{"id":"https://openalex.org/W2997210969","doi":"https://doi.org/10.1109/taslp.2019.2961556","title":"Robust Speech Filter and Voice Encoder Parameter Estimation Using the Phase\u2013Phase Correlator","display_name":"Robust Speech Filter and Voice Encoder Parameter Estimation Using the Phase\u2013Phase Correlator","publication_year":2019,"publication_date":"2019-12-24","ids":{"openalex":"https://openalex.org/W2997210969","doi":"https://doi.org/10.1109/taslp.2019.2961556","mag":"2997210969"},"language":"en","primary_location":{"id":"doi:10.1109/taslp.2019.2961556","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taslp.2019.2961556","pdf_url":null,"source":{"id":"https://openalex.org/S4210169297","display_name":"IEEE/ACM Transactions on Audio Speech and Language Processing","issn_l":"2329-9290","issn":["2329-9290","2329-9304"],"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/ACM Transactions on Audio, Speech, and Language Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://vtechworks.lib.vt.edu/bitstreams/c5c27421-4448-4301-855c-5750170c22d6/download","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101542788","display_name":"Abul Azad","orcid":"https://orcid.org/0000-0001-9700-5964"},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Abul Azad","raw_affiliation_strings":["Bradley Department of Electrical and Computer Engineering, Virginia Polytechnic Institute and State University, USA"],"raw_orcid":"https://orcid.org/0000-0001-9700-5964","affiliations":[{"raw_affiliation_string":"Bradley Department of Electrical and Computer Engineering, Virginia Polytechnic Institute and State University, USA","institution_ids":["https://openalex.org/I859038795"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073678278","display_name":"Lamine Mili","orcid":"https://orcid.org/0000-0001-6134-3945"},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lamine Mili","raw_affiliation_strings":["Bradley Department of Electrical and Computer Engineering, Virginia Polytechnic Institute and State University, USA"],"raw_orcid":"https://orcid.org/0000-0001-6134-3945","affiliations":[{"raw_affiliation_string":"Bradley Department of Electrical and Computer Engineering, Virginia Polytechnic Institute and State University, USA","institution_ids":["https://openalex.org/I859038795"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101542788"],"corresponding_institution_ids":["https://openalex.org/I859038795"],"apc_list":null,"apc_paid":null,"fwci":0.3338,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.58587519,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"28","issue":null,"first_page":"592","last_page":"604"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9998999834060669,"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":0.9998999834060669,"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":0.998199999332428,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9968000054359436,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.7067115306854248},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6336214542388916},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5900598764419556},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5583867430686951},{"id":"https://openalex.org/keywords/phase","display_name":"Phase (matter)","score":0.5402029156684875},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.44276121258735657},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14734849333763123},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.1176939606666565},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.11233222484588623}],"concepts":[{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.7067115306854248},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6336214542388916},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5900598764419556},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5583867430686951},{"id":"https://openalex.org/C44280652","wikidata":"https://www.wikidata.org/wiki/Q104837","display_name":"Phase (matter)","level":2,"score":0.5402029156684875},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.44276121258735657},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14734849333763123},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.1176939606666565},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.11233222484588623},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/taslp.2019.2961556","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taslp.2019.2961556","pdf_url":null,"source":{"id":"https://openalex.org/S4210169297","display_name":"IEEE/ACM Transactions on Audio Speech and Language Processing","issn_l":"2329-9290","issn":["2329-9290","2329-9304"],"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/ACM Transactions on Audio, Speech, and Language Processing","raw_type":"journal-article"},{"id":"pmh:oai:vtechworks.lib.vt.edu:10919/97221","is_oa":true,"landing_page_url":"http://hdl.handle.net/10919/97221","pdf_url":"https://vtechworks.lib.vt.edu/bitstreams/c5c27421-4448-4301-855c-5750170c22d6/download","source":{"id":"https://openalex.org/S4306400248","display_name":"VTechWorks (Virginia Tech)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I859038795","host_organization_name":"Virginia