{"id":"https://openalex.org/W1528241179","doi":"https://doi.org/10.21437/interspeech.2007-571","title":"Sparse Gaussian graphical models for speech recognition","display_name":"Sparse Gaussian graphical models for speech recognition","publication_year":2007,"publication_date":"2007-08-27","ids":{"openalex":"https://openalex.org/W1528241179","doi":"https://doi.org/10.21437/interspeech.2007-571","mag":"1528241179"},"language":"en","primary_location":{"id":"doi:10.21437/interspeech.2007-571","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2007-571","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2007","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/1842/1995","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102911387","display_name":"Peter Bell","orcid":"https://orcid.org/0000-0002-9597-9615"},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Peter Bell","raw_affiliation_strings":["Centre for Speech Technology Research, University of Edinburgh, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre for Speech Technology Research, University of Edinburgh, UK","institution_ids":["https://openalex.org/I98677209"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062516688","display_name":"Simon King","orcid":"https://orcid.org/0000-0002-2694-2843"},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Simon King","raw_affiliation_strings":["University of Edinburgh"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Edinburgh","institution_ids":["https://openalex.org/I98677209"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I98677209"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2113","last_page":"2116"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9921000003814697,"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/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9921000003814697,"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/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9830999970436096,"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/T10057","display_name":"Face and Expression Recognition","score":0.9728000164031982,"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/graphical-model","display_name":"Graphical model","score":0.8193743824958801},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.7111138105392456},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.7036023736000061},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6643372178077698},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.6372097730636597},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.515023946762085},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46908488869667053},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46742671728134155},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4486343264579773},{"id":"https://openalex.org/keywords/phone","display_name":"Phone","score":0.42155253887176514},{"id":"https://openalex.org/keywords/mixture-model","display_name":"Mixture model","score":0.4125019609928131},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.4122188687324524},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3427947461605072},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18410488963127136},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10544571280479431},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08183839917182922}],"concepts":[{"id":"https://openalex.org/C155846161","wikidata":"https://www.wikidata.org/wiki/Q1143367","display_name":"Graphical model","level":2,"score":0.8193743824958801},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.7111138105392456},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.7036023736000061},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6643372178077698},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.6372097730636597},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.515023946762085},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46908488869667053},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46742671728134155},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4486343264579773},{"id":"https://openalex.org/C2778707766","wikidata":"https://www.wikidata.org/wiki/Q202064","display_name":"Phone","level":2,"score":0.42155253887176514},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.4125019609928131},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.4122188687324524},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3427947461605072},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18410488963127136},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10544571280479431},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08183839917182922},{"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/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","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}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.21437/interspeech.2007-571","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2007-571","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2007","raw_type":"proceedings-article"},{"id":"pmh:oai:era.ed.ac.uk:1842/1995","is_oa":true,"landing_page_url":"http://hdl.handle.net/1842/1995","pdf_url":"http://hdl.handle.net/1842/1995","source":{"id":"https://openalex.org/S7407055182","display_name":"ERA","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":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference Paper"},{"id":"pmh:oai:pure.ed.ac.uk:publications/a503806d-1333-4fb8-b985-a5908615da99","is_oa":true,"landing_page_url":"https://www.research.ed.ac.uk/en/publications/a503806d-1333-4fb8-b985-a5908615da99","pdf_url":"https://www.pure.ed.ac.uk/ws/files/20136387/sparseGM_is2007.pdf","source":{"id":"https://openalex.org/S4406922455","display_name":"Edinburgh Research Explorer","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":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.65.6155","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.65.6155","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cstr.ed.ac.uk/downloads/publications/2007/sparseGM_is2007.pdf","raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:era.ed.ac.uk:1842/1995","is_oa":true,"landing_page_url":"http://hdl.handle.net/1842/1995","pdf_url":"http://hdl.handle.net/1842/1995","source":{"id":"https://openalex.org/S7407055182","display_name":"ERA","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":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference Paper"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.5}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W1528241179.pdf","grobid_xml":"https://content.openalex.org/works/W1528241179.grobid-xml"},"referenced_works_count":14,"referenced_works":["https://openalex.org/W199878401","https://openalex.org/W335758531","https://openalex.org/W1548538781","https://openalex.org/W1591640985","https://openalex.org/W1896341954","https://openalex.org/W2049633694","https://openalex.org/W2081746825","https://openalex.org/W2096044236","https://openalex.org/W2099955057","https://openalex.org/W2106554350","https://openalex.org/W2168175751","https://openalex.org/W2170744156","https://openalex.org/W2296319761","https://openalex.org/W3098834468"],"related_works":["https://openalex.org/W4290803287","https://openalex.org/W4300066510","https://openalex.org/W1971337326","https://openalex.org/W2056958800","https://openalex.org/W4213259725","https://openalex.org/W4311388919","https://openalex.org/W1964490787","https://openalex.org/W2060696366","https://openalex.org/W1992295166","https://openalex.org/W2143508933"],"abstract_inverted_index":{"We":[0],"address":[1],"the":[2,6,22,25],"problem":[3],"of":[4,8,20,24,29,66],"learning":[5],"structure":[7,47],"Gaussian":[9,50],"graphical":[10,45,89],"models":[11,93],"for":[12,43],"use":[13],"in":[14],"automatic":[15],"speech":[16,85],"recognition,":[17,86],"a":[18,41,49,54,60,70,75],"means":[19],"controlling":[21],"form":[23],"inverse":[26],"covariance":[27],"matrices":[28],"such":[30],"systems.":[31],"With":[32],"particular":[33],"focus":[34],"on":[35,48,69],"data":[36],"sparsity":[37],"issues,":[38],"we":[39],"implement":[40],"method":[42],"imposing":[44],"model":[46],"mixture":[51],"system,":[52],"using":[53],"convex":[55],"optimisation":[56],"technique":[57],"to":[58],"maximise":[59],"penalised":[61],"likelihood":[62],"expression.":[63],"The":[64],"results":[65],"initial":[67],"experiments":[68],"phone":[71],"recognition":[72],"task":[73],"show":[74],"performance":[76],"improvement":[77],"over":[78],"an":[79],"equivalent":[80],"full-covariance":[81],"system.":[82],"Index":[83],"Terms:":[84],"acoustic":[87],"models,":[88,90],"precision":[91],"matrix":[92]},"counts_by_year":[{"year":2020,"cited_by_count":2},{"year":2014,"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"}
