{"id":"https://openalex.org/W2101791063","doi":"https://doi.org/10.1109/aspaa.2009.5346489","title":"Statistical models for speech dereverberation","display_name":"Statistical models for speech dereverberation","publication_year":2009,"publication_date":"2009-10-01","ids":{"openalex":"https://openalex.org/W2101791063","doi":"https://doi.org/10.1109/aspaa.2009.5346489","mag":"2101791063"},"language":"en","primary_location":{"id":"doi:10.1109/aspaa.2009.5346489","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aspaa.2009.5346489","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics","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/A5101618071","display_name":"Takuya Yoshioka","orcid":"https://orcid.org/0009-0003-7791-3545"},"institutions":[{"id":"https://openalex.org/I22299242","display_name":"Kyoto University","ror":"https://ror.org/02kpeqv85","country_code":"JP","type":"education","lineage":["https://openalex.org/I22299242"]},{"id":"https://openalex.org/I2251713219","display_name":"NTT (Japan)","ror":"https://ror.org/00berct97","country_code":"JP","type":"company","lineage":["https://openalex.org/I2251713219"]},{"id":"https://openalex.org/I39012071","display_name":"Kyoto College of Graduate Studies for Informatics","ror":"https://ror.org/05mzj8a56","country_code":"JP","type":"education","lineage":["https://openalex.org/I39012071"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takuya Yoshioka","raw_affiliation_strings":["Graduate School of Informatics, Kyoto University, Kyoto, Japan","NTT Communication Science Laboratories, NTT Corporation, Soraku-gun, Kyoto, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Informatics, Kyoto University, Kyoto, Japan","institution_ids":["https://openalex.org/I22299242","https://openalex.org/I39012071"]},{"raw_affiliation_string":"NTT Communication Science Laboratories, NTT Corporation, Soraku-gun, Kyoto, Japan","institution_ids":["https://openalex.org/I2251713219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001243214","display_name":"Hirokazu Kameoka","orcid":"https://orcid.org/0000-0003-3102-0162"},"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":"Hirokazu Kameoka","raw_affiliation_strings":["NTT Communication Science Laboratories, NTT Corporation, Soraku-gun, Kyoto, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NTT Communication Science Laboratories, NTT Corporation, Soraku-gun, Kyoto, Japan","institution_ids":["https://openalex.org/I2251713219"]}]},{"author_position":"middle","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, Soraku-gun, Kyoto, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NTT Communication Science Laboratories, NTT Corporation, Soraku-gun, Kyoto, Japan","institution_ids":["https://openalex.org/I2251713219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005141184","display_name":"Hiroshi G. Okuno","orcid":"https://orcid.org/0000-0002-8704-4318"},"institutions":[{"id":"https://openalex.org/I22299242","display_name":"Kyoto University","ror":"https://ror.org/02kpeqv85","country_code":"JP","type":"education","lineage":["https://openalex.org/I22299242"]},{"id":"https://openalex.org/I39012071","display_name":"Kyoto College of Graduate Studies for Informatics","ror":"https://ror.org/05mzj8a56","country_code":"JP","type":"education","lineage":["https://openalex.org/I39012071"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiroshi G. Okuno","raw_affiliation_strings":["Graduate School of Informatics, Kyoto University, Kyoto, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Informatics, Kyoto University, Kyoto, Japan","institution_ids":["https://openalex.org/I22299242","https://openalex.org/I39012071"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"e91 a","issue":null,"first_page":"145","last_page":"148"},"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":0.9988999962806702,"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/T10283","display_name":"Hearing Loss and Rehabilitation","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.7703409790992737},{"id":"https://openalex.org/keywords/spectral-density","display_name":"Spectral density","score":0.6779324412345886},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6534736156463623},{"id":"https://openalex.org/keywords/statistical-model","display_name":"Statistical model","score":0.6405075788497925},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6305445432662964},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5921613574028015},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5872499942779541},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.5789383053779602},{"id":"https://openalex.org/keywords/parametric-model","display_name":"Parametric model","score":0.5416545867919922},{"id":"https://openalex.org/keywords/transmission","display_name":"Transmission (telecommunications)","score":0.5313791632652283},{"id":"https://openalex.org/keywords/probability-density-function","display_name":"Probability density function","score":0.4609426259994507},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23528870940208435},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.22637036442756653},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1966928243637085},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.189327210187912}],"concepts":[{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.7703409790992737},{"id":"https://openalex.org/C168110828","wikidata":"https://www.wikidata.org/wiki/Q1331626","display_name":"Spectral density","level":2,"score":0.6779324412345886},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6534736156463623},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.6405075788497925},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6305445432662964},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5921613574028015},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5872499942779541},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.5789383053779602},{"id":"https://openalex.org/C24574437","wikidata":"https://www.wikidata.org/wiki/Q7135228","display_name":"Parametric model","level":3,"score":0.5416545867919922},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.5313791632652283},{"id":"https://openalex.org/C197055811","wikidata":"https://www.wikidata.org/wiki/Q207522","display_name":"Probability density function","level":2,"score":0.4609426259994507},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23528870940208435},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.22637036442756653},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1966928243637085},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.189327210187912},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/aspaa.2009.5346489","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aspaa.2009.5346489","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.7699999809265137}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1808196926","https://openalex.org/W2110720597","https://openalex.org/W2140571699","https://openalex.org/W2156393451","https://openalex.org/W2165534711","https://openalex.org/W2188162373","https://openalex.org/W2914048585","https://openalex.org/W6680912004","https://openalex.org/W6686978693","https://openalex.org/W6758698360"],"related_works":["https://openalex.org/W2171218219","https://openalex.org/W1976222415","https://openalex.org/W2048978945","https://openalex.org/W2127872246","https://openalex.org/W4249485354","https://openalex.org/W2049352309","https://openalex.org/W2023820805","https://openalex.org/W4249887698","https://openalex.org/W2099933086","https://openalex.org/W2111813998"],"abstract_inverted_index":{"This":[0,79],"paper":[1,80],"discusses":[2],"a":[3,24,29,93,115,149,171],"statistical-model-based":[4],"approach":[5,61],"to":[6,56,133],"speech":[7,26,43,72,126,151,174],"dereverberation.":[8],"With":[9],"this":[10,60],"approach,":[11],"we":[12],"first":[13],"define":[14],"parametric":[15],"statistical":[16,83],"models":[17,68,84,164],"of":[18,59,66,69,153],"probability":[19],"density":[20,111,119],"functions":[21],"(pdfs)":[22],"for":[23],"clean":[25,42,71,125],"signal":[27,44,73,127,152,175],"and":[28,38,74,89,114],"room":[30,75,99,135],"transmission":[31,76,100,136],"channel,":[32],"then":[33],"estimate":[34],"the":[35,41,47,50,57,64,67,70,98,134,144,161,166],"model":[36,121,129,142,168],"parameters,":[37],"finally":[39],"recover":[40],"by":[45],"using":[46],"pdfs":[48],"with":[49],"estimated":[51],"parameter":[52],"values.":[53],"The":[54,140],"key":[55],"success":[58],"lies":[62],"in":[63,92],"definition":[65],"channel":[77,101,137],"pdfs.":[78],"presents":[81],"several":[82],"(including":[85],"newly":[86],"proposed":[87],"ones)":[88],"compares":[90],"them":[91],"large-scale":[94],"experiment.":[95],"As":[96],"regards":[97],"pdf,":[102],"an":[103,107],"autoregressive":[104,108],"(AR)":[105],"model,":[106,113],"power":[109,117],"spectral":[110,118],"(ARPSD)":[112],"moving-average":[116],"(MAPSD)":[120],"are":[122],"considered.":[123],"A":[124],"pdf":[128,138],"is":[130],"selected":[131],"according":[132],"model.":[139],"AR":[141,167],"exhibited":[143],"highest":[145],"dereverberation":[146],"accuracy":[147],"when":[148,169],"reverberant":[150,173],"2":[154],"sec":[155],"or":[156],"longer":[157],"was":[158,176],"available":[159],"while":[160],"other":[162],"two":[163],"outperformed":[165],"only":[170],"1-sec":[172],"available.":[177]},"counts_by_year":[{"year":2014,"cited_by_count":2}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}