{"id":"https://openalex.org/W2163296209","doi":"https://doi.org/10.1109/iscas.2009.5117977","title":"A time-frequency domain formant frequency estimation scheme for noisy speech signals","display_name":"A time-frequency domain formant frequency estimation scheme for noisy speech signals","publication_year":2009,"publication_date":"2009-05-01","ids":{"openalex":"https://openalex.org/W2163296209","doi":"https://doi.org/10.1109/iscas.2009.5117977","mag":"2163296209"},"language":"en","primary_location":{"id":"doi:10.1109/iscas.2009.5117977","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas.2009.5117977","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Symposium on Circuits and Systems","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/A5074606314","display_name":"Shaikh Anowarul Fattah","orcid":"https://orcid.org/0000-0001-8090-2327"},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"S. A. Fattah","raw_affiliation_strings":["Centre of Signal Processing and Communications, Department of Electrical and Computer Engineering, Concordia University, Montreal, QUE, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre of Signal Processing and Communications, Department of Electrical and Computer Engineering, Concordia University, Montreal, QUE, Canada","institution_ids":["https://openalex.org/I60158472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033247734","display_name":"Wei\u2010Ping Zhu","orcid":"https://orcid.org/0000-0001-7955-7044"},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"W.-P. Zhu","raw_affiliation_strings":["Centre of Signal Processing and Communications, Department of Electrical and Computer Engineering, Concordia University, Montreal, QUE, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre of Signal Processing and Communications, Department of Electrical and Computer Engineering, Concordia University, Montreal, QUE, Canada","institution_ids":["https://openalex.org/I60158472"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068820891","display_name":"M. Omair Ahmad","orcid":"https://orcid.org/0000-0002-2924-6659"},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"M. O. Ahmad","raw_affiliation_strings":["Centre of Signal Processing and Communications, Department of Electrical and Computer Engineering, Concordia University, Montreal, QUE, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre of Signal Processing and Communications, Department of Electrical and Computer Engineering, Concordia University, Montreal, QUE, Canada","institution_ids":["https://openalex.org/I60158472"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3572,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.61840101,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"4","issue":null,"first_page":"1201","last_page":"1204"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9998000264167786,"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":0.9998000264167786,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9983999729156494,"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.994700014591217,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/formant","display_name":"Formant","score":0.9496467113494873},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6628889441490173},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.6614892482757568},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6354358792304993},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6061611175537109},{"id":"https://openalex.org/keywords/autocorrelation","display_name":"Autocorrelation","score":0.48530811071395874},{"id":"https://openalex.org/keywords/time-domain","display_name":"Time domain","score":0.4676515460014343},{"id":"https://openalex.org/keywords/speech-processing","display_name":"Speech processing","score":0.4166696071624756},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.41353797912597656},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25913095474243164},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.19428539276123047},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10821777582168579}],"concepts":[{"id":"https://openalex.org/C158215666","wikidata":"https://www.wikidata.org/wiki/Q1414685","display_name":"Formant","level":3,"score":0.9496467113494873},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6628889441490173},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.6614892482757568},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6354358792304993},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6061611175537109},{"id":"https://openalex.org/C5297727","wikidata":"https://www.wikidata.org/wiki/Q786970","display_name":"Autocorrelation","level":2,"score":0.48530811071395874},{"id":"https://openalex.org/C103824480","wikidata":"https://www.wikidata.org/wiki/Q185889","display_name":"Time domain","level":2,"score":0.4676515460014343},{"id":"https://openalex.org/C61328038","wikidata":"https://www.wikidata.org/wiki/Q3358061","display_name":"Speech processing","level":2,"score":0.4166696071624756},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.41353797912597656},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25913095474243164},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.19428539276123047},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10821777582168579},{"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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"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/C2779581591","wikidata":"https://www.wikidata.org/wiki/Q36244","display_name":"Vowel","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscas.2009.5117977","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas.2009.5117977","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Symposium on Circuits and Systems","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":0.4699999988079071}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1597732836","https://openalex.org/W2052063827","https://openalex.org/W2066718061","https://openalex.org/W2070696251","https://openalex.org/W2097143083","https://openalex.org/W2098885262","https://openalex.org/W2106610722","https://openalex.org/W2123901243","https://openalex.org/W2135034868","https://openalex.org/W2485688913","https://openalex.org/W6676241259"],"related_works":["https://openalex.org/W2782295999","https://openalex.org/W2162306796","https://openalex.org/W1970292246","https://openalex.org/W2016162169","https://openalex.org/W4247952185","https://openalex.org/W1642462315","https://openalex.org/W2015118744","https://openalex.org/W2005619368","https://openalex.org/W1879092539","https://openalex.org/W2526155427"],"abstract_inverted_index":{"Formant":[0,122],"frequency":[1,123],"is":[2,39,64,88,113,126,148],"a":[3,24,56,73,110,145],"one":[4],"of":[5,32,48,51,60,69,75,81,84,107,118,142,158],"the":[6,30,45,61,67,70,78,82,85,92,105,116,119,151,159],"most":[7],"important":[8],"speech":[9,16,37,63,87],"feature,":[10],"which":[11],"has":[12],"widespread":[13],"applications":[14],"in":[15,104,134,154],"recognition,":[17],"synthesis,":[18],"and":[19,131,137],"compression.":[20],"In":[21,41,95],"this":[22],"paper,":[23],"new":[25],"time-frequency":[26],"domain":[27],"scheme":[28,153],"for":[29,128],"estimation":[31,99,124],"formant":[33,93],"frequencies":[34],"from":[35],"noise-corrupted":[36],"signals":[38],"presented.":[40],"order":[42,96],"to":[43,90,97,156],"overcome":[44],"adverse":[46],"effect":[47],"noise,":[49],"instead":[50],"conventional":[52],"autocorrelation":[53],"function":[54],"(ACF),":[55],"repeated":[57],"ACF":[58],"(RACF)":[59],"noisy":[62,86,135],"employed.":[65],"Exploiting":[66],"characteristics":[68],"zero":[71],"lag,":[72],"set":[74],"equations":[76],"containing":[77],"lower":[79],"lags":[80],"RACF":[83,117],"used":[89],"estimate":[91],"frequencies.":[94],"avoid":[98],"errors":[100],"that":[101],"may":[102],"occur":[103],"case":[106],"weak":[108],"formants,":[109],"frequency-domain":[111],"algorithm":[112],"introduced":[114],"utilizing":[115],"observed":[120],"speech.":[121],"accuracy":[125],"measured":[127],"different":[129],"natural":[130],"synthetic":[132],"vowels":[133],"environments":[136],"even":[138],"at":[139],"low":[140],"levels":[141],"signal-to-noise":[143],"ratio,":[144],"better":[146],"performance":[147],"obtained":[149],"by":[150],"proposed":[152],"comparison":[155],"some":[157],"existing":[160],"methods.":[161]},"counts_by_year":[{"year":2015,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}