{"id":"https://openalex.org/W1860310103","doi":"https://doi.org/10.1109/icassp.1982.1171643","title":"Hierarchical AR model for time varying speech signals","display_name":"Hierarchical AR model for time varying speech signals","publication_year":2005,"publication_date":"2005-03-24","ids":{"openalex":"https://openalex.org/W1860310103","doi":"https://doi.org/10.1109/icassp.1982.1171643","mag":"1860310103"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.1982.1171643","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.1982.1171643","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP '82. IEEE International Conference on Acoustics, Speech, and Signal Processing","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/A5034050904","display_name":"Osamu Kakusho","orcid":null},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"Osaka University","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"O. Kakusho","raw_affiliation_strings":["Osaka University, Suita, Japan"],"affiliations":[{"raw_affiliation_string":"Osaka University, Suita, Japan","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069956180","display_name":"Masuzo Yanagida","orcid":null},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"Osaka University","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"M. Yanagida","raw_affiliation_strings":["Osaka University, Suita, Japan"],"affiliations":[{"raw_affiliation_string":"Osaka University, Suita, Japan","institution_ids":["https://openalex.org/I98285908"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5034050904"],"corresponding_institution_ids":["https://openalex.org/I98285908"],"apc_list":null,"apc_paid":null,"fwci":0.3179,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.5450116,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"7","issue":null,"first_page":"1295","last_page":"1298"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9042999744415283,"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":0.9042999744415283,"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/computer-science","display_name":"Computer science","score":0.7083611488342285},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6483213305473328},{"id":"https://openalex.org/keywords/speech-processing","display_name":"Speech processing","score":0.45139947533607483}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7083611488342285},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6483213305473328},{"id":"https://openalex.org/C61328038","wikidata":"https://www.wikidata.org/wiki/Q3358061","display_name":"Speech processing","level":2,"score":0.45139947533607483}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.1982.1171643","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.1982.1171643","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP '82. IEEE International Conference on Acoustics, Speech, and Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5199999809265137,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":2,"referenced_works":["https://openalex.org/W1542956342","https://openalex.org/W3216490951"],"related_works":["https://openalex.org/W2981428355","https://openalex.org/W1834994814","https://openalex.org/W2041273198","https://openalex.org/W1599055764","https://openalex.org/W2131711534","https://openalex.org/W2149163000","https://openalex.org/W2962858469","https://openalex.org/W2289873871","https://openalex.org/W2559040841","https://openalex.org/W114661351"],"abstract_inverted_index":{"The":[0,19,44,93],"auto-regressive(AR)":[1],"model":[2],"is":[3,21,27,46,56,77,95],"adopted":[4],"to":[5,29,58,107,119],"the":[6,33,60,75,83,90,104,109,114,121,125,130,136,140,144,148],"trajectories":[7,84],"of":[8,35,42,63,82,85,100],"speech":[9,38],"feature":[10,53,64,86,111],"parameters":[11,87,112,127],"such":[12,128],"as":[13,129],"linear":[14],"predictors":[15],"and":[16,26,51,74,103,118,143],"formant":[17],"frequencies.":[18],"procedure":[20],"hierarchical":[22],"in":[23,48],"its":[24],"structure":[25],"expected":[28],"be":[30],"suitable":[31],"for":[32,69,113,124,135,147],"analysis":[34,91,102,117,126],"time":[36],"varying":[37],"or":[39],"non-stationary":[40],"parts":[41],"speech.":[43],"method":[45,76,94],"formulated":[47],"matrix":[49,55],"form":[50],"a":[52],"transition":[54],"introduced":[57],"express":[59],"temporal":[61],"variation":[62],"parameter":[65],"vectors.":[66],"Analysis":[67],"examples":[68],"CV":[70],"syllables":[71],"are":[72,106],"shown":[73],"confirmed":[78],"by":[79],"successful":[80],"reconstruction":[81],"based":[88],"on":[89],"results.":[92],"divided":[96],"into":[97],"two":[98],"stages":[99],"LP":[101],"problems":[105],"choose":[108],"preferable":[110],"second":[115,149],"stage":[116,138,150],"find":[120],"appropriate":[122],"values":[123],"window":[131,145],"length,":[132],"shift":[133],"interval":[134],"first":[137],"analysis,":[139],"prediction":[141],"order":[142],"length":[146],"analysis.":[151]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}