{"id":"https://openalex.org/W1947735963","doi":"https://doi.org/10.21437/icslp.1998-176","title":"Support vector machines for speech recognition","display_name":"Support vector machines for speech recognition","publication_year":1998,"publication_date":"1998-11-30","ids":{"openalex":"https://openalex.org/W1947735963","doi":"https://doi.org/10.21437/icslp.1998-176","mag":"1947735963"},"language":"en","primary_location":{"id":"doi:10.21437/icslp.1998-176","is_oa":false,"landing_page_url":"https://doi.org/10.21437/icslp.1998-176","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"5th International Conference on Spoken Language Processing (ICSLP 1998)","raw_type":"proceedings-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/A5083410051","display_name":"Aravind Ganapathiraju","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Aravind Ganapathiraju","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109898450","display_name":"Jonathan Hamaker","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jonathan Hamaker","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5004343613","display_name":"J. Picone","orcid":"https://orcid.org/0000-0001-6836-7886"},"institutions":[{"id":"https://openalex.org/I99041443","display_name":"Mississippi State University","ror":"https://ror.org/0432jq872","country_code":"US","type":"education","lineage":["https://openalex.org/I4210141039","https://openalex.org/I99041443"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Joseph Picone","raw_affiliation_strings":["Mississippi State University *"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mississippi State University *","institution_ids":["https://openalex.org/I99041443"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.7497,"has_fulltext":false,"cited_by_count":99,"citation_normalized_percentile":{"value":0.90824152,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"paper 0410","last_page":"0"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9983999729156494,"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":0.9983999729156494,"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":0.9951000213623047,"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/T10320","display_name":"Neural Networks and Applications","score":0.9847999811172485,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.8992213010787964},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.7989354133605957},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7937361001968384},{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.7398170828819275},{"id":"https://openalex.org/keywords/structural-risk-minimization","display_name":"Structural risk minimization","score":0.7355648279190063},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.7291325330734253},{"id":"https://openalex.org/keywords/word-error-rate","display_name":"Word error rate","score":0.6776019334793091},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6262632608413696},{"id":"https://openalex.org/keywords/vocabulary","display_name":"Vocabulary","score":0.6102926731109619},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6018056273460388},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5201699733734131},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.4970548450946808},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.49625951051712036},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3745473623275757},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.17399677634239197},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07566219568252563},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07249829173088074}],"concepts":[{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.8992213010787964},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7989354133605957},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7937361001968384},{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.7398170828819275},{"id":"https://openalex.org/C154507838","wikidata":"https://www.wikidata.org/wiki/Q7625053","display_name":"Structural risk minimization","level":3,"score":0.7355648279190063},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.7291325330734253},{"id":"https://openalex.org/C40969351","wikidata":"https://www.wikidata.org/wiki/Q3516228","display_name":"Word error rate","level":2,"score":0.6776019334793091},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6262632608413696},{"id":"https://openalex.org/C2777601683","wikidata":"https://www.wikidata.org/wiki/Q6499736","display_name":"Vocabulary","level":2,"score":0.6102926731109619},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6018056273460388},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5201699733734131},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.4970548450946808},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.49625951051712036},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3745473623275757},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.17399677634239197},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07566219568252563},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07249829173088074},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21437/icslp.1998-176","is_oa":false,"landing_page_url":"https://doi.org/10.21437/icslp.1998-176","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"5th International Conference on Spoken Language Processing (ICSLP 1998)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.699999988079071,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W167486346","https://openalex.org/W811578723","https://openalex.org/W854322902","https://openalex.org/W1761010383","https://openalex.org/W2156909104","https://openalex.org/W2166637769","https://openalex.org/W3122330358"],"related_works":["https://openalex.org/W3040691452","https://openalex.org/W2162582511","https://openalex.org/W4245698648","https://openalex.org/W2401394187","https://openalex.org/W2405257913","https://openalex.org/W4298067941","https://openalex.org/W3133710586","https://openalex.org/W2125964738","https://openalex.org/W2098529290","https://openalex.org/W2026402306"],"abstract_inverted_index":{"Hidden":[0],"Markov":[1],"models":[2],"(HMM)":[3],"with":[4],"Gaussian":[5],"mixture":[6],"observation":[7],"densities":[8],"are":[9,154],"the":[10,67,72,78,84,128,157],"dominant":[11],"approach":[12],"in":[13],"speech":[14,57,89],"recognition.":[15],"These":[16],"systems":[17],"typically":[18],"use":[19],"a":[20,42,53,103,111,124,133],"representational":[21,73],"model":[22],"for":[23,56],"acoustic":[24,79],"modeling":[25],"which":[26],"can":[27],"often":[28],"be":[29],"prone":[30],"to":[31,37,69,118,142],"overfitting":[32],"and":[33,74],"does":[34],"not":[35],"translate":[36],"improved":[38],"discrimination.":[39],"We":[40,81],"propose":[41],"new":[43],"paradigm":[44],"centered":[45],"on":[46,60,110],"principles":[47],"of":[48,77,108],"structural":[49],"risk":[50],"minimization":[51],"using":[52],"discriminative":[54,75],"framework":[55],"recognition":[58,90],"based":[59],"support":[61],"vector":[62],"machines":[63],"(SVMs).":[64],"SVMs":[65,153],"have":[66,82],"ability":[68,76],"simultaneously":[70],"optimize":[71],"classifiers.":[80],"developed":[83],"first":[85],"SVM-based":[86],"large":[87,125],"vocabulary":[88,126],"system":[91,101,129,136],"that":[92,150],"improves":[93,130],"performance":[94,131],"over":[95,132],"traditional":[96,134],"HMM-based":[97],"systems.":[98],"This":[99,144],"hybrid":[100,158],"achieves":[102],"state-of-the-art":[104],"word":[105,139],"error":[106,140],"rate":[107,141],"10.6%":[109],"continuous":[112],"alphadigit":[113],"task\u2014a":[114],"10%":[115],"improvement":[116],"relative":[117],"an":[119],"HMM":[120,135],"system.":[121,159],"On":[122],"SWITCHBOARD,":[123],"task,":[127],"from":[137],"41.6%":[138],"40.6%.":[143],"dissertation":[145],"discusses":[146],"several":[147],"practical":[148],"issues":[149],"arise":[151],"when":[152],"incorporated":[155],"into":[156]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":6},{"year":2013,"cited_by_count":6},{"year":2012,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}