{"id":"https://openalex.org/W2091267617","doi":"https://doi.org/10.1109/icassp.2014.6854831","title":"Training time reduction and performance improvements from multilingual techniques on the BABEL ASR task","display_name":"Training time reduction and performance improvements from multilingual techniques on the BABEL ASR task","publication_year":2014,"publication_date":"2014-05-01","ids":{"openalex":"https://openalex.org/W2091267617","doi":"https://doi.org/10.1109/icassp.2014.6854831","mag":"2091267617"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2014.6854831","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2014.6854831","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5065183855","display_name":"Sebastian St\u00fcker","orcid":null},"institutions":[{"id":"https://openalex.org/I102335020","display_name":"Karlsruhe Institute of Technology","ror":"https://ror.org/04t3en479","country_code":"DE","type":"education","lineage":["https://openalex.org/I102335020","https://openalex.org/I1305996414"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Sebastian Stuker","raw_affiliation_strings":["Institute for Anthropomatics, Karlsruhe Institute of Technology, Germany","[Institute for Anthropomatics, Karlsruhe Institute of Technology, Karlsruhe, Germany]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Anthropomatics, Karlsruhe Institute of Technology, Germany","institution_ids":["https://openalex.org/I102335020"]},{"raw_affiliation_string":"[Institute for Anthropomatics, Karlsruhe Institute of Technology, Karlsruhe, Germany]","institution_ids":["https://openalex.org/I102335020"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106134095","display_name":"Markus M\u00fcller","orcid":null},"institutions":[{"id":"https://openalex.org/I102335020","display_name":"Karlsruhe Institute of Technology","ror":"https://ror.org/04t3en479","country_code":"DE","type":"education","lineage":["https://openalex.org/I102335020","https://openalex.org/I1305996414"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Markus Muller","raw_affiliation_strings":["Institute for Anthropomatics, Karlsruhe Institute of Technology, Germany","[Institute for Anthropomatics, Karlsruhe Institute of Technology, Karlsruhe, Germany]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Anthropomatics, Karlsruhe Institute of Technology, Germany","institution_ids":["https://openalex.org/I102335020"]},{"raw_affiliation_string":"[Institute for Anthropomatics, Karlsruhe Institute of Technology, Karlsruhe, Germany]","institution_ids":["https://openalex.org/I102335020"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001160212","display_name":"Qu\u1ed1c B\u1ea3o Nguy\u1ec5n","orcid":"https://orcid.org/0000-0001-8172-8578"},"institutions":[{"id":"https://openalex.org/I102335020","display_name":"Karlsruhe Institute of Technology","ror":"https://ror.org/04t3en479","country_code":"DE","type":"education","lineage":["https://openalex.org/I102335020","https://openalex.org/I1305996414"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Quoc Bao Nguyen","raw_affiliation_strings":["Institute for Anthropomatics, Karlsruhe Institute of Technology, Germany","[Institute for Anthropomatics, Karlsruhe Institute of Technology, Karlsruhe, Germany]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Anthropomatics, Karlsruhe Institute of Technology, Germany","institution_ids":["https://openalex.org/I102335020"]},{"raw_affiliation_string":"[Institute for Anthropomatics, Karlsruhe Institute of Technology, Karlsruhe, Germany]","institution_ids":["https://openalex.org/I102335020"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110453805","display_name":"Alex Waibel","orcid":null},"institutions":[{"id":"https://openalex.org/I102335020","display_name":"Karlsruhe Institute of Technology","ror":"https://ror.org/04t3en479","country_code":"DE","type":"education","lineage":["https://openalex.org/I102335020","https://openalex.org/I1305996414"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Alex Waibel","raw_affiliation_strings":["Institute for Anthropomatics, Karlsruhe Institute of Technology, Germany","[Institute for Anthropomatics, Karlsruhe Institute of Technology, Karlsruhe, Germany]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Anthropomatics, Karlsruhe Institute of Technology, Germany","institution_ids":["https://openalex.org/I102335020"]},{"raw_affiliation_string":"[Institute for Anthropomatics, Karlsruhe Institute of Technology, Karlsruhe, Germany]","institution_ids":["https://openalex.org/I102335020"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I102335020"],"apc_list":null,"apc_paid":null,"fwci":1.0339,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.78528972,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"6374","last_page":"6378"},"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/T10860","display_name":"Speech and Audio Processing","score":0.996399998664856,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9959999918937683,"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/computer-science","display_name":"Computer