{"id":"https://openalex.org/W163096959","doi":"https://doi.org/10.21437/icslp.2000-673","title":"Minimum risk acoustic clustering for multilingual acoustic model combination","display_name":"Minimum risk acoustic clustering for multilingual acoustic model combination","publication_year":2000,"publication_date":"2000-10-16","ids":{"openalex":"https://openalex.org/W163096959","doi":"https://doi.org/10.21437/icslp.2000-673","mag":"163096959"},"language":"en","primary_location":{"id":"doi:10.21437/icslp.2000-673","is_oa":false,"landing_page_url":"https://doi.org/10.21437/icslp.2000-673","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"6th International Conference on Spoken Language Processing (ICSLP 2000)","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/A5060715364","display_name":"Dimitra Vergyri","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dimitra Vergyri","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073006801","display_name":"Stavros Tsakalidis","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Stavros Tsakalidis","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"William Byrne","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"William Byrne","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"vol. 3, 873","last_page":"876"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9919999837875366,"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":0.9919999837875366,"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":0.9764000177383423,"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":0.9763000011444092,"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/cluster-analysis","display_name":"Cluster analysis","score":0.6795825362205505},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6213852167129517},{"id":"https://openalex.org/keywords/acoustic-model","display_name":"Acoustic model","score":0.46892860531806946},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.43562930822372437},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.42615509033203125},{"id":"https://openalex.org/keywords/risk-model","display_name":"Risk model","score":0.41057533025741577},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.19282805919647217},{"id":"https://openalex.org/keywords/speech-processing","display_name":"Speech processing","score":0.11627107858657837},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10976776480674744},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.0749506950378418},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07281631231307983}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6795825362205505},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6213852167129517},{"id":"https://openalex.org/C155635449","wikidata":"https://www.wikidata.org/wiki/Q4674699","display_name":"Acoustic model","level":3,"score":0.46892860531806946},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.43562930822372437},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.42615509033203125},{"id":"https://openalex.org/C2986432223","wikidata":"https://www.wikidata.org/wiki/Q5449740","display_name":"Risk model","level":2,"score":0.41057533025741577},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.19282805919647217},{"id":"https://openalex.org/C61328038","wikidata":"https://www.wikidata.org/wiki/Q3358061","display_name":"Speech processing","level":2,"score":0.11627107858657837},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10976776480674744},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0749506950378418},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07281631231307983}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.21437/icslp.2000-673","is_oa":false,"landing_page_url":"https://doi.org/10.21437/icslp.2000-673","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"6th International Conference on Spoken Language Processing (ICSLP 2000)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.219.4122","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.219.4122","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/people/byrne/ppubs/mrcmlam.icslp00.pdf","raw_type":"text"},{"id":"pmh:oai:generic.eprints.org:329051","is_oa":false,"landing_page_url":"http://publications.eng.cam.ac.uk/329051/","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":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W73572011","https://openalex.org/W1522821972","https://openalex.org/W1526294009","https://openalex.org/W1846073453","https://openalex.org/W1959963859","https://openalex.org/W2105852393","https://openalex.org/W2170101319","https://openalex.org/W2171074980"],"related_works":["https://openalex.org/W2044408773","https://openalex.org/W2130717063","https://openalex.org/W4383605217","https://openalex.org/W2533508831","https://openalex.org/W2742699532","https://openalex.org/W4281389974","https://openalex.org/W1911859126","https://openalex.org/W2158598479","https://openalex.org/W2325482719","https://openalex.org/W2397926608"],"abstract_inverted_index":{"In":[0,104],"this":[1],"paper":[2],"we":[3],"describe":[4],"procedures":[5],"for":[6,26,83],"combining":[7],"multiple":[8,41],"acoustic":[9],"models,":[10],"obtained":[11],"using":[12,142],"training":[13,31],"corpora":[14],"from":[15],"different":[16,84,125,154],"languages,":[17],"in":[18,24,49,65,74,111],"order":[19,105],"to":[20,53,92,98,106,120,149,156,174],"improve":[21],"ASR":[22],"performance":[23],"languages":[25],"which":[27,172],"large":[28],"amounts":[29],"of":[30,43,86,132,135,183],"data":[32],"are":[33,47,118],"not":[34],"available.":[35],"We":[36,152],"treat":[37],"these":[38],"models":[39],"as":[40,97],"sources":[42],"information":[44],"whose":[45],"scores":[46],"combined":[48],"a":[50,66,75,87,130,159,167],"log-linear":[51],"model":[52,59],"compute":[54],"the":[55,94,112,116,133,176,180],"hypothesis":[56,136],"likelihood.":[57],"The":[58,89,138],"combination":[60,71,114],"can":[61,81],"either":[62],"be":[63,121],"performed":[64],"static":[67],"way,":[68,77],"with":[69,78,179],"constant":[70,123],"weights,":[72],"or":[73],"dynamic":[76,113],"parameters":[79,95,117],"that":[80,128,147,165],"vary":[82],"segments":[85,146],"hypothesis.":[88],"aim":[90],"is":[91,140],"optimize":[93],"so":[96],"achieve":[99,107,175],"minimum":[100,177,181],"word":[101],"error":[102],"rate.":[103],"robust":[108],"parameter":[109],"estimation":[110],"case,":[115],"defined":[119],"piecewise":[122],"on":[124,145],"phonetic":[126],"classes":[127],"form":[129],"partition":[131,139,171],"space":[134],"segments.":[137],"defined,":[141],"phonological":[143],"knowledge,":[144],"correspond":[148],"hypothesized":[150],"phones.":[151],"examine":[153],"ways":[155],"define":[157],"such":[158],"partition,":[160],"including":[161],"an":[162],"automatic":[163],"approach":[164],"gives":[166],"binary":[168],"tree":[169],"structured":[170],"tries":[173],"WER":[178],"number":[182],"classes.":[184],"1.":[185]},"counts_by_year":[{"year":2014,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}