{"id":"https://openalex.org/W2100220834","doi":"https://doi.org/10.1109/icassp.2005.1415060","title":"Discriminative Training of CDHMMs for Maximum Relative Separation Margin","display_name":"Discriminative Training of CDHMMs for Maximum Relative Separation Margin","publication_year":2006,"publication_date":"2006-10-11","ids":{"openalex":"https://openalex.org/W2100220834","doi":"https://doi.org/10.1109/icassp.2005.1415060","mag":"2100220834"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2005.1415060","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2005.1415060","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/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":true,"raw_author_name":"Chaojun Liu","raw_affiliation_strings":["Department of Computer Science and Engineering, York University, Toronto, ONT, Canada","[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"]},{"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/A5008456610","display_name":"Hui Jiang","orcid":"https://orcid.org/0000-0002-6257-8145"},"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","[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"]},{"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/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":false,"raw_author_name":"Xinwei Li","raw_affiliation_strings":["Department of Computer Science and Engineering, York University, Toronto, ONT, Canada","[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"]},{"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/A5004148430"],"corresponding_institution_ids":["https://openalex.org/I192455969"],"apc_list":null,"apc_paid":null,"fwci":7.2291,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.96907179,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"1","issue":null,"first_page":"101","last_page":"104"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9993000030517578,"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":0.9993000030517578,"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":0.9970999956130981,"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":0.9721999764442444,"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/discriminative-model","display_name":"Discriminative model","score":0.7405937314033508},{"id":"https://openalex.org/keywords/minimax","display_name":"Minimax","score":0.698065996170044},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5923997163772583},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.5852344632148743},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.5531736612319946},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.4632692337036133},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45670318603515625},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45373645424842834},{"id":"https://openalex.org/keywords/separation","display_name":"Separation (statistics)","score":0.4457792639732361},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.4387419819831848},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.4175177812576294},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.41577839851379395},{"id":"https://openalex.org/keywords/word-error-rate","display_name":"Word error rate","score":0.4129783809185028},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.34765738248825073},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3259013295173645},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2800390124320984}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7405937314033508},{"id":"https://openalex.org/C149728462","wikidata":"https://www.wikidata.org/wiki/Q751319","display_name":"Minimax","level":2,"score":0.698065996170044},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5923997163772583},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.5852344632148743},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.5531736612319946},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.4632692337036133},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45670318603515625},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45373645424842834},{"id":"https://openalex.org/C2776061190","wikidata":"https://www.wikidata.org/wiki/Q7451805","display_name":"Separation (statistics)","level":2,"score":0.4457792639732361},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.4387419819831848},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.4175177812576294},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.41577839851379395},{"id":"https://openalex.org/C40969351","wikidata":"https://www.wikidata.org/wiki/Q3516228","display_name":"Word error rate","level":2,"score":0.4129783809185028},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.34765738248825073},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3259013295173645},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2800390124320984},{"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:10.1109/icassp.2005.1415060","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2005.1415060","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":[{"score":0.75,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1516359365","https://openalex.org/W2003123121","https://openalex.org/W2108672476","https://openalex.org/W2110467295","https://openalex.org/W2131385129","https://openalex.org/W2131525232","https://openalex.org/W2158289097","https://openalex.org/W2158592557","https://openalex.org/W6630868769","https://openalex.org/W6679553499"],"related_works":["https://openalex.org/W2167155152","https://openalex.org/W2150890698","https://openalex.org/W2162582511","https://openalex.org/W4245698648","https://openalex.org/W2401394187","https://openalex.org/W2405257913","https://openalex.org/W3133710586","https://openalex.org/W2125964738","https://openalex.org/W2098529290","https://openalex.org/W2026402306"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,51],"propose":[4],"a":[5,44,61],"new":[6,37,79],"discriminative":[7],"training":[8,38,80,98],"method":[9],"for":[10],"estimating":[11],"CDHMM":[12],"(continuous":[13],"density":[14],"hidden":[15],"Markov":[16],"model)":[17],"in":[18],"speech":[19],"recognition,":[20],"based":[21],"on":[22,69],"the":[23,27,36,54,78,92],"principle":[24],"of":[25],"maximizing":[26],"minimum":[28],"relative":[29],"multi-class":[30],"separation":[31],"margin.":[32],"We":[33],"show":[34,52],"that":[35,53,77],"criterion":[39,81],"can":[40,57,82],"be":[41,58],"formulated":[42],"as":[43],"standard":[45],"constrained":[46],"minimax":[47],"optimization":[48,55],"problem.":[49],"Then":[50],"problem":[56],"solved":[59],"by":[60],"GPD":[62],"(generalized":[63],"probabilistic":[64],"descent)":[65],"algorithm.":[66],"Experimental":[67],"results":[68],"E-set":[70],"and":[71],"Alphabet":[72],"tasks":[73],"(ISOLET":[74],"database)":[75],"showed":[76],"achieve":[83],"significant":[84],"(up":[85],"to":[86],"21%)":[87],"error":[88],"rate":[89],"reduction":[90],"over":[91],"popular":[93],"MCE":[94],"(minimum":[95],"classification":[96],"error)":[97],"method.":[99]},"counts_by_year":[{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}