{"id":"https://openalex.org/W1908532880","doi":"https://doi.org/10.1109/icassp.1979.1170729","title":"Optimal estimation and speech analysis","display_name":"Optimal estimation and speech analysis","publication_year":2005,"publication_date":"2005-03-24","ids":{"openalex":"https://openalex.org/W1908532880","doi":"https://doi.org/10.1109/icassp.1979.1170729","mag":"1908532880"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.1979.1170729","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5009244939","display_name":"Jerry D. Gibson","orcid":"https://orcid.org/0000-0002-9827-1196"},"institutions":[],"countries":["US"],"is_corresponding":false,"raw_author_name":"J. Gibson","raw_affiliation_strings":["Telecommunication and Control Systems Laboratory Department 0f Electrical Engineering, Texas A and M University, College Station, TX, USA"],"affiliations":[{"raw_affiliation_string":"Telecommunication and Control Systems Laboratory Department 0f Electrical Engineering, Texas A and M University, College Station, TX, USA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011193376","display_name":"Andrew Clark Goris","orcid":null},"institutions":[],"countries":["US"],"is_corresponding":false,"raw_author_name":"A. Goris","raw_affiliation_strings":["Telecommunication and Control Systems Laboratory Department 0f Electrical Engineering, Texas A and M University, College Station, TX, USA"],"affiliations":[{"raw_affiliation_string":"Telecommunication and Control Systems Laboratory Department 0f Electrical Engineering, Texas A and M University, College Station, TX, USA","institution_ids":[]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.292,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":3,"citation_normalized_percentile":{"value":0.28455,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":71,"max":74},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech Enhancement Techniques","score":0.9995,"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 Enhancement Techniques","score":0.9995,"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":"Adaptive Filtering in Non-Gaussian Signal Processing","score":0.9994,"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/T10711","display_name":"Particle Filtering and Nonlinear Estimation Methods","score":0.9979,"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/identification","display_name":"Identification (biology)","score":0.579673},{"id":"https://openalex.org/keywords/state-estimation","display_name":"State Estimation","score":0.562514},{"id":"https://openalex.org/keywords/distributed-estimation","display_name":"Distributed Estimation","score":0.543668},{"id":"https://openalex.org/keywords/speech-enhancement","display_name":"Speech Enhancement","score":0.536163},{"id":"https://openalex.org/keywords/audio-visual-speech-recognition","display_name":"Audio-Visual Speech Recognition","score":0.535162},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.42621315}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.71977353},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.579673},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.5774067},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5358338},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.52240276},{"id":"https://openalex.org/C61328038","wikidata":"https://www.wikidata.org/wiki/Q3358061","display_name":"Speech processing","level":2,"score":0.51504445},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.49420694},{"id":"https://openalex.org/C72434380","wikidata":"https://www.wikidata.org/wiki/Q230930","display_name":"State space","level":2,"score":0.4761945},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.42621315},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.4123887},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34859598},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20370552},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1387234},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.076196104},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.1979.1170729","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":4,"referenced_works":["https://openalex.org/W1966264494","https://openalex.org/W1995536493","https://openalex.org/W2006633770","https://openalex.org/W2093900230"],"related_works":["https://openalex.org/W4383503847","https://openalex.org/W4249206767","https://openalex.org/W4243860260","https://openalex.org/W2608353378","https://openalex.org/W2576994247","https://openalex.org/W2563559453","https://openalex.org/W2382330008","https://openalex.org/W2342695897","https://openalex.org/W2216265843","https://openalex.org/W1519970947"],"abstract_inverted_index":{"Optimal":[0],"estimation":[1],"algorithms":[2,35],"for":[3,10,44],"the":[4,7,31,34,46],"identification":[5],"of":[6,30],"predictor":[8,47],"coefficients":[9],"both":[11],"undistorted":[12],"and":[13,25,33,56],"distorted":[14],"speech":[15,60],"are":[16,40,62],"developed":[17],"by":[18],"first":[19],"specifying":[20],"appropriate":[21],"state":[22,51],"space":[23],"message":[24],"observation":[26],"models.":[27],"Those":[28],"portions":[29],"models":[32],"which":[36],"impede":[37],"their":[38],"utility":[39],"discussed.":[41],"A":[42],"technique":[43],"identifying":[45],"coefficient":[48],"vector":[49],"single-stage":[50],"transition":[52],"matrix":[53],"is":[54],"derived,":[55],"experimental":[57],"results":[58],"using":[59],"data":[61],"presented.":[63]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W1908532880","counts_by_year":[],"updated_date":"2024-12-03T10:53:54.065442","created_date":"2016-06-24"}