{"id":"https://openalex.org/W95870201","doi":"https://doi.org/10.21437/icslp.2002-64","title":"Incremental on-line feature space MLLR adaptation for telephony speech recognition","display_name":"Incremental on-line feature space MLLR adaptation for telephony speech recognition","publication_year":2002,"publication_date":"2002-09-16","ids":{"openalex":"https://openalex.org/W95870201","doi":"https://doi.org/10.21437/icslp.2002-64","mag":"95870201"},"language":"en","primary_location":{"id":"doi:10.21437/icslp.2002-64","is_oa":false,"landing_page_url":"https://doi.org/10.21437/icslp.2002-64","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"7th International Conference on Spoken Language Processing (ICSLP 2002)","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/A5100405243","display_name":"Yongxin Li","orcid":"https://orcid.org/0000-0002-0914-6386"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yongxin Li","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065994318","display_name":"Hakan Erdo\u011fan","orcid":"https://orcid.org/0000-0003-3140-8642"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hakan Erdogan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074146436","display_name":"Yuqing Gao","orcid":"https://orcid.org/0000-0001-8709-8378"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yuqing Gao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5010196081","display_name":"Etienne Marcheret","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Etienne Marcheret","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":37,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1417","last_page":"1420"},"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":0.9987000226974487,"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":0.9952999949455261,"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/adaptation","display_name":"Adaptation (eye)","score":0.7530937194824219},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7411028146743774},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6744880676269531},{"id":"https://openalex.org/keywords/telephony","display_name":"Telephony","score":0.6235795021057129},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.5666075944900513},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5364106297492981},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.5321390628814697},{"id":"https://openalex.org/keywords/line","display_name":"Line (geometry)","score":0.5129584670066833},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45897573232650757},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4496779441833496},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.4483014941215515},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.43301984667778015},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2682604193687439},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14110124111175537},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.11044421792030334},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09656819701194763}],"concepts":[{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.7530937194824219},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7411028146743774},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6744880676269531},{"id":"https://openalex.org/C195358072","wikidata":"https://www.wikidata.org/wiki/Q944584","display_name":"Telephony","level":2,"score":0.6235795021057129},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.5666075944900513},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5364106297492981},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.5321390628814697},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.5129584670066833},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45897573232650757},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4496779441833496},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.4483014941215515},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.43301984667778015},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2682604193687439},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14110124111175537},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.11044421792030334},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09656819701194763},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.21437/icslp.2002-64","is_oa":false,"landing_page_url":"https://doi.org/10.21437/icslp.2002-64","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"7th International Conference on Spoken Language Processing (ICSLP 2002)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.136.6516","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.136.6516","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://people.sabanciuniv.edu/~haerdogan/pubs/li02iof.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W100642011","https://openalex.org/W128817469","https://openalex.org/W1719099009","https://openalex.org/W1936118753","https://openalex.org/W2002342963","https://openalex.org/W2146871184"],"related_works":["https://openalex.org/W1978572805","https://openalex.org/W2383807498","https://openalex.org/W1997992934","https://openalex.org/W1987225439","https://openalex.org/W4238188170","https://openalex.org/W2125114371","https://openalex.org/W2019977573","https://openalex.org/W2149980199","https://openalex.org/W3125766170","https://openalex.org/W2040641410"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"present":[4,66],"a":[5,30,36],"method":[6,101],"for":[7,20],"incremental":[8,92],"on-line":[9,41,52,91],"adaptation":[10,50,58,71,94,104],"based":[11,76],"on":[12,77,86],"feature":[13,31,62,67],"space":[14,32,63],"Maximum":[15],"Likelihood":[16],"Linear":[17],"Regression":[18],"(FMLLR)":[19],"telephony":[21],"speech":[22],"recognition":[23],"applications.":[24],"We":[25],"explain":[26],"how":[27],"to":[28,64,81],"incorporate":[29],"MLLR":[33],"transform":[34],"into":[35],"stack":[37],"decoder":[38],"and":[39,53,69,99,108],"perform":[40],"adaptation.":[42],"The":[43],"issues":[44],"discussed":[45],"are":[46,106],"as":[47],"follows:":[48],"collecting":[49],"data":[51,59],"in":[54],"real":[55],"time;":[56],"mapping":[57],"from":[60],"previous":[61],"the":[65,103],"space;":[68],"smoothing":[70],"statistics":[72,75,105],"with":[73],"initial":[74],"original":[78],"acoustical":[79],"model":[80],"achieve":[82],"stability.":[83],"Testing":[84],"results":[85],"various":[87],"systems":[88],"demonstrate":[89],"that":[90],"FM-LLR":[93],"could":[95],"be":[96],"an":[97],"effective":[98],"stable":[100],"when":[102],"mapped":[107],"smoothed.":[109],"1.":[110]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":6},{"year":2013,"cited_by_count":4},{"year":2012,"cited_by_count":7}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}