{"id":"https://openalex.org/W2019820129","doi":"https://doi.org/10.1109/icassp.2014.6854809","title":"An adaptive time-frequency analysis scheme for improved real-time speech enhancement","display_name":"An adaptive time-frequency analysis scheme for improved real-time speech enhancement","publication_year":2014,"publication_date":"2014-05-01","ids":{"openalex":"https://openalex.org/W2019820129","doi":"https://doi.org/10.1109/icassp.2014.6854809","mag":"2019820129"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2014.6854809","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2014.6854809","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5082119226","display_name":"Kristian Timm Andersen","orcid":null},"institutions":[{"id":"https://openalex.org/I99464096","display_name":"KU Leuven","ror":"https://ror.org/05f950310","country_code":"BE","type":"education","lineage":["https://openalex.org/I99464096"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Kristian Timm Andersen","raw_affiliation_strings":["ESAT/STADIUS, KU Leuven, Leuven, Belgium","ESAT-STADIUS, KU Leuven , Leuven, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ESAT/STADIUS, KU Leuven, Leuven, Belgium","institution_ids":["https://openalex.org/I99464096"]},{"raw_affiliation_string":"ESAT-STADIUS, KU Leuven , Leuven, Belgium","institution_ids":["https://openalex.org/I99464096"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051849103","display_name":"Marc Moonen","orcid":"https://orcid.org/0000-0003-4461-0073"},"institutions":[{"id":"https://openalex.org/I99464096","display_name":"KU Leuven","ror":"https://ror.org/05f950310","country_code":"BE","type":"education","lineage":["https://openalex.org/I99464096"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Marc Moonen","raw_affiliation_strings":["ESAT/STADIUS, KU Leuven, Leuven, Belgium","ESAT-STADIUS, KU Leuven , Leuven, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ESAT/STADIUS, KU Leuven, Leuven, Belgium","institution_ids":["https://openalex.org/I99464096"]},{"raw_affiliation_string":"ESAT-STADIUS, KU Leuven , Leuven, Belgium","institution_ids":["https://openalex.org/I99464096"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I99464096"],"apc_list":null,"apc_paid":null,"fwci":0.2485,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.40482797,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"11","issue":null,"first_page":"6265","last_page":"6269"},"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9994999766349792,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.996399998664856,"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/short-time-fourier-transform","display_name":"Short-time Fourier transform","score":0.8879790306091309},{"id":"https://openalex.org/keywords/time\u2013frequency-analysis","display_name":"Time\u2013frequency analysis","score":0.7419006824493408},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6956157684326172},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5831692814826965},{"id":"https://openalex.org/keywords/adaptive-filter","display_name":"Adaptive filter","score":0.5459089279174805},{"id":"https://openalex.org/keywords/fast-fourier-transform","display_name":"Fast Fourier transform","score":0.4747495949268341},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.4671952724456787},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4536130726337433},{"id":"https://openalex.org/keywords/bin","display_name":"Bin","score":0.43436336517333984},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4225956201553345},{"id":"https://openalex.org/keywords/fourier-analysis","display_name":"Fourier analysis","score":0.29608091711997986},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26337549090385437},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.08831027150154114}],"concepts":[{"id":"https://openalex.org/C166386157","wikidata":"https://www.wikidata.org/wiki/Q1477735","display_name":"Short-time Fourier transform","level":4,"score":0.8879790306091309},{"id":"https://openalex.org/C142433447","wikidata":"https://www.wikidata.org/wiki/Q7806653","display_name":"Time\u2013frequency analysis","level":3,"score":0.7419006824493408},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6956157684326172},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5831692814826965},{"id":"https://openalex.org/C102248274","wikidata":"https://www.wikidata.org/wiki/Q168388","display_name":"Adaptive filter","level":2,"score":0.5459089279174805},{"id":"https://openalex.org/C75172450","wikidata":"https://www.wikidata.org/wiki/Q623950","display_name":"Fast Fourier transform","level":2,"score":0.4747495949268341},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.4671952724456787},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4536130726337433},{"id":"https://openalex.org/C156273044","wikidata":"https://www.wikidata.org/wiki/Q4913766","display_name":"Bin","level":2,"score":0.43436336517333984},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4225956201553345},{"id":"https://openalex.org/C203024314","wikidata":"https://www.wikidata.org/wiki/Q1365258","display_name":"Fourier analysis","level":3,"score":0.29608091711997986},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26337549090385437},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.08831027150154114},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icassp.2014.6854809","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2014.6854809","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:lirias2repo.kuleuven.be:123456789/425901","is_oa":false,"landing_page_url":"https://lirias.kuleuven.be/bitstream/123456789/425901/2/13-228.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S7407055369","display_name":"Lirias","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ICASSP 2014, Florence, Italy, 4-9 May 2014","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W88987024","https://openalex.org/W1493163583","https://openalex.org/W1502398685","https://openalex.org/W2062990347","https://openalex.org/W2121973264","https://openalex.org/W2127971633","https://openalex.org/W2144404214","https://openalex.org/W2154543331","https://openalex.org/W3147539069","https://openalex.org/W4247914945","https://openalex.org/W4301036370","https://openalex.org/W6629956514"],"related_works":["https://openalex.org/W2326454079","https://openalex.org/W564939545","https://openalex.org/W2533590149","https://openalex.org/W4293267999","https://openalex.org/W2560154230","https://openalex.org/W2964898233","https://openalex.org/W2029494570","https://openalex.org/W2129331087","https://openalex.org/W2539126704","https://openalex.org/W2380313808"],"abstract_inverted_index":{"An":[0],"adaptive":[1,27,78],"time-frequency":[2,55],"analysis":[3,42,79],"scheme":[4,14,120],"is":[5,30,67,88,108],"proposed":[6,13,51,106],"for":[7,61],"improved":[8],"real-time":[9],"speech":[10,72],"enhancement.":[11],"The":[12,105],"uses":[15,35],"a":[16,85,116],"filtering":[17],"of":[18,96,126],"the":[19,41,50,54,71,77,93,97,102],"short-time":[20],"Fourier":[21,37],"transform":[22],"(STFT)":[23],"to":[24,57,84,91,99,110,115],"obtain":[25],"an":[26,122],"resolution":[28,56,118],"and":[29,43,80],"computationally":[31],"efficient,":[32],"since":[33],"it":[34],"fast":[36],"transforms":[38],"(FFTs)":[39],"in":[40],"synthesis":[44,103],"filters.":[45],"Unlike":[46],"previously":[47],"suggested":[48],"methods,":[49],"method":[52,107],"allows":[53],"be":[58],"chosen":[59],"independently":[60],"each":[62],"frequency":[63],"bin.":[64],"Perfect":[65],"reconstruction":[66],"achieved":[68],"by":[69],"calculating":[70],"enhancement":[73],"gains":[74,98],"based":[75],"on":[76],"then":[81,89],"applying":[82],"these":[83],"STFT":[86,119],"which":[87],"filtered":[90],"allow":[92],"causal":[94],"part":[95],"pass":[100],"through":[101],"filter.":[104],"shown":[109],"have":[111],"superior":[112],"performance":[113],"compared":[114],"fixed":[117],"with":[121],"equal":[123],"time":[124],"delay":[125],"10":[127],"ms.":[128]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
