{"id":"https://openalex.org/W2163525543","doi":"https://doi.org/10.1109/icassp.2006.1660226","title":"Limited Training Data Robust Speech Recognition Using Kernel-Based Acoustic Models","display_name":"Limited Training Data Robust Speech Recognition Using Kernel-Based Acoustic Models","publication_year":2006,"publication_date":"2006-08-03","ids":{"openalex":"https://openalex.org/W2163525543","doi":"https://doi.org/10.1109/icassp.2006.1660226","mag":"2163525543"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2006.1660226","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2006.1660226","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2006 IEEE International Conference on Acoustics Speed and Signal Processing Proceedings","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/A5027512296","display_name":"Martin Schaff\u00f6ner","orcid":null},"institutions":[{"id":"https://openalex.org/I95793202","display_name":"Otto-von-Guericke-Universit\u00e4t Magdeburg","ror":"https://ror.org/00ggpsq73","country_code":"DE","type":"education","lineage":["https://openalex.org/I95793202"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"M. Schaffoner","raw_affiliation_strings":["Department of Electrical Engineering and Information Technology, Otto-von-Guericke University of Magdeburg, Magdeburg, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Information Technology, Otto-von-Guericke University of Magdeburg, Magdeburg, Germany","institution_ids":["https://openalex.org/I95793202"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103327316","display_name":"Sven E. Kr\u00fcger","orcid":null},"institutions":[{"id":"https://openalex.org/I95793202","display_name":"Otto-von-Guericke-Universit\u00e4t Magdeburg","ror":"https://ror.org/00ggpsq73","country_code":"DE","type":"education","lineage":["https://openalex.org/I95793202"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"S.E. Kruger","raw_affiliation_strings":["Department of Electrical Engineering and Information Technology, Otto-von-Guericke University of Magdeburg, Magdeburg, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Information Technology, Otto-von-Guericke University of Magdeburg, Magdeburg, Germany","institution_ids":["https://openalex.org/I95793202"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065105230","display_name":"Edin Andelic","orcid":null},"institutions":[{"id":"https://openalex.org/I95793202","display_name":"Otto-von-Guericke-Universit\u00e4t Magdeburg","ror":"https://ror.org/00ggpsq73","country_code":"DE","type":"education","lineage":["https://openalex.org/I95793202"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"E. Andelic","raw_affiliation_strings":["Department of Electrical Engineering and Information Technology, Otto-von-Guericke University of Magdeburg, Magdeburg, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Information Technology, Otto-von-Guericke University of Magdeburg, Magdeburg, Germany","institution_ids":["https://openalex.org/I95793202"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109553108","display_name":"Marcel Katz","orcid":null},"institutions":[{"id":"https://openalex.org/I95793202","display_name":"Otto-von-Guericke-Universit\u00e4t Magdeburg","ror":"https://ror.org/00ggpsq73","country_code":"DE","type":"education","lineage":["https://openalex.org/I95793202"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"M. Katz","raw_affiliation_strings":["Department of Electrical Engineering and Information Technology, Otto-von-Guericke University of Magdeburg, Magdeburg, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Information Technology, Otto-von-Guericke University of Magdeburg, Magdeburg, Germany","institution_ids":["https://openalex.org/I95793202"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047373591","display_name":"Andreas Wendemuth","orcid":"https://orcid.org/0000-0001-6917-8198"},"institutions":[{"id":"https://openalex.org/I95793202","display_name":"Otto-von-Guericke-Universit\u00e4t Magdeburg","ror":"https://ror.org/00ggpsq73","country_code":"DE","type":"education","lineage":["https://openalex.org/I95793202"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"A. Wendemuth","raw_affiliation_strings":["Department of Electrical Engineering and Information Technology, Otto-von-Guericke University of Magdeburg, Magdeburg, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Information Technology, Otto-von-Guericke University of Magdeburg, Magdeburg, Germany","institution_ids":["https://openalex.org/I95793202"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I95793202"],"apc_list":null,"apc_paid":null,"fwci":0.2454,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.5203931,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":"I","last_page":"1137"},"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/T11309","display_name":"Music and Audio Processing","score":0.9979000091552734,"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":0.9976000189781189,"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/hidden-markov-model","display_name":"Hidden Markov model","score":0.8581169843673706},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6801288723945618},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6552214026451111},{"id":"https://openalex.org/keywords/mixture-model","display_name":"Mixture