{"id":"https://openalex.org/W2164502538","doi":"https://doi.org/10.1109/tasl.2010.2052251","title":"Speech Dereverberation Based on Variance-Normalized Delayed Linear Prediction","display_name":"Speech Dereverberation Based on Variance-Normalized Delayed Linear Prediction","publication_year":2010,"publication_date":"2010-08-18","ids":{"openalex":"https://openalex.org/W2164502538","doi":"https://doi.org/10.1109/tasl.2010.2052251","mag":"2164502538"},"language":"en","primary_location":{"id":"doi:10.1109/tasl.2010.2052251","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tasl.2010.2052251","pdf_url":null,"source":{"id":"https://openalex.org/S199497470","display_name":"IEEE Transactions on Audio Speech and Language Processing","issn_l":"1558-7916","issn":["1558-7916","1558-7924"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Audio, Speech, and Language Processing","raw_type":"journal-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/A5021240106","display_name":"Tomohiro Nakatani","orcid":"https://orcid.org/0000-0002-7487-7150"},"institutions":[{"id":"https://openalex.org/I2251713219","display_name":"NTT (Japan)","ror":"https://ror.org/00berct97","country_code":"JP","type":"company","lineage":["https://openalex.org/I2251713219"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tomohiro Nakatani","raw_affiliation_strings":["NTT Communication Science Laboratories, NTT Corporation, Kyoto, Japan","NTT Communication Science Labs. NTT Corporation, Kyoto, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NTT Communication Science Laboratories, NTT Corporation, Kyoto, Japan","institution_ids":["https://openalex.org/I2251713219"]},{"raw_affiliation_string":"NTT Communication Science Labs. NTT Corporation, Kyoto, Japan","institution_ids":["https://openalex.org/I2251713219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101618071","display_name":"Takuya Yoshioka","orcid":"https://orcid.org/0009-0003-7791-3545"},"institutions":[{"id":"https://openalex.org/I2251713219","display_name":"NTT (Japan)","ror":"https://ror.org/00berct97","country_code":"JP","type":"company","lineage":["https://openalex.org/I2251713219"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takuya Yoshioka","raw_affiliation_strings":["NTT Communication Science Laboratories, NTT Corporation, Kyoto, Japan","NTT Communication Science Labs. NTT Corporation, Kyoto, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NTT Communication Science Laboratories, NTT Corporation, Kyoto, Japan","institution_ids":["https://openalex.org/I2251713219"]},{"raw_affiliation_string":"NTT Communication Science Labs. NTT Corporation, Kyoto, Japan","institution_ids":["https://openalex.org/I2251713219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069398831","display_name":"Keisuke Kinoshita","orcid":"https://orcid.org/0009-0008-7987-8188"},"institutions":[{"id":"https://openalex.org/I2251713219","display_name":"NTT (Japan)","ror":"https://ror.org/00berct97","country_code":"JP","type":"company","lineage":["https://openalex.org/I2251713219"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Keisuke Kinoshita","raw_affiliation_strings":["NTT Communication Science Laboratories, NTT Corporation, Kyoto, Japan","NTT Communication Science Labs. NTT Corporation, Kyoto, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NTT Communication Science Laboratories, NTT Corporation, Kyoto, Japan","institution_ids":["https://openalex.org/I2251713219"]},{"raw_affiliation_string":"NTT Communication Science Labs. NTT Corporation, Kyoto, Japan","institution_ids":["https://openalex.org/I2251713219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111931228","display_name":"Masato Miyoshi","orcid":null},"institutions":[{"id":"https://openalex.org/I10091056","display_name":"Kanazawa University","ror":"https://ror.org/02hwp6a56","country_code":"JP","type":"education","lineage":["https://openalex.org/I10091056"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masato Miyoshi","raw_affiliation_strings":["Graduate School of Natural Science and Technology, Kanazawa University, Kakuma, Kanagawa, Japan","Grad. Sch. of Natural Sci.& Tech., Kanazawa Univ., Kanazawa, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Natural Science and Technology, Kanazawa University, Kakuma, Kanagawa, Japan","institution_ids":["https://openalex.org/I10091056"]},{"raw_affiliation_string":"Grad. Sch. of Natural Sci.