strings":["HKUST Human Language Technology Center, Department of Electronic and Computer Engineering, University of Science and Technology (HKUST), Hong Kong, China","HKUST, Human Language Technology Center, Department of Electronic and Computer Engineering, University of Science and Technology, Clear Water Bay, Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"HKUST Human Language Technology Center, Department of Electronic and Computer Engineering, University of Science and Technology (HKUST), Hong Kong, China","institution_ids":["https://openalex.org/I889458895","https://openalex.org/I200769079"]},{"raw_affiliation_string":"HKUST, Human Language Technology Center, Department of Electronic and Computer Engineering, University of Science and Technology, Clear Water Bay, Hong Kong","institution_ids":["https://openalex.org/I200769079","https://openalex.org/I889458895"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"9","issue":null,"first_page":"4737","last_page":"4740"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9997000098228455,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9997000098228455,"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":0.9995999932289124,"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/T11309","display_name":"Music and Audio Processing","score":0.9962999820709229,"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/covariance","display_name":"Covariance","score":0.8139245510101318},{"id":"https://openalex.org/keywords/estimation-of-covariance-matrices","display_name":"Estimation of covariance matrices","score":0.8012941479682922},{"id":"https://openalex.org/keywords/covariance-function","display_name":"Covariance function","score":0.761005163192749},{"id":"https://openalex.org/keywords/rational-quadratic-covariance-function","display_name":"Rational quadratic covariance function","score":0.7276213765144348},{"id":"https://openalex.org/keywords/covariance-intersection","display_name":"Covariance intersection","score":0.6625001430511475},{"id":"https://openalex.org/keywords/mat\u00e9rn-covariance-function","display_name":"Mat\u00e9rn covariance function","score":0.624935507774353},{"id":"https://openalex.org/keywords/cma-es","display_name":"CMA-ES","score":0.6086710691452026},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.5910991430282593},{"id":"https://openalex.org/keywords/covariance-mapping","display_name":"Covariance mapping","score":0.563762903213501},{"id":"https://openalex.org/keywords/lasso","display_name":"Lasso (programming language)","score":0.5167450308799744},{"id":"https://openalex.org/keywords/inverse","display_name":"Inverse","score":0.5063666105270386},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.501917839050293},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4759368896484375},{"id":"https://openalex.org/keywords/inverse-problem","display_name":"Inverse problem","score":0.44609856605529785},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4434199035167694},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.42449355125427246},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.419728547334671},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.20521700382232666}],"concepts":[{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.8139245510101318},{"id":"https://openalex.org/C180877172","wikidata":"https://www.wikidata.org/wiki/Q5401390","display_name":"Estimation of covariance matrices","level":3,"score":0.8012941479682922},{"id":"https://openalex.org/C137250428","wikidata":"https://www.wikidata.org/wiki/Q5178897","display_name":"Covariance function","level":3,"score":0.761005163192749},{"id":"https://openalex.org/C148893098","wikidata":"https://www.wikidata.org/wiki/Q7295778","display_name":"Rational quadratic covariance function","level":5,"score":0.7276213765144348},{"id":"https://openalex.org/C83042196","wikidata":"https://www.wikidata.org/wiki/Q5178898","display_name":"Covariance intersection","level":4,"score":0.6625001430511475},{"id":"https://openalex.org/C118006245","wikidata":"https://www.wikidata.org/wiki/Q6792079","display_name":"Mat\u00e9rn covariance function","level":5,"score":0.624935507774353},{"id":"https://openalex.org/C205555498","wikidata":"https://www.wikidata.org/wiki/Q505588","display_name":"CMA-ES","level":4,"score":0.6086710691452026},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.5910991430282593},{"id":"https://openalex.org/C129759605","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance mapping","level":5,"score":0.563762903213501},{"id":"https://openalex.org/C37616216","wikidata":"https://www.wikidata.org/wiki/Q3218363","display_name":"Lasso (programming language)","level":2,"score":0.5167450308799744},{"id":"https://openalex.org/C207467116","wikidata":"https://www.wikidata.org/wiki/Q4385666","display_name":"Inverse","level":2,"score":0.5063666105270386},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.501917839050293},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4759368896484375},{"id":"https://openalex.org/C135252773","wikidata":"https://www.wikidata.org/wiki/Q1567213","display_name":"Inverse problem","level":2,"score":0.44609856605529785},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4434199035167694},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.42449355125427246},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.419728547334671},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.20521700382232666},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"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/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icassp.2012.6288977","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2012.6288977","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-57663","is_oa":false,"landing_page_url":"https://repository.hkust.edu.hk/ir/Record/1783.1-57663","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W58456301","https://openalex.org/W179430498","https://openalex.org/W943204654","https://openalex.org/W1486632395","https://openalex.org/W1564719928","https://openalex.org/W2049633694","https://openalex.org/W2099955057","https://openalex.org/W2132555912","https://openalex.org/W2151128232","https://openalex.org/W2151402979","https://openalex.org/W2162959225","https://openalex.org/W2168653977","https://openalex.org/W6602367645","https://openalex.org/W6628849183","https://openalex.org/W6674854738","https://openalex.org/W6682227116"],"related_works":["https://openalex.org/W2022823194","https://openalex.org/W2110484224","https://openalex.org/W3128703436","https://openalex.org/W2046078371","https://openalex.org/W4315750325","https://openalex.org/W2109377650","https://openalex.org/W4386993326","https://openalex.org/W2126916073","https://openalex.org/W2104432942","https://openalex.org/W3103531085"],"abstract_inverted_index":{"Full":[0],"covariance":[1,29,38,43,56,92,126,141,149,158],"acoustic":[2],"models":[3],"trained":[4,160],"with":[5],"limited":[6,162],"training":[7],"data":[8,14],"generalize":[9],"poorly":[10],"to":[11,16,25,31,49,58,72,101,128,133],"unseen":[12],"test":[13],"due":[15],"a":[17,47,64,89,139,154],"large":[18],"number":[19],"of":[20,54,88,104,120,123,138],"free":[21],"parameters.":[22],"We":[23,45,62],"propose":[24,46],"use":[26,63],"sparse":[27,36,59,90,147],"inverse":[28,37,55,91,125,148],"matrices":[30,57,127],"address":[32],"this":[33],"problem.":[34],"Previous":[35],"methods":[39],"never":[40],"outperformed":[41],"full":[42,140,157],"methods.":[44],"method":[48,84],"automatically":[50],"drive":[51],"the":[52,73,86,97,107,121,124,135],"structure":[53],"during":[60],"training.":[61],"new":[65,108],"objective":[66,75,109],"function":[67,76],"by":[68],"adding":[69],"L1":[70],"regularization":[71],"traditional":[74],"for":[77,85],"maximum":[78],"likelihood":[79],"estimation.":[80],"The":[81],"graphic":[82],"lasso":[83],"estimation":[87],"matrix":[93],"is":[94],"incorporated":[95],"into":[96],"Expectation":[98],"Maximization":[99],"algorithm":[100],"learn":[102],"parameters":[103,122],"HMM":[105],"using":[106,146,156],"function.":[110],"Experimental":[111],"results":[112],"show":[113],"that":[114],"we":[115],"only":[116],"need":[117],"about":[118],"25%":[119],"be":[129],"nonzero":[130],"in":[131],"order":[132],"achieve":[134],"same":[136],"performance":[137],"system.":[142],"Our":[143],"proposed":[144],"system":[145,155],"Gaussians":[150,159],"also":[151],"significantly":[152],"outperforms":[153],"on":[161],"data.":[163]},"counts_by_year":[{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
