{"id":"https://openalex.org/W1908407939","doi":"https://doi.org/10.1109/ecai.2015.7301156","title":"Improved Automatic Speech Recognition system by using compressed sensing signal reconstruction based on L0 and L1 estimation algorithms","display_name":"Improved Automatic Speech Recognition system by using compressed sensing signal reconstruction based on L0 and L1 estimation algorithms","publication_year":2015,"publication_date":"2015-06-01","ids":{"openalex":"https://openalex.org/W1908407939","doi":"https://doi.org/10.1109/ecai.2015.7301156","mag":"1908407939"},"language":"en","primary_location":{"id":"doi:10.1109/ecai.2015.7301156","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ecai.2015.7301156","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 7th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)","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/A5029379257","display_name":"Mihai Gavrilescu","orcid":"https://orcid.org/0000-0002-4616-7362"},"institutions":[{"id":"https://openalex.org/I61641377","display_name":"Universitatea Na\u021bional\u0103 de \u0218tiin\u021b\u0103 \u0219i Tehnologie Politehnica Bucure\u0219ti","ror":"https://ror.org/0558j5q12","country_code":"RO","type":"education","lineage":["https://openalex.org/I61641377"]}],"countries":["RO"],"is_corresponding":true,"raw_author_name":"Mihai Gavrilescu","raw_affiliation_strings":["Department of Telecommunications, Romania, University \u201cPolitehnica\u201d Bucharest, Bucharest 6, Romania","University Politehnica Bucharest, Department of Telecommunications, Romania, 1-3 Iuliu Maniu Blvd, 061071, Bucharest 6, Romania"],"affiliations":[{"raw_affiliation_string":"Department of Telecommunications, Romania, University \u201cPolitehnica\u201d Bucharest, Bucharest 6, Romania","institution_ids":["https://openalex.org/I61641377"]},{"raw_affiliation_string":"University Politehnica Bucharest, Department of Telecommunications, Romania, 1-3 Iuliu Maniu Blvd, 061071, Bucharest 6, Romania","institution_ids":["https://openalex.org/I61641377"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5029379257"],"corresponding_institution_ids":["https://openalex.org/I61641377"],"apc_list":null,"apc_paid":null,"fwci":0.5743,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.65832896,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"10","issue":null,"first_page":"S","last_page":"23"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":1.0,"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":1.0,"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/T11447","display_name":"Blind Source Separation Techniques","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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/hidden-markov-model","display_name":"Hidden Markov model","score":0.7559980154037476},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.693473756313324},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6785990595817566},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.4848576784133911},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4778977632522583},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.47655847668647766},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.44236499071121216},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4407525062561035},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4397849440574646},{"id":"https://openalex.org/keywords/least-absolute-deviations","display_name":"Least absolute deviations","score":0.423550009727478},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14852824807167053}],"concepts":[{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.7559980154037476},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.693473756313324},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6785990595817566},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.4848576784133911},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4778977632522583},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.47655847668647766},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.44236499071121216},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4407525062561035},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4397849440574646},{"id":"https://openalex.org/C31441030","wikidata":"https://www.wikidata.org/wiki/Q4291882","display_name":"Least absolute deviations","level":3,"score":0.423550009727478},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14852824807167053},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ecai.2015.7301156","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ecai.2015.7301156","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 7th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2043658519","https://openalex.org/W2046565007","https://openalex.org/W2076268407","https://openalex.org/W2097323375","https://openalex.org/W2115281877","https://openalex.org/W2141520175","https://openalex.org/W2160815625","https://openalex.org/W2167191127","https://openalex.org/W2170507371","https://openalex.org/W2184045248","https://openalex.org/W2322811204","https://openalex.org/W2919011965","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2053269318","https://openalex.org/W2136763963","https://openalex.org/W2109705048","https://openalex.org/W2940588515","https://openalex.org/W1909151225","https://openalex.org/W1987783679","https://openalex.org/W2160030256","https://openalex.org/W4253235840","https://openalex.org/W3151937861","https://openalex.org/W2537887767"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,11,47],"way":[4],"of":[5,10,58,70,100],"improving":[6],"the":[7,24,36,56,67,71,89],"recognition":[8],"rate":[9],"typical":[12],"Hidden":[13],"Markov":[14],"Model":[15],"(HMM)-based":[16],"Automatic":[17],"Speech":[18],"Recognition":[19],"(ASR)":[20],"system":[21,85],"by":[22,92],"integrating":[23],"l":[25,37],"<sub":[26,38],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[27,39],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</sub>":[28],"-":[29,41],"least":[30,42],"absolute":[31],"deviation":[32],"(LAD)":[33],"algorithm":[34,45],"and":[35,78],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">0</sub>":[40],"square":[43],"(LS)":[44],"in":[46,62],"framework":[48],"designed":[49],"to":[50],"selectively":[51],"use":[52],"them":[53],"based":[54],"on":[55],"level":[57],"impulse":[59],"noise":[60],"present":[61,66],"speech":[63],"signal.":[64],"We":[65],"overall":[68],"architecture":[69],"model,":[72],"as":[73,75,95,97],"well":[74,96],"experimental":[76],"results":[77],"compare":[79],"our":[80],"enhanced":[81],"noise-robust":[82],"HMM-based":[83],"ASR":[84],"with":[86],"state-of-the-art":[87],"proving":[88],"improvements":[90],"brought":[91],"this":[93],"approach":[94],"future":[98],"directions":[99],"research.":[101]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