& Tech., Kanazawa Univ., Kanazawa, Japan","institution_ids":["https://openalex.org/I10091056"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070867959","display_name":"Biing\u2010Hwang Juang","orcid":"https://orcid.org/0000-0002-5773-5679"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Biing-Hwang Juang","raw_affiliation_strings":["School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA","Sch. of Electr. & Computer Eng., Georgia Inst. of Technol., Atlanta, GA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]},{"raw_affiliation_string":"Sch. of Electr. & Computer Eng., Georgia Inst. of Technol., Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":6.2541,"has_fulltext":false,"cited_by_count":435,"citation_normalized_percentile":{"value":0.96795895,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"18","issue":"7","first_page":"1717","last_page":"1731"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":1.0,"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":1.0,"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/reverberation","display_name":"Reverberation","score":0.7644919157028198},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6504709124565125},{"id":"https://openalex.org/keywords/linear-prediction","display_name":"Linear prediction","score":0.6267947554588318},{"id":"https://openalex.org/keywords/impulse-response","display_name":"Impulse response","score":0.6148093938827515},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5528103709220886},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.5463375449180603},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.5281187295913696},{"id":"https://openalex.org/keywords/time-domain","display_name":"Time domain","score":0.47682732343673706},{"id":"https://openalex.org/keywords/impulse","display_name":"Impulse (physics)","score":0.46349287033081055},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4628116190433502},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.42664092779159546},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3361378014087677},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3051316738128662},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21814975142478943},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.20526009798049927}],"concepts":[{"id":"https://openalex.org/C95851461","wikidata":"https://www.wikidata.org/wiki/Q468809","display_name":"Reverberation","level":2,"score":0.7644919157028198},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6504709124565125},{"id":"https://openalex.org/C131109320","wikidata":"https://www.wikidata.org/wiki/Q581012","display_name":"Linear prediction","level":2,"score":0.6267947554588318},{"id":"https://openalex.org/C72279823","wikidata":"https://www.wikidata.org/wiki/Q1139726","display_name":"Impulse response","level":2,"score":0.6148093938827515},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5528103709220886},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.5463375449180603},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.5281187295913696},{"id":"https://openalex.org/C103824480","wikidata":"https://www.wikidata.org/wiki/Q185889","display_name":"Time domain","level":2,"score":0.47682732343673706},{"id":"https://openalex.org/C70836080","wikidata":"https://www.wikidata.org/wiki/Q837940","display_name":"Impulse (physics)","level":2,"score":0.46349287033081055},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4628116190433502},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.42664092779159546},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3361378014087677},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3051316738128662},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21814975142478943},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.20526009798049927},{"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tasl.2010.2052251","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tasl.2010.2052251","pdf_url":null,"source":{"id":"https://openalex.org/S199497470","display_name":"IEEE Transactions on Audio Speech and Language Processing","issn_l":"1558-7916","issn":["1558-7916","1558-7924"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Audio, Speech, and