Tech","host_organization_lineage":["https://openalex.org/I859038795"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Dissertation"}],"best_oa_location":{"id":"pmh:oai:vtechworks.lib.vt.edu:10919/97221","is_oa":true,"landing_page_url":"http://hdl.handle.net/10919/97221","pdf_url":"https://vtechworks.lib.vt.edu/bitstreams/c5c27421-4448-4301-855c-5750170c22d6/download","source":{"id":"https://openalex.org/S4306400248","display_name":"VTechWorks (Virginia Tech)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I859038795","host_organization_name":"Virginia Tech","host_organization_lineage":["https://openalex.org/I859038795"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Dissertation"},"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":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2997210969.pdf","grobid_xml":"https://content.openalex.org/works/W2997210969.grobid-xml"},"referenced_works_count":32,"referenced_works":["https://openalex.org/W149129625","https://openalex.org/W1496923911","https://openalex.org/W1496971974","https://openalex.org/W1504587005","https://openalex.org/W1552314771","https://openalex.org/W1972063359","https://openalex.org/W1976313025","https://openalex.org/W1976985008","https://openalex.org/W2047032979","https://openalex.org/W2053637529","https://openalex.org/W2057666616","https://openalex.org/W2096992458","https://openalex.org/W2103764823","https://openalex.org/W2108532241","https://openalex.org/W2109189270","https://openalex.org/W2111114457","https://openalex.org/W2112345760","https://openalex.org/W2114767466","https://openalex.org/W2121055926","https://openalex.org/W2133834334","https://openalex.org/W2141605952","https://openalex.org/W2145297822","https://openalex.org/W2146006363","https://openalex.org/W2149669662","https://openalex.org/W2164846450","https://openalex.org/W2168932899","https://openalex.org/W2500358397","https://openalex.org/W4241525052","https://openalex.org/W4255230573","https://openalex.org/W6629474112","https://openalex.org/W6680753668","https://openalex.org/W6683989421"],"related_works":["https://openalex.org/W4390516098","https://openalex.org/W2181948922","https://openalex.org/W2384362569","https://openalex.org/W4205302943","https://openalex.org/W2561132942","https://openalex.org/W2142795561","https://openalex.org/W3155418658","https://openalex.org/W4243199227","https://openalex.org/W2379948177","https://openalex.org/W2107949441"],"abstract_inverted_index":{"In":[0,98],"recent":[1],"years,":[2],"linear":[3],"prediction":[4],"voice":[5],"encoders":[6],"have":[7],"become":[8],"very":[9],"efficient":[10],"in":[11,23,80,89,92,159,181,223,239],"terms":[12,240],"of":[13,26,43,49,53,83,106,178,226,241],"computing":[14],"execution":[15],"time":[16],"and":[17,68,139,184,202,212],"channel":[18],"bandwidth":[19,210],"usage":[20],"while":[21,216],"providing,":[22],"the":[24,41,59,63,66,69,81,108,157,160,175,195,198,203,208,213,224,229,237],"absence":[25],"impulsive":[27,117,227],"noise,":[28,85,228],"natural":[29],"sounding":[30],"synthetic":[31],"speech":[32,60,141,162,231,233],"signals.":[33,97,170],"This":[34,143],"good":[35],"performance":[36],"has":[37],"been":[38],"achieved":[39,145],"via":[40],"use":[42],"a":[44,103,124,148],"maximum":[45],"likelihood":[46],"parameter":[47],"estimation":[48],"an":[50],"auto-regressive":[51],"model":[52],"order":[54],"ten":[55],"that":[56,65,111,131,174],"best":[57],"fits":[58],"signal":[61,67],"under":[62],"assumption":[64],"noise":[70],"are":[71,165],"Gaussian":[72],"stochastic":[73],"processes.":[74],"However,":[75],"this":[76,99,120],"method":[77],"breaks":[78],"down":[79],"presence":[82,225],"impulse":[84],"which":[86,164],"is":[87,112,144],"common":[88],"practice,":[90],"resulting":[91],"harsh":[93],"or":[94],"non-intelligible":[95],"audio":[96,134],"paper,":[100],"we":[101,122],"propose":[102],"robust":[104,152,191],"estimator":[105,177,205],"correlation,":[107],"Phase-Phase":[109],"correlator":[110,179],"able":[113],"to":[114,151,188],"cope":[115],"with":[116,168,219],"noise.":[118],"Utilizing":[119],"correlator,":[121,201],"develop":[123],"Robust":[125],"Mixed":[126],"Excitation":[127],"Linear":[128],"Prediction":[129],"encoder":[130,209,232],"provides":[132],"improved":[133],"quality":[135,235],"for":[136,155],"voiced,":[137],"unvoiced,":[138],"transition":[140],"segments.":[142],"by":[146],"applying":[147],"statistical":[149],"test":[150],"Mahalanobis":[153],"distances":[154],"identifying":[156],"outliers":[158],"corrupted":[161],"signal,":[163],"then":[166],"replaced":[167],"filtered":[169],"Simulation":[171],"results":[172],"reveal":[173],"proposed":[176,230],"outperforms":[180,236],"variance,":[182],"bias,":[183],"breakdown":[185],"point":[186],"compared":[187],"three":[189],"other":[190],"approaches":[192],"based":[193],"on":[194],"arcsin":[196],"law,":[197],"polarity":[199],"coincidence":[200],"median-of-ratio":[204],"without":[206],"sacrificing":[207],"efficiency":[211],"compression":[214],"gain":[215],"remaining":[217],"compatible":[218],"real-time":[220],"applications.":[221],"Furthermore,":[222],"subjective":[234],"state-of-the-art":[238],"mean":[242],"opinion":[243],"score.":[244]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}