{"id":"https://openalex.org/W83163531","doi":"https://doi.org/10.21437/eurospeech.2001-576","title":"Robust LP analysis using glottal source HMM with application to high-pitched and noise corrupted speech","display_name":"Robust LP analysis using glottal source HMM with application to high-pitched and noise corrupted speech","publication_year":2001,"publication_date":"2001-09-03","ids":{"openalex":"https://openalex.org/W83163531","doi":"https://doi.org/10.21437/eurospeech.2001-576","mag":"83163531"},"language":"en","primary_location":{"id":"doi:10.21437/eurospeech.2001-576","is_oa":false,"landing_page_url":"https://doi.org/10.21437/eurospeech.2001-576","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"7th European Conference on Speech Communication and Technology (Eurospeech 2001)","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/A5046057045","display_name":"Akira Sasou","orcid":"https://orcid.org/0000-0003-1700-0325"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Akira Sasou","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5103480519","display_name":"Kazuyo Tanaka","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kazuyo Tanaka","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9401,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.74399821,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"2443","last_page":"2446"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9986000061035156,"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":0.9986000061035156,"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":0.996399998664856,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.960099995136261,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/vocal-tract","display_name":"Vocal tract","score":0.8096384406089783},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.7704329490661621},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6701174378395081},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.6436443328857422},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.56966233253479},{"id":"https://openalex.org/keywords/white-noise","display_name":"White noise","score":0.4549013376235962},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.448293000459671},{"id":"https://openalex.org/keywords/bioacoustics","display_name":"Bioacoustics","score":0.4280989170074463},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3839911222457886},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.31900060176849365},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.0801740288734436},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07185974717140198}],"concepts":[{"id":"https://openalex.org/C47401133","wikidata":"https://www.wikidata.org/wiki/Q748953","display_name":"Vocal tract","level":2,"score":0.8096384406089783},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.7704329490661621},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6701174378395081},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.6436443328857422},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.56966233253479},{"id":"https://openalex.org/C112633086","wikidata":"https://www.wikidata.org/wiki/Q381287","display_name":"White noise","level":2,"score":0.4549013376235962},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.448293000459671},{"id":"https://openalex.org/C34951282","wikidata":"https://www.wikidata.org/wiki/Q864191","display_name":"Bioacoustics","level":2,"score":0.4280989170074463},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3839911222457886},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31900060176849365},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0801740288734436},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07185974717140198},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21437/eurospeech.2001-576","is_oa":false,"landing_page_url":"https://doi.org/10.21437/eurospeech.2001-576","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"7th European Conference on Speech Communication and Technology (Eurospeech 2001)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.6600000262260437,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W140137236","https://openalex.org/W1966264494","https://openalex.org/W1982139997","https://openalex.org/W2097645910"],"related_works":["https://openalex.org/W2136763963","https://openalex.org/W2109705048","https://openalex.org/W2940588515","https://openalex.org/W1909151225","https://openalex.org/W1987783679","https://openalex.org/W2067459736","https://openalex.org/W2160030256","https://openalex.org/W1521297879","https://openalex.org/W2105635394","https://openalex.org/W4253235840"],"abstract_inverted_index":{"Abstract":[0],"This":[1],"paper":[2],"presents":[3],"a":[4],"robust":[5],"feature":[6],"extraction":[7],"method":[8,23],"effec-tive":[9],"to":[10,32,46,71,123],"speech":[11,63,82],"signal":[12],"with":[13],"high":[14],"fundamental":[15],"frequency":[16,67],"and/orcorrupted":[17],"by":[18,84],"additive":[19,85],"white":[20],"noise.":[21],"The":[22,37],"represents":[24],"theglottal":[25],"source":[26,58,89,116,121],"wave":[27,59,90],"using":[28],"HMM":[29,40,122],"in":[30,43],"order":[31],"model":[33],"the":[34,48,111,119,125,133],"non-stationary":[35],"properties.":[36],"nodes":[38],"of":[39,50,77,105,114],"are":[41],"concatenated":[42],"aring":[44],"state":[45],"represent":[47],"periodicity":[49],"voiced":[51],"sounds.":[52],"Themethod":[53],"can":[54],"accurately":[55],"extract":[56],"glottal":[57,88,115,120,126],"and":[60,131],"vocaltract":[61],"characteristicsfrom":[62],"signals":[64],"evenin":[65],"highfundamen-tal":[66],"as":[68],"ranging":[69],"up":[70],"750Hz.":[72],"From":[73],"identi\ufb01cation":[74],"the-ory,":[75],"estimation":[76,103,112],"vocal":[78,106],"tract":[79,107],"characteristics":[80,108],"from":[81,128],"cor-rupted":[83],"noise":[86],"requires":[87],"that":[91,97],"cannot":[92],"be":[93,100],"observed":[94],"directly,":[95],"so":[96],"it":[98],"needsto":[99],"estimated.":[101],"There-fore,":[102],"accuracy":[104,113],"highlydepends":[109],"on":[110],"wave.":[117],"Weapply":[118],"extracting":[124],"sourcewave":[127],"corrupted":[129],"speech,":[130],"con\ufb01rmed":[132],"feasibility":[134],"ofthe":[135],"method.":[136],"1.":[137],"Introduction":[138]},"counts_by_year":[{"year":2013,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}