Language Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W172015143","https://openalex.org/W1808196926","https://openalex.org/W1898225171","https://openalex.org/W1996981692","https://openalex.org/W2017939415","https://openalex.org/W2045043668","https://openalex.org/W2083212479","https://openalex.org/W2100432131","https://openalex.org/W2101791063","https://openalex.org/W2103034511","https://openalex.org/W2103564015","https://openalex.org/W2107992675","https://openalex.org/W2110913111","https://openalex.org/W2111512576","https://openalex.org/W2117090122","https://openalex.org/W2117405412","https://openalex.org/W2119923861","https://openalex.org/W2123765505","https://openalex.org/W2130432819","https://openalex.org/W2130640611","https://openalex.org/W2136883355","https://openalex.org/W2140571699","https://openalex.org/W2152949589","https://openalex.org/W2159220049","https://openalex.org/W2165534711","https://openalex.org/W2167045974","https://openalex.org/W2907162034","https://openalex.org/W2911394281","https://openalex.org/W3105118415","https://openalex.org/W4247773827","https://openalex.org/W6606966975","https://openalex.org/W6677740618","https://openalex.org/W6678188801","https://openalex.org/W6682371270","https://openalex.org/W6758139422"],"related_works":["https://openalex.org/W2987432963","https://openalex.org/W2053167664","https://openalex.org/W2079152323","https://openalex.org/W2128388559","https://openalex.org/W1964163924","https://openalex.org/W2089389288","https://openalex.org/W1538944388","https://openalex.org/W2170039723","https://openalex.org/W964523193","https://openalex.org/W2962723298"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,16,45,53,57,66,129,158,168],"statistical":[4],"model-based":[5],"speech":[6,18,131],"dereverberation":[7,76,148],"approach":[8,96,186],"that":[9],"can":[10,112,164],"cancel":[11],"the":[12,28,35,39,75,82,85,91,107,122,137,147,155,173,179,184],"late":[13,119],"reverberation":[14,120],"of":[15,27,38,44,84,109,124,139,157,183],"reverberant":[17],"signal":[19,41],"captured":[20,40],"by":[21,65,90],"distant":[22],"microphones":[23],"without":[24,126],"prior":[25],"knowledge":[26],"room":[29],"impulse":[30],"responses.":[31],"With":[32],"this":[33,95],"approach,":[34],"generative":[36],"model":[37],"is":[42,49,78,97],"composed":[43],"source":[46,92],"process,":[47],"which":[48],"assumed":[50],"to":[51,80,99,136,145],"be":[52,81,165],"Gaussian":[54],"process":[55,63],"with":[56,151,189],"time-varying":[58],"variance,":[59],"and":[60,181],"an":[61,115],"observation":[62],"modeled":[64],"delayed":[67,102],"linear":[68,103],"prediction":[69,87,104],"(DLP).":[70],"The":[71],"optimization":[72],"objective":[73],"for":[74,118],"problem":[77],"derived":[79],"sum":[83],"squared":[86],"errors":[88],"normalized":[89],"variances;":[93],"hence,":[94],"referred":[98],"as":[100],"variance-normalized":[101],"(NDLP).":[105],"Inheriting":[106],"characteristic":[108],"DLP,":[110],"NDLP":[111,142,163],"robustly":[113],"estimate":[114],"inverse":[116],"system":[117],"in":[121,167,172,187],"presence":[123],"noise":[125],"greatly":[127],"distorting":[128],"direct":[130],"signal.":[132],"In":[133],"addition,":[134],"owing":[135],"use":[138],"variance":[140],"normalization,":[141],"allows":[143],"us":[144],"improve":[146],"result":[149],"especially":[150],"relatively":[152],"short":[153],"(of":[154],"order":[156],"few":[159],"seconds)":[160],"observations.":[161],"Furthermore,":[162],"implemented":[166],"computationally":[169],"efficient":[170],"manner":[171],"time-frequency":[174],"domain.":[175],"Experimental":[176],"results":[177],"demonstrate":[178],"effectiveness":[180],"efficiency":[182],"proposed":[185],"comparison":[188],"two":[190],"existing":[191],"approaches.":[192]},"counts_by_year":[{"year":2026,"cited_by_count":9},{"year":2025,"cited_by_count":36},{"year":2024,"cited_by_count":35},{"year":2023,"cited_by_count":41},{"year":2022,"cited_by_count":48},{"year":2021,"cited_by_count":57},{"year":2020,"cited_by_count":64},{"year":2019,"cited_by_count":46},{"year":2018,"cited_by_count":30},{"year":2017,"cited_by_count":11},{"year":2016,"cited_by_count":13},{"year":2015,"cited_by_count":12},{"year":2014,"cited_by_count":15},{"year":2013,"cited_by_count":10},{"year":2012,"cited_by_count":6}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}
