{"id":"https://openalex.org/W1527647802","doi":"https://doi.org/10.21437/eurospeech.2003-573","title":"Lattice segmentation and minimum Bayes risk discriminative training","display_name":"Lattice segmentation and minimum Bayes risk discriminative training","publication_year":2003,"publication_date":"2003-09-01","ids":{"openalex":"https://openalex.org/W1527647802","doi":"https://doi.org/10.21437/eurospeech.2003-573","mag":"1527647802"},"language":"en","primary_location":{"id":"doi:10.21437/eurospeech.2003-573","is_oa":false,"landing_page_url":"https://doi.org/10.21437/eurospeech.2003-573","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"8th European Conference on Speech Communication and Technology (Eurospeech 2003)","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/A5002150822","display_name":"Vlasios Doumpiotis","orcid":null},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vlasios Doumpiotis","raw_affiliation_strings":["Johns Hopkins University ("],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Johns Hopkins University (","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073006801","display_name":"Stavros Tsakalidis","orcid":null},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Stavros Tsakalidis","raw_affiliation_strings":["Johns Hopkins University ("],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Johns Hopkins University (","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"last","author":{"id":null,"display_name":"William J. Byrne","orcid":null},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"William J. Byrne","raw_affiliation_strings":["Johns Hopkins University ("],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Johns Hopkins University (","institution_ids":["https://openalex.org/I145311948"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I145311948"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1985","last_page":"1988"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9980000257492065,"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":0.9890000224113464,"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/discriminative-model","display_name":"Discriminative model","score":0.9598466157913208},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7641344666481018},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6304289698600769},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6001567840576172},{"id":"https://openalex.org/keywords/bayes-theorem","display_name":"Bayes' theorem","score":0.5912676453590393},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5620908141136169},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.5391846299171448},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4874897003173828},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.4780055582523346},{"id":"https://openalex.org/keywords/maximum-a-posteriori-estimation","display_name":"Maximum a posteriori estimation","score":0.42772185802459717},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4191790819168091},{"id":"https://openalex.org/keywords/maximum-likelihood","display_name":"Maximum likelihood","score":0.23848697543144226},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.2272765040397644},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.13681235909461975},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12058639526367188},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.08551955223083496},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.058967411518096924}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.9598466157913208},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7641344666481018},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6304289698600769},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6001567840576172},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.5912676453590393},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5620908141136169},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.5391846299171448},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4874897003173828},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.4780055582523346},{"id":"https://openalex.org/C9810830","wikidata":"https://www.wikidata.org/wiki/Q635384","display_name":"Maximum a posteriori estimation","level":3,"score":0.42772185802459717},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4191790819168091},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.23848697543144226},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.2272765040397644},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.13681235909461975},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12058639526367188},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.08551955223083496},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.058967411518096924}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.21437/eurospeech.2003-573","is_oa":false,"landing_page_url":"https://doi.org/10.21437/eurospeech.2003-573","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"8th European Conference on Speech Communication and Technology (Eurospeech 2003)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.7.962","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.7.962","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.clsp.jhu.edu/~byrne/./ppubs/eurosp03dtsmbr.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.96.4476","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.96.4476","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://mi.eng.cam.ac.uk/~wjb31/ppubs/lseg-mbrdt.sub.pdf","raw_type":"text"},{"id":"pmh:oai:generic.eprints.org:327437","is_oa":false,"landing_page_url":"http://publications.eng.cam.ac.uk/327437/","pdf_url":null,"source":{"id":"https://openalex.org/S4406922847","display_name":"Cambridge University Engineering Department Publications Database","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":"Conference or Workshop Item"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.7400000095367432,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W14913773","https://openalex.org/W173856372","https://openalex.org/W1481751294","https://openalex.org/W1528470941","https://openalex.org/W1574530145","https://openalex.org/W1591977388","https://openalex.org/W1683174183","https://openalex.org/W1904457459","https://openalex.org/W1920923476","https://openalex.org/W1993666847","https://openalex.org/W2099838536","https://openalex.org/W2111164644","https://openalex.org/W2150907703","https://openalex.org/W2594610113"],"related_works":["https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W2146049072","https://openalex.org/W2118877323","https://openalex.org/W2143264198","https://openalex.org/W2537862391","https://openalex.org/W2417174640","https://openalex.org/W2532418359"],"abstract_inverted_index":{"Lattice":[0],"segmentation":[1],"techniques":[2],"developed":[3,45],"for":[4,22,48],"Minimum":[5],"Bayes":[6,94],"Risk":[7],"decoding":[8],"in":[9],"large":[10,52,99],"vocabulary":[11,53,100],"speech":[12,101],"recognition":[13,54,80],"tasks":[14],"are":[15,44,60,71],"used":[16],"to":[17,32,63],"compute":[18],"the":[19,34,38],"statistics":[20],"needed":[21],"discriminative":[23],"training":[24,39],"algorithms":[25],"that":[26],"estimate":[27],"HMM":[28],"parameters":[29],"so":[30],"as":[31],"reduce":[33],"overall":[35],"risk":[36,95,97],"over":[37],"data.":[40],"New":[41],"estimation":[42],"procedures":[43],"and":[46,51,56],"evaluated":[47],"both":[49],"small":[50],"tasks,":[55],"additive":[57],"performance":[58],"improvements":[59],"shown":[61],"relative":[62,69],"maximum":[64,86],"mutual":[65,87],"information":[66,88],"estimation.":[67],"These":[68],"gains":[70],"explained":[72],"through":[73],"a":[74],"detailed":[75],"analysis":[76],"of":[77],"individual":[78],"word":[79],"errors.":[81],"Key":[82],"words:":[83],"Discriminative":[84],"training,":[85],"(MMI)":[89],"estimation,":[90],"acoustic":[91],"modeling,":[92],"minimum":[93],"decoding,":[96],"minimization,":[98],"recognition,":[102],"lattice":[103],"segmentation.":[104],"1":[105]},"counts_by_year":[{"year":2016,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}