{"id":"https://openalex.org/W1986225048","doi":"https://doi.org/10.1109/tasl.2012.2205242","title":"A CASA-Based System for Long-Term SNR Estimation","display_name":"A CASA-Based System for Long-Term SNR Estimation","publication_year":2012,"publication_date":"2012-06-19","ids":{"openalex":"https://openalex.org/W1986225048","doi":"https://doi.org/10.1109/tasl.2012.2205242","mag":"1986225048"},"language":"en","primary_location":{"id":"doi:10.1109/tasl.2012.2205242","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tasl.2012.2205242","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/A5000078382","display_name":"Arun Narayanan","orcid":"https://orcid.org/0009-0008-3325-8928"},"institutions":[{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Arun Narayanan","raw_affiliation_strings":["Department of Computer Science and Engineering, Ohio State University, Columbus, OH, USA","Dept. of Comput. Sci. & Eng., Ohio State Univ., Columbus, OH, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Ohio State University, Columbus, OH, USA","institution_ids":["https://openalex.org/I52357470"]},{"raw_affiliation_string":"Dept. of Comput. Sci. & Eng., Ohio State Univ., Columbus, OH, USA","institution_ids":["https://openalex.org/I52357470"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051837453","display_name":"DeLiang Wang","orcid":"https://orcid.org/0000-0001-8195-6319"},"institutions":[{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"DeLiang Wang","raw_affiliation_strings":["Department of Computer Science and Engineering, Ohio State University, Columbus, OH, USA","Dept. of Comput. Sci. & Eng., Ohio State Univ., Columbus, OH, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Ohio State University, Columbus, OH, USA","institution_ids":["https://openalex.org/I52357470"]},{"raw_affiliation_string":"Dept. of Comput. Sci. & Eng., Ohio State Univ., Columbus, OH, USA","institution_ids":["https://openalex.org/I52357470"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5000078382"],"corresponding_institution_ids":["https://openalex.org/I52357470"],"apc_list":null,"apc_paid":null,"fwci":0.9909,"has_fulltext":false,"cited_by_count":31,"citation_normalized_percentile":{"value":0.77913955,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"20","issue":"9","first_page":"2518","last_page":"2527"},"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":0.9984999895095825,"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":0.9980000257492065,"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/computational-auditory-scene-analysis","display_name":"Computational auditory scene analysis","score":0.684802770614624},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6364938616752625},{"id":"https://openalex.org/keywords/signal-to-noise-ratio","display_name":"Signal-to-noise ratio (imaging)","score":0.6019788384437561},{"id":"https://openalex.org/keywords/timit","display_name":"TIMIT","score":0.5912792086601257},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.5834694504737854},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5812692046165466},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.5631151795387268},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.5618523359298706},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5582321882247925},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.536189079284668},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5045639276504517},{"id":"https://openalex.org/keywords/speech-enhancement","display_name":"Speech enhancement","score":0.44110703468322754},{"id":"https://openalex.org/keywords/background-noise","display_name":"Background noise","score":0.29520708322525024},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2848694920539856},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2693040370941162},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1830143928527832},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1470305323600769},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.10823073983192444},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.059295862913131714}],"concepts":[{"id":"https://openalex.org/C73208851","wikidata":"https://www.wikidata.org/wiki/Q5157303","display_name":"Computational auditory scene analysis","level":2,"score":0.684802770614624},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6364938616752625},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.6019788384437561},{"id":"https://openalex.org/C2778724510","wikidata":"https://www.wikidata.org/wiki/Q7670405","display_name":"TIMIT","level":3,"score":0.5912792086601257},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.5834694504737854},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5812692046165466},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.5631151795387268},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.5618523359298706},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5582321882247925},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.536189079284668},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5045639276504517},{"id":"https://openalex.org/C2776182073","wikidata":"https://www.wikidata.org/wiki/Q7575395","display_name":"Speech enhancement","level":3,"score":0.44110703468322754},{"id":"https://openalex.org/C100675267","wikidata":"https://www.wikidata.org/wiki/Q1371624","display_name":"Background noise","level":2,"score":0.29520708322525024},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2848694920539856},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2693040370941162},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1830143928527832},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1470305323600769},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.10823073983192444},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.059295862913131714},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"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/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tasl.2012.2205242","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tasl.2012.2205242","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"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.303.2746","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.303.2746","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cse.ohio-state.edu/%7Edwang/papers/Narayanan-Wang.taslp12.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.4399999976158142}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W160800111","https://openalex.org/W202024829","https://openalex.org/W1495679096","https://openalex.org/W1574170747","https://openalex.org/W1635512741","https://openalex.org/W1968521648","https://openalex.org/W1974387177","https://openalex.org/W2013312573","https://openalex.org/W2021416479","https://openalex.org/W2079918934","https://openalex.org/W2109215269","https://openalex.org/W2120933697","https://openalex.org/W2121973264","https://openalex.org/W2130832268","https://openalex.org/W2131753991","https://openalex.org/W2134925458","https://openalex.org/W2138456300","https://openalex.org/W2140977001","https://openalex.org/W2147455188","https://openalex.org/W2149425615","https://openalex.org/W2149535104","https://openalex.org/W2151589456","https://openalex.org/W2156488408","https://openalex.org/W2159202424","https://openalex.org/W2164715564","https://openalex.org/W2166529462","https://openalex.org/W2561557072","https://openalex.org/W2907162034","https://openalex.org/W3147539069","https://openalex.org/W4245919820"],"related_works":["https://openalex.org/W4375869169","https://openalex.org/W2597829360","https://openalex.org/W2921661700","https://openalex.org/W2138406058","https://openalex.org/W2006910250","https://openalex.org/W2131486661","https://openalex.org/W2153897396","https://openalex.org/W2360086260","https://openalex.org/W2005805562","https://openalex.org/W2368038768"],"abstract_inverted_index":{"We":[0],"present":[1],"a":[2,30],"system":[3],"for":[4],"robust":[5],"signal-to-noise":[6],"ratio":[7],"(SNR)":[8],"estimation":[9],"based":[10],"on":[11],"computational":[12],"auditory":[13],"scene":[14],"analysis":[15],"(CASA).":[16],"The":[17,78],"proposed":[18],"algorithm":[19,79],"uses":[20],"an":[21],"estimate":[22,84],"of":[23,33,47,74,113],"the":[24,34,54,65,70,75,91,96],"ideal":[25],"binary":[26],"mask":[27],"to":[28,52,63,69,83,111],"segregate":[29],"time-frequency":[31],"representation":[32],"noisy":[35,76],"signal":[36],"into":[37],"speech":[38,93],"dominated":[39,42],"and":[40,95,105],"noise":[41,98],"regions.":[43],"Energy":[44],"within":[45],"each":[46],"these":[48],"regions":[49],"is":[50,61,80],"summated":[51],"derive":[53],"filtered":[55,67],"global":[56,104],"SNR.":[57],"An":[58],"SNR":[59,68,73,107,119],"transform":[60],"introduced":[62],"convert":[64],"estimated":[66],"true":[71],"broadband":[72],"signal.":[77],"further":[81],"extended":[82],"subband":[85,106],"SNRs.":[86],"Evaluations":[87],"are":[88,109],"done":[89],"using":[90],"TIMIT":[92],"corpus":[94],"NOISEX92":[97],"database.":[99],"Results":[100],"indicate":[101],"that":[102],"both":[103],"estimates":[108],"superior":[110],"those":[112],"existing":[114],"methods,":[115],"especially":[116],"at":[117],"low":[118],"conditions.":[120]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":9},{"year":2016,"cited_by_count":4},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":3}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