model","score":0.6247280240058899},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.620647668838501},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5628683567047119},{"id":"https://openalex.org/keywords/word-error-rate","display_name":"Word error rate","score":0.5140451192855835},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5033501982688904},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.4861747622489929},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4712669849395752},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.46829500794410706},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.4311991333961487},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.3805321156978607},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24505099654197693}],"concepts":[{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.8581169843673706},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6801288723945618},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6552214026451111},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.6247280240058899},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.620647668838501},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5628683567047119},{"id":"https://openalex.org/C40969351","wikidata":"https://www.wikidata.org/wiki/Q3516228","display_name":"Word error rate","level":2,"score":0.5140451192855835},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5033501982688904},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.4861747622489929},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4712669849395752},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.46829500794410706},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.4311991333961487},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.3805321156978607},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24505099654197693},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icassp.2006.1660226","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2006.1660226","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2006 IEEE International Conference on Acoustics Speed and Signal Processing Proceedings","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.69.267","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.69.267","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://iesk.et.uni-magdeburg.de/ko/papers/icassp06_ms.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.6000000238418579}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W88081813","https://openalex.org/W155416790","https://openalex.org/W170242364","https://openalex.org/W1486089539","https://openalex.org/W1500174157","https://openalex.org/W1560013842","https://openalex.org/W1604938182","https://openalex.org/W1618905105","https://openalex.org/W1643320849","https://openalex.org/W1947735963","https://openalex.org/W1986280275","https://openalex.org/W2001619934","https://openalex.org/W2157059077","https://openalex.org/W2167477483","https://openalex.org/W2475432418","https://openalex.org/W4230674625","https://openalex.org/W4285719527","https://openalex.org/W6606829109","https://openalex.org/W6630106447","https://openalex.org/W6633431331","https://openalex.org/W6636501900"],"related_works":["https://openalex.org/W4324119469","https://openalex.org/W2164868312","https://openalex.org/W2160650576","https://openalex.org/W2150890698","https://openalex.org/W2401394187","https://openalex.org/W4245698648","https://openalex.org/W3133710586","https://openalex.org/W2125964738","https://openalex.org/W2098529290","https://openalex.org/W2026402306"],"abstract_inverted_index":{"Contemporary":[0],"automatic":[1],"speech":[2,13],"recognition":[3,92],"uses":[4],"hidden-Markov-models":[5],"(HMMs)":[6],"to":[7,95,99,113,122],"model":[8],"the":[9,26,81,107,116,125],"temporal":[10],"structure":[11],"of":[12,25,42,47,64],"where":[14],"one":[15],"HMM":[16],"is":[17,49,56,129],"used":[18],"for":[19],"each":[20],"phonetic":[21],"unit.":[22],"The":[23],"states":[24],"HMMs":[27],"are":[28,37],"associated":[29],"with":[30],"state-conditional":[31,66],"probability":[32],"density":[33],"functions":[34],"(PDFs)":[35],"which":[36],"typically":[38],"realized":[39],"using":[40,68,115],"mixtures":[41],"Gaussian":[43],"PDFs":[44,67],"(GMMs).":[45],"Training":[46],"GMMs":[48],"error-prone":[50],"especially":[51],"if":[52],"training":[53,118,126],"data":[54],"size":[55,128],"limited.":[57],"This":[58],"paper":[59],"evaluates":[60],"two":[61],"new":[62,104],"methods":[63,105],"modeling":[65],"probabilistically":[69],"interpreted":[70],"support":[71],"vector":[72],"machines":[73],"and":[74,120],"kernel":[75],"Fisher":[76],"discriminants.":[77],"Extensive":[78],"experiments":[79],"on":[80],"RMI":[82],"(P.":[83],"Price":[84],"et":[85],"al.,":[86],"1988)":[87],"corpus":[88],"yield":[89],"substantially":[90],"improved":[91],"rates":[93],"compared":[94],"traditional":[96],"GMMs.":[97],"Due":[98],"their":[100],"generalization":[101],"ability,":[102],"our":[103],"reduce":[106],"word":[108],"error":[109],"rate":[110],"by":[111],"up":[112,121],"13%":[114],"complete":[117],"set":[119,127],"33%":[123],"when":[124],"reduced":[130]},"counts_by_year":[],"updated_date":"2026-08-26T07:47:46.906454","created_date":"2025-10-10T00:00:00"}
