{"id":"https://openalex.org/W2183282870","doi":"https://doi.org/10.21437/interspeech.2011-102","title":"Noise robust feature extraction based on extended weighted linear prediction in LVCSR","display_name":"Noise robust feature extraction based on extended weighted linear prediction in LVCSR","publication_year":2011,"publication_date":"2011-08-27","ids":{"openalex":"https://openalex.org/W2183282870","doi":"https://doi.org/10.21437/interspeech.2011-102","mag":"2183282870"},"language":"en","primary_location":{"id":"doi:10.21437/interspeech.2011-102","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2011-102","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2011","raw_type":"proceedings-article"},"type":"article","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/A5056123362","display_name":"Sami Keronen","orcid":null},"institutions":[{"id":"https://openalex.org/I9927081","display_name":"Aalto University","ror":"https://ror.org/020hwjq30","country_code":"FI","type":"education","lineage":["https://openalex.org/I9927081"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Sami Keronen","raw_affiliation_strings":["Aalto Univ"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aalto Univ","institution_ids":["https://openalex.org/I9927081"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008322847","display_name":"Jouni Pohjalainen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jouni Pohjalainen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042186400","display_name":"Paavo Alku","orcid":"https://orcid.org/0000-0002-8173-9418"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Paavo Alku","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5043424064","display_name":"Mikko Kurimo","orcid":"https://orcid.org/0000-0001-5278-7974"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mikko Kurimo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.4967,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.90478051,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1265","last_page":"1268"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9997000098228455,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9994999766349792,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9965999722480774,"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/linear-prediction","display_name":"Linear prediction","score":0.7696211338043213},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7274900078773499},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.7238763570785522},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6119387745857239},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.6062031984329224},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5354424118995667},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5191113948822021},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4736781418323517},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.4608267545700073},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4306219816207886},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17049288749694824}],"concepts":[{"id":"https://openalex.org/C131109320","wikidata":"https://www.wikidata.org/wiki/Q581012","display_name":"Linear prediction","level":2,"score":0.7696211338043213},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7274900078773499},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.7238763570785522},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6119387745857239},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.6062031984329224},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5354424118995667},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5191113948822021},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4736781418323517},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.4608267545700073},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4306219816207886},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17049288749694824},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21437/interspeech.2011-102","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2011-102","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2011","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1607274768","https://openalex.org/W1966264494","https://openalex.org/W2026408911","https://openalex.org/W2043527182","https://openalex.org/W2090861223","https://openalex.org/W2106554350","https://openalex.org/W2135027063","https://openalex.org/W2142937603","https://openalex.org/W2146805072","https://openalex.org/W2148154194","https://openalex.org/W2159018645","https://openalex.org/W2166223208","https://openalex.org/W2402261002","https://openalex.org/W2725526641"],"related_works":["https://openalex.org/W2180954594","https://openalex.org/W2052835778","https://openalex.org/W2049003611","https://openalex.org/W2127804977","https://openalex.org/W2108418243","https://openalex.org/W164103134","https://openalex.org/W2787352659","https://openalex.org/W4206560911","https://openalex.org/W1970611213","https://openalex.org/W2283145973"],"abstract_inverted_index":{"This":[0],"paper":[1],"introduces":[2],"extended":[3],"weighted":[4,35],"linear":[5,30,36,130],"prediction":[6,31,37],"(XLP)":[7],"to":[8,44,56],"noise":[9,45,134],"robust":[10,46],"short-time":[11],"spectrum":[12,92],"analysis":[13,93],"in":[14,78,125],"the":[15,57,64,71,74,81,122],"feature":[16],"extraction":[17],"process":[18],"of":[19,28,60,63,73,83],"a":[20,26,99],"speech":[21,47,66,103,136],"recognition":[22,48,104,137],"system.":[23],"XLP":[24,84],"is":[25,67,85],"generalization":[27],"standard":[29],"(LP)":[32],"and":[33,90,96,114],"temporally":[34],"(WLP)":[38],"which":[39],"have":[40],"already":[41],"been":[42],"applied":[43],"with":[49],"good":[50],"results.":[51],"With":[52],"XLP,":[53],"higher":[54],"controllability":[55],"temporal":[58,132],"weighting":[59],"different":[61],"parts":[62],"noisy":[65,110],"gained":[68],"by":[69],"taking":[70],"lags":[72],"signal":[75],"into":[76],"account":[77],"prediction.":[79],"Here,":[80],"performance":[82],"put":[86],"up":[87],"against":[88],"WLP":[89],"conventional":[91],"methods":[94,124],"FFT":[95],"LP":[97],"on":[98],"large":[100],"vocabulary":[101],"continuous":[102],"(LVCSR)":[105],"scheme":[106],"using":[107],"real":[108],"world":[109],"data":[111],"containing":[112],"additive":[113],"convolutive":[115],"noise.":[116],"The":[117],"results":[118],"show":[119],"improvements":[120],"over":[121],"reference":[123],"several":[126],"cases.":[127],"Index":[128],"Terms:":[129],"prediction,":[131],"weighting,":[133],"robust,":[135]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":4},{"year":2012,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}