{"id":"https://openalex.org/W1878324503","doi":"https://doi.org/10.21437/interspeech.2004-190","title":"Apply n-best list re-ranking to acoustic model combinations of boosting training","display_name":"Apply n-best list re-ranking to acoustic model combinations of boosting training","publication_year":2004,"publication_date":"2004-10-04","ids":{"openalex":"https://openalex.org/W1878324503","doi":"https://doi.org/10.21437/interspeech.2004-190","mag":"1878324503"},"language":"en","primary_location":{"id":"doi:10.21437/interspeech.2004-190","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2004-190","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2004","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://figshare.com/articles/journal_contribution/Apply_N-Best_List_Re-Ranking_to_Acoustic_Model_Combinations_of_Boosting_Training/6603539","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100451786","display_name":"Rong Zhang","orcid":"https://orcid.org/0000-0002-2288-2847"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rong Zhang","raw_affiliation_strings":["Carnegie Mellon University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040668817","display_name":"Alexander I. Rudnicky","orcid":"https://orcid.org/0000-0003-2044-8446"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alexander Rudnicky","raw_affiliation_strings":["Carnegie Mellon University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I74973139"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1949","last_page":"1952"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9998000264167786,"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":0.9998000264167786,"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/T11309","display_name":"Music and Audio Processing","score":0.9973999857902527,"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/T10860","display_name":"Speech and Audio Processing","score":0.9955999851226807,"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/boosting","display_name":"Boosting (machine learning)","score":0.8209935426712036},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7531256675720215},{"id":"https://openalex.org/keywords/word-error-rate","display_name":"Word error rate","score":0.7183316349983215},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5691867470741272},{"id":"https://openalex.org/keywords/utterance","display_name":"Utterance","score":0.5372014045715332},{"id":"https://openalex.org/keywords/correctness","display_name":"Correctness","score":0.5360296964645386},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4893476366996765},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.4433210492134094},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37527644634246826},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34823745489120483},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1720716953277588}],"concepts":[{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.8209935426712036},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7531256675720215},{"id":"https://openalex.org/C40969351","wikidata":"https://www.wikidata.org/wiki/Q3516228","display_name":"Word error rate","level":2,"score":0.7183316349983215},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5691867470741272},{"id":"https://openalex.org/C2775852435","wikidata":"https://www.wikidata.org/wiki/Q258403","display_name":"Utterance","level":2,"score":0.5372014045715332},{"id":"https://openalex.org/C55439883","wikidata":"https://www.wikidata.org/wiki/Q360812","display_name":"Correctness","level":2,"score":0.5360296964645386},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4893476366996765},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.4433210492134094},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37527644634246826},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34823745489120483},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1720716953277588}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.21437/interspeech.2004-190","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2004-190","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2004","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.cmu.edu:compsci-2388","is_oa":false,"landing_page_url":"http://repository.cmu.edu/compsci/1389","pdf_url":null,"source":{"id":"https://openalex.org/S7407050927","display_name":"KiltHub Repository","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":"Computer Science Department","raw_type":"text"},{"id":"pmh:doi:10.1184/r1/6603539","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","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":"Journal contribution"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.125.4700","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.125.4700","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.cmu.edu/~rongz/icslp_2004_reranking.pdf","raw_type":"text"},{"id":"pmh:oai:figshare.com:article/6603539","is_oa":true,"landing_page_url":"https://figshare.com/articles/journal_contribution/Apply_N-Best_List_Re-Ranking_to_Acoustic_Model_Combinations_of_Boosting_Training/6603539","pdf_url":null,"source":{"id":"https://openalex.org/S4306402621","display_name":"INDIGO (University of Illinois at Chicago)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I39422238","host_organization_name":"University of Illinois Chicago","host_organization_lineage":["https://openalex.org/I39422238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},{"id":"doi:10.1184/r1/6603539.v1","is_oa":true,"landing_page_url":"https://doi.org/10.1184/r1/6603539.v1","pdf_url":null,"source":{"id":"https://openalex.org/S7407050927","display_name":"KiltHub Repository","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":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"JournalArticle"}],"best_oa_location":{"id":"pmh:oai:figshare.com:article/6603539","is_oa":true,"landing_page_url":"https://figshare.com/articles/journal_contribution/Apply_N-Best_List_Re-Ranking_to_Acoustic_Model_Combinations_of_Boosting_Training/6603539","pdf_url":null,"source":{"id":"https://openalex.org/S4306402621","display_name":"INDIGO (University of Illinois at Chicago)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I39422238","host_organization_name":"University of Illinois Chicago","host_organization_lineage":["https://openalex.org/I39422238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.6299999952316284,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320332180","display_name":"Defense Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W140747314","https://openalex.org/W1482666487","https://openalex.org/W1540371141","https://openalex.org/W1589776364","https://openalex.org/W1904457459","https://openalex.org/W2093677674","https://openalex.org/W2119442556","https://openalex.org/W2128022812","https://openalex.org/W2151345160","https://openalex.org/W2166810516","https://openalex.org/W3146702093"],"related_works":["https://openalex.org/W1667647204","https://openalex.org/W2404647514","https://openalex.org/W4247536566","https://openalex.org/W2529301793","https://openalex.org/W2384121599","https://openalex.org/W2018477250","https://openalex.org/W2038083449","https://openalex.org/W3119814709","https://openalex.org/W4241418540","https://openalex.org/W2119113516"],"abstract_inverted_index":{"The":[0],"object":[1],"function":[2],"for":[3],"Boosting":[4],"training":[5],"method":[6],"in":[7,27,77],"acoustic":[8],"modeling":[9],"aims":[10],"to":[11,56,61],"reduce":[12],"utterance":[13],"level":[14,96],"error":[15,31],"rate.":[16,32],"This":[17,33],"is":[18,54,75],"different":[19],"from":[20],"the":[21,37,62,92],"most":[22],"commonly":[23],"used":[24],"performance":[25,74],"metric":[26],"speech":[28],"recognition,":[29],"word":[30,69],"paper":[34],"proposes":[35],"that":[36,90],"combination":[38,53],"of":[39,72,94],"N-best":[40],"list":[41],"re-ranking":[42],"and":[43,66,84],"ROVER":[44],"can":[45],"partly":[46],"address":[47],"this":[48],"problem.":[49],"In":[50,80],"particular,":[51],"model":[52],"applied":[55],"re-ranked":[57],"hypotheses":[58,65],"rather":[59],"than":[60],"original":[63],"top-1":[64],"carried":[67],"on":[68],"level.":[70],"Improvement":[71],"system":[73],"observed":[76],"our":[78],"experiments.":[79],"addition,":[81],"we":[82],"describe":[83],"evaluate":[85],"a":[86],"new":[87],"confidence":[88],"feature":[89],"measures":[91],"correctness":[93],"frame":[95],"decoding":[97],"result.":[98]},"counts_by_year":[{"year":2014,"cited_by_count":1}],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2025-10-10T00:00:00"}