{"id":"https://openalex.org/W1984833231","doi":"https://doi.org/10.1109/icassp.2013.6639036","title":"An advanced feature compensation method employing acoustic model with phonetically constrained structure","display_name":"An advanced feature compensation method employing acoustic model with phonetically constrained structure","publication_year":2013,"publication_date":"2013-05-01","ids":{"openalex":"https://openalex.org/W1984833231","doi":"https://doi.org/10.1109/icassp.2013.6639036","mag":"1984833231"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2013.6639036","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2013.6639036","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Acoustics, Speech and Signal Processing","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/A5101977970","display_name":"Wooil Kim","orcid":"https://orcid.org/0000-0002-3854-2783"},"institutions":[{"id":"https://openalex.org/I146429904","display_name":"Incheon National University","ror":"https://ror.org/02xf7p935","country_code":"KR","type":"education","lineage":["https://openalex.org/I146429904"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Wooil Kim","raw_affiliation_strings":["School of Computer Science and Engineering, Incheon National University, Incheon, South Korea","Sch. of Comput. Sci. & Eng., Incheon Nat. Univ., Incheon, South Korea"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Incheon National University, Incheon, South Korea","institution_ids":["https://openalex.org/I146429904"]},{"raw_affiliation_string":"Sch. of Comput. Sci. & Eng., Incheon Nat. Univ., Incheon, South Korea","institution_ids":["https://openalex.org/I146429904"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057910370","display_name":"John H. L. Hansen","orcid":"https://orcid.org/0000-0003-1382-9929"},"institutions":[{"id":"https://openalex.org/I162577319","display_name":"The University of Texas at Dallas","ror":"https://ror.org/049emcs32","country_code":"US","type":"education","lineage":["https://openalex.org/I162577319"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"John H. L. Hansen","raw_affiliation_strings":["Center for Robust Speech Systems (CRSS), University of Texas, Dallas, Richardson, TX, USA","Center for Robust Speech Systems (CRSS), University of Texas at Dallas, Richardson, TX, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"Center for Robust Speech Systems (CRSS), University of Texas, Dallas, Richardson, TX, USA","institution_ids":["https://openalex.org/I162577319"]},{"raw_affiliation_string":"Center for Robust Speech Systems (CRSS), University of Texas at Dallas, Richardson, TX, USA#TAB#","institution_ids":["https://openalex.org/I162577319"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101977970"],"corresponding_institution_ids":["https://openalex.org/I146429904"],"apc_list":null,"apc_paid":null,"fwci":0.4809,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.74531688,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"7083","last_page":"7086"},"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/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/T11309","display_name":"Music and Audio Processing","score":0.9987999796867371,"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/computer-science","display_name":"Computer science","score":0.709250271320343},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.626848578453064},{"id":"https://openalex.org/keywords/acoustic-model","display_name":"Acoustic model","score":0.6244232654571533},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6068853139877319},{"id":"https://openalex.org/keywords/intelligibility","display_name":"Intelligibility (philosophy)","score":0.5740886330604553},{"id":"https://openalex.org/keywords/mixture-model","display_name":"Mixture model","score":0.5303968191146851},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5213602781295776},{"id":"https://openalex.org/keywords/phone","display_name":"Phone","score":0.46221962571144104},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4435036778450012},{"id":"https://openalex.org/keywords/compensation","display_name":"Compensation (psychology)","score":0.4402520954608917},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40157896280288696},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3984795808792114},{"id":"https://openalex.org/keywords/speech-processing","display_name":"Speech processing","score":0.31030339002609253}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.709250271320343},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.626848578453064},{"id":"https://openalex.org/C155635449","wikidata":"https://www.wikidata.org/wiki/Q4674699","display_name":"Acoustic model","level":3,"score":0.6244232654571533},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6068853139877319},{"id":"https://openalex.org/C60048801","wikidata":"https://www.wikidata.org/wiki/Q1433889","display_name":"Intelligibility (philosophy)","level":2,"score":0.5740886330604553},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.5303968191146851},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5213602781295776},{"id":"https://openalex.org/C2778707766","wikidata":"https://www.wikidata.org/wiki/Q202064","display_name":"Phone","level":2,"score":0.46221962571144104},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4435036778450012},{"id":"https://openalex.org/C2780023022","wikidata":"https://www.wikidata.org/wiki/Q1338171","display_name":"Compensation (psychology)","level":2,"score":0.4402520954608917},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40157896280288696},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3984795808792114},{"id":"https://openalex.org/C61328038","wikidata":"https://www.wikidata.org/wiki/Q3358061","display_name":"Speech processing","level":2,"score":0.31030339002609253},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C11171543","wikidata":"https://www.wikidata.org/wiki/Q41630","display_name":"Psychoanalysis","level":1,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2013.6639036","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2013.6639036","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Acoustics, Speech and Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.7300000190734863}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W79317937","https://openalex.org/W1279245896","https://openalex.org/W1665196592","https://openalex.org/W2045036776","https://openalex.org/W2093985521","https://openalex.org/W2100969003","https://openalex.org/W2146871184","https://openalex.org/W2162213734","https://openalex.org/W6603280604","https://openalex.org/W6628082926"],"related_works":["https://openalex.org/W2114688254","https://openalex.org/W2092406870","https://openalex.org/W2735380212","https://openalex.org/W2018887914","https://openalex.org/W2992378684","https://openalex.org/W2964829415","https://openalex.org/W2122233706","https://openalex.org/W642007152","https://openalex.org/W2105439218","https://openalex.org/W2131711534"],"abstract_inverted_index":{"This":[0,104],"study":[1],"proposes":[2],"an":[3,21],"effective":[4,115],"model-based":[5],"feature":[6,41,82,126],"compensation":[7,42,83,127],"method":[8,128],"for":[9,31,129],"robust":[10],"speech":[11,122,130],"recognition":[12,131],"in":[13],"background":[14,134],"noise":[15,135],"conditions.":[16,136],"In":[17],"the":[18,32,47,73,80,85,95,99,107,111,118,121,125],"proposed":[19,86,108],"scheme,":[20],"acoustic":[22,48,91,112],"model":[23,49,92,113],"with":[24],"a":[25,51],"phonetically":[26,59,87],"constrained":[27,60,88],"structure":[28,45,89],"is":[29,63,114],"employed":[30],"Parallel":[33],"Combined":[34],"Gaussian":[35,101],"Mixture":[36],"Model":[37],"(PCGMM":[38],"[1])":[39],"based":[40],"method.":[43],"The":[44],"of":[46,53,69,90,97,110,120],"includes":[50],"collection":[52],"context":[54],"independent":[55],"phone":[56,70],"models.":[57],"A":[58],"prior":[61],"probability":[62,68],"formulated":[64],"by":[65,124],"integrating":[66],"transition":[67],"models":[71],"into":[72],"reconstruction":[74],"procedure.":[75],"Experimental":[76],"results":[77],"show":[78],"that":[79,106],"PCGMM-based":[81],"employing":[84,98],"consistently":[93],"outperforms":[94],"case":[96],"conventional":[100],"mixture":[102],"model.":[103],"demonstrates":[105],"configuration":[109],"at":[116],"improving":[117],"intelligibility":[119],"reconstructed":[123],"under":[132],"diverse":[133]},"counts_by_year":[{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}