{"id":"https://openalex.org/W2148177126","doi":"https://doi.org/10.1109/icassp.2005.1416353","title":"Large Margin HMMs for Speech Recognition","display_name":"Large Margin HMMs for Speech Recognition","publication_year":2006,"publication_date":"2006-10-04","ids":{"openalex":"https://openalex.org/W2148177126","doi":"https://doi.org/10.1109/icassp.2005.1416353","mag":"2148177126"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2005.1416353","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2005.1416353","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005.","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/A5100461519","display_name":"Xinwei Li","orcid":"https://orcid.org/0000-0003-0911-5130"},"institutions":[{"id":"https://openalex.org/I192455969","display_name":"York University","ror":"https://ror.org/05fq50484","country_code":"CA","type":"education","lineage":["https://openalex.org/I192455969"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Xinwei Li","raw_affiliation_strings":["Department of Computer Science and Engineering, York University, Toronto, ONT, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, York University, Toronto, ONT, Canada","institution_ids":["https://openalex.org/I192455969"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101454723","display_name":"Hui Jiang","orcid":"https://orcid.org/0000-0003-4062-7206"},"institutions":[{"id":"https://openalex.org/I192455969","display_name":"York University","ror":"https://ror.org/05fq50484","country_code":"CA","type":"education","lineage":["https://openalex.org/I192455969"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Hui Jiang","raw_affiliation_strings":["Department of Computer Science and Engineering, York University, Toronto, ONT, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, York University, Toronto, ONT, Canada","institution_ids":["https://openalex.org/I192455969"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004148430","display_name":"Chaojun Liu","orcid":"https://orcid.org/0000-0002-4676-3981"},"institutions":[{"id":"https://openalex.org/I192455969","display_name":"York University","ror":"https://ror.org/05fq50484","country_code":"CA","type":"education","lineage":["https://openalex.org/I192455969"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Chaojun Liu","raw_affiliation_strings":["Department of Computer Science and Engineering, York University, Toronto, ONT, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, York University, Toronto, ONT, Canada","institution_ids":["https://openalex.org/I192455969"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100461519"],"corresponding_institution_ids":["https://openalex.org/I192455969"],"apc_list":null,"apc_paid":null,"fwci":14.0042,"has_fulltext":false,"cited_by_count":50,"citation_normalized_percentile":{"value":0.98958169,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"5","issue":null,"first_page":"513","last_page":"516"},"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":0.9979000091552734,"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":0.9947999715805054,"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":0.7986938953399658},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.7041026949882507},{"id":"https://openalex.org/keywords/minimax","display_name":"Minimax","score":0.6482991576194763},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5992687344551086},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5147912502288818},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.48257866501808167},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4747500717639923},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4200670123100281},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3271382451057434},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3207165598869324},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.26831918954849243},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.23741188645362854}],"concepts":[{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.7986938953399658},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.7041026949882507},{"id":"https://openalex.org/C149728462","wikidata":"https://www.wikidata.org/wiki/Q751319","display_name":"Minimax","level":2,"score":0.6482991576194763},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5992687344551086},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5147912502288818},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.48257866501808167},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4747500717639923},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4200670123100281},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3271382451057434},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3207165598869324},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.26831918954849243},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.23741188645362854}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2005.1416353","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2005.1416353","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005.","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.5099999904632568}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1516359365","https://openalex.org/W2003123121","https://openalex.org/W2100220834","https://openalex.org/W2108672476","https://openalex.org/W2110467295","https://openalex.org/W2139686264","https://openalex.org/W2158289097","https://openalex.org/W2158592557","https://openalex.org/W2168171912","https://openalex.org/W6630868769","https://openalex.org/W6675222058","https://openalex.org/W6680627905"],"related_works":["https://openalex.org/W2016058626","https://openalex.org/W2136763963","https://openalex.org/W2109705048","https://openalex.org/W2940588515","https://openalex.org/W1909151225","https://openalex.org/W2160030256","https://openalex.org/W1521297879","https://openalex.org/W4253235840","https://openalex.org/W3151937861","https://openalex.org/W2074145420"],"abstract_inverted_index":{"Motivated":[0],"by":[1,115,128],"large":[2,40,50,139,162],"margin":[3,41,51,140,163],"classifiers":[4,142],"in":[5,22,96,145],"machine":[6],"learning,":[7],"we":[8,44,66,104,123],"propose":[9,67],"a":[10,15,59,82,129,146],"novel":[11],"method":[12],"to":[13,26,73,84],"estimate":[14],"continuous":[16],"density":[17],"hidden":[18],"Markov":[19],"model":[20,80,100],"(CDHMM)":[21],"speech":[23,149],"recognition":[24,150],"according":[25],"the":[27,31,75,87,91,97,110,116,125,153,161],"principle":[28],"of":[29,49,90,99,135],"maximizing":[30],"minimum":[32,185],"multi-class":[33],"separation":[34],"margin.":[35],"The":[36,138],"approach":[37,72],"is":[38],"named":[39],"HMM.":[42],"First,":[43],"show":[45,105,159],"that":[46,86,106,160],"this":[47],"type":[48],"HMM":[52,175],"estimation":[53,182],"problem":[54],"can":[55,112,165],"be":[56,113],"formulated":[57],"as":[58,133,179],"standard":[60],"constrained":[61],"minimax":[62,76],"optimization":[63,71,77,111],"problem.":[64],"Second,":[65],"an":[68],"iterative":[69],"localized":[70],"perform":[74],"for":[78],"one":[79],"at":[81],"time":[83],"guarantee":[85],"optimal":[88],"value":[89],"objective":[92,126],"function":[93,127],"always":[94],"exists":[95],"course":[98],"parameter":[101],"optimization.":[102],"Then,":[103],"during":[107],"each":[108],"step":[109],"solved":[114],"GPD":[117],"(generalized":[118],"probabilistic":[119],"descent)":[120],"algorithm":[121],"if":[122],"approximate":[124],"differentiable":[130],"function,":[131],"such":[132,178],"summation":[134],"exponential":[136],"functions.":[137],"HMM-based":[141],"are":[143],"evaluated":[144],"speaker-independent":[147],"E-set":[148],"task":[151],"using":[152],"OGI":[154],"ISOLET":[155],"database.":[156],"Experimental":[157],"results":[158],"HMMs":[164],"achieve":[166],"significant":[167],"word":[168],"error":[169,187],"rate":[170],"(WER)":[171],"reduction":[172],"over":[173],"conventional":[174],"training":[176],"methods,":[177],"maximum":[180],"likelihood":[181],"(MLE)":[183],"and":[184],"classification":[186],"(MCE)":[188],"training.":[189]},"counts_by_year":[{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":4},{"year":2012,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