science","score":0.8631319403648376},{"id":"https://openalex.org/keywords/vietnamese","display_name":"Vietnamese","score":0.7770521640777588},{"id":"https://openalex.org/keywords/tagalog","display_name":"Tagalog","score":0.6492368578910828},{"id":"https://openalex.org/keywords/word-error-rate","display_name":"Word error rate","score":0.6320173740386963},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.624661386013031},{"id":"https://openalex.org/keywords/turkish","display_name":"Turkish","score":0.5607690215110779},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5490161180496216},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5479403734207153},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5397914052009583},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.47764503955841064},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.4418858587741852},{"id":"https://openalex.org/keywords/bootstrapping","display_name":"Bootstrapping (finance)","score":0.43743178248405457},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.10762608051300049}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8631319403648376},{"id":"https://openalex.org/C103621254","wikidata":"https://www.wikidata.org/wiki/Q9199","display_name":"Vietnamese","level":2,"score":0.7770521640777588},{"id":"https://openalex.org/C2779388314","wikidata":"https://www.wikidata.org/wiki/Q34057","display_name":"Tagalog","level":2,"score":0.6492368578910828},{"id":"https://openalex.org/C40969351","wikidata":"https://www.wikidata.org/wiki/Q3516228","display_name":"Word error rate","level":2,"score":0.6320173740386963},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.624661386013031},{"id":"https://openalex.org/C2781121862","wikidata":"https://www.wikidata.org/wiki/Q256","display_name":"Turkish","level":2,"score":0.5607690215110779},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5490161180496216},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5479403734207153},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5397914052009583},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.47764503955841064},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.4418858587741852},{"id":"https://openalex.org/C207609745","wikidata":"https://www.wikidata.org/wiki/Q4944086","display_name":"Bootstrapping (finance)","level":2,"score":0.43743178248405457},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.10762608051300049},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C106159729","wikidata":"https://www.wikidata.org/wiki/Q2294553","display_name":"Financial economics","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2014.6854831","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2014.6854831","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.7699999809265137,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1501286448","https://openalex.org/W1970088388","https://openalex.org/W1970890968","https://openalex.org/W1978660892","https://openalex.org/W1993561131","https://openalex.org/W1994606281","https://openalex.org/W2033436836","https://openalex.org/W2059314128","https://openalex.org/W2105099419","https://openalex.org/W2106554350","https://openalex.org/W2107553890","https://openalex.org/W2123237149","https://openalex.org/W2136922672","https://openalex.org/W2147768505","https://openalex.org/W2401271578","https://openalex.org/W2407441242","https://openalex.org/W6713052089"],"related_works":["https://openalex.org/W3212836698","https://openalex.org/W2901286616","https://openalex.org/W3113733647","https://openalex.org/W4206924063","https://openalex.org/W2901718966","https://openalex.org/W3042674643","https://openalex.org/W2480458551","https://openalex.org/W2146197305","https://openalex.org/W2134950286","https://openalex.org/W4388692821"],"abstract_inverted_index":{"In":[0,26],"the":[1,10,52,55,67,72,89,94],"IARPA":[2],"sponsored":[3],"program":[4],"BABEL":[5],"we":[6,29],"are":[7,47],"faced":[8],"with":[9,39],"challenge":[11],"of":[12,58,84,93],"training":[13,56],"automatic":[14],"speech":[15],"recognition":[16,78],"systems":[17,79,86],"in":[18,22,37],"sparse":[19],"data":[20],"conditions":[21],"very":[23],"little":[24],"time.":[25],"this":[27,76],"paper":[28],"show":[30,75],"that":[31,46],"by":[32],"using":[33],"multilingual":[34,40,85],"bootstrapping":[35],"techniques":[36],"combination":[38],"deep":[41],"belief":[42],"bottle":[43],"neck":[44],"features":[45],"only":[48],"fine":[49],"tuned":[50],"on":[51,80,88],"target":[53],"language":[54],"time":[57],"an":[59],"LVCSR":[60],"system":[61],"can":[62],"be":[63],"essentially":[64],"halved":[65],"while":[66],"word":[68],"error":[69],"rate":[70],"stays":[71],"same.":[73],"We":[74],"for":[77],"Tagalog,":[81],"making":[82],"use":[83],"trained":[87],"other":[90],"four":[91],"languages":[92],"Babel":[95],"base":[96],"period:":[97],"Cantonese,":[98],"Pashto,":[99],"Turkish,":[100],"and":[101],"Vietnamese.":[102]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":4}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}