{"id":"https://openalex.org/W2985911856","doi":"https://doi.org/10.23919/eusipco.2019.8903029","title":"A New Weighted NMF Algorithm For Missing Data Interpolation And Its Application To Speech Enhancement","display_name":"A New Weighted NMF Algorithm For Missing Data Interpolation And Its Application To Speech Enhancement","publication_year":2019,"publication_date":"2019-09-01","ids":{"openalex":"https://openalex.org/W2985911856","doi":"https://doi.org/10.23919/eusipco.2019.8903029","mag":"2985911856"},"language":"en","primary_location":{"id":"doi:10.23919/eusipco.2019.8903029","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco.2019.8903029","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 27th European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://biblio.ugent.be/publication/8629089","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5031663384","display_name":"Sushmita Thakallapalli","orcid":"https://orcid.org/0000-0002-1742-5668"},"institutions":[{"id":"https://openalex.org/I65181880","display_name":"Indian Institute of Technology Hyderabad","ror":"https://ror.org/01j4v3x97","country_code":"IN","type":"education","lineage":["https://openalex.org/I65181880"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sushmita Thakallapalli","raw_affiliation_strings":["Speech Processing Laboratory IIIT, Hyderabad, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Speech Processing Laboratory IIIT, Hyderabad, India","institution_ids":["https://openalex.org/I65181880"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058673990","display_name":"Suryakanth V. Gangashetty","orcid":"https://orcid.org/0000-0001-6745-4363"},"institutions":[{"id":"https://openalex.org/I65181880","display_name":"Indian Institute of Technology Hyderabad","ror":"https://ror.org/01j4v3x97","country_code":"IN","type":"education","lineage":["https://openalex.org/I65181880"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Suryakanth Gangashetty","raw_affiliation_strings":["Speech Processing Laboratory IIIT, Hyderabad, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Speech Processing Laboratory IIIT, Hyderabad, India","institution_ids":["https://openalex.org/I65181880"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081844255","display_name":"Nilesh Madhu","orcid":"https://orcid.org/0000-0001-9131-3309"},"institutions":[{"id":"https://openalex.org/I32597200","display_name":"Ghent University","ror":"https://ror.org/00cv9y106","country_code":"BE","type":"education","lineage":["https://openalex.org/I32597200"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Nilesh Madhu","raw_affiliation_strings":["IDLab, Dept. Electronics & Information Systems Ghent University - imec, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IDLab, Dept. Electronics & Information Systems Ghent University - imec, Belgium","institution_ids":["https://openalex.org/I32597200"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3823,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.53178749,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/missing-data","display_name":"Missing data","score":0.8740096092224121},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.7732160091400146},{"id":"https://openalex.org/keywords/pesq","display_name":"PESQ","score":0.7213298678398132},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6899594068527222},{"id":"https://openalex.org/keywords/non-negative-matrix-factorization","display_name":"Non-negative matrix factorization","score":0.6192491054534912},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.5007364749908447},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4973609745502472},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.47065985202789307},{"id":"https://openalex.org/keywords/speech-enhancement","display_name":"Speech enhancement","score":0.4590238034725189},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3525813817977905},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.336496502161026},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26777398586273193},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.22983187437057495},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.14228063821792603},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.06986525654792786}],"concepts":[{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.8740096092224121},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.7732160091400146},{"id":"https://openalex.org/C103734657","wikidata":"https://www.wikidata.org/wiki/Q2739975","display_name":"PESQ","level":4,"score":0.7213298678398132},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6899594068527222},{"id":"https://openalex.org/C152671427","wikidata":"https://www.wikidata.org/wiki/Q10843505","display_name":"Non-negative matrix factorization","level":4,"score":0.6192491054534912},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.5007364749908447},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4973609745502472},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.47065985202789307},{"id":"https://openalex.org/C2776182073","wikidata":"https://www.wikidata.org/wiki/Q7575395","display_name":"Speech enhancement","level":3,"score":0.4590238034725189},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3525813817977905},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.336496502161026},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26777398586273193},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.22983187437057495},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.14228063821792603},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.06986525654792786},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.23919/eusipco.2019.8903029","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco.2019.8903029","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 27th European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"},{"id":"pmh:oai:archive.ugent.be:8629089","is_oa":true,"landing_page_url":"https://biblio.ugent.be/publication/8629089","pdf_url":null,"source":{"id":"https://openalex.org/S4306400478","display_name":"Ghent University Academic Bibliography (Ghent University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I32597200","host_organization_name":"Ghent University","host_organization_lineage":["https://openalex.org/I32597200"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ISBN: 9789082797039","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:archive.ugent.be:8629089","is_oa":true,"landing_page_url":"https://biblio.ugent.be/publication/8629089","pdf_url":null,"source":{"id":"https://openalex.org/S4306400478","display_name":"Ghent University Academic Bibliography (Ghent University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I32597200","host_organization_name":"Ghent University","host_organization_lineage":["https://openalex.org/I32597200"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ISBN: 9789082797039","raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W160800111","https://openalex.org/W1479822238","https://openalex.org/W1687555731","https://openalex.org/W1805162375","https://openalex.org/W1995190897","https://openalex.org/W2016891207","https://openalex.org/W2118862682","https://openalex.org/W2121973264","https://openalex.org/W2130476329","https://openalex.org/W2135029798","https://openalex.org/W2135823751","https://openalex.org/W2144561273","https://openalex.org/W2152828463","https://openalex.org/W2155998647","https://openalex.org/W2158336491","https://openalex.org/W2606275289","https://openalex.org/W3147539069","https://openalex.org/W6680012447"],"related_works":["https://openalex.org/W3016109656","https://openalex.org/W2058482658","https://openalex.org/W2496219578","https://openalex.org/W1973895194","https://openalex.org/W3135613579","https://openalex.org/W2587141595","https://openalex.org/W4388016426","https://openalex.org/W3100604685","https://openalex.org/W1980687383","https://openalex.org/W4386746628"],"abstract_inverted_index":{"In":[0,99],"this":[1,50,100],"paper":[2],"we":[3,103],"present":[4],"a":[5,19,76],"novel":[6,150],"weighted":[7],"NMF":[8,27],"(WNMF)":[9],"algorithm":[10],"for":[11,75],"interpolating":[12],"missing":[13,41,90,133,168],"data.":[14],"The":[15,119],"proposed":[16,72,111],"approach":[17,73],"has":[18,30],"computational":[20],"cost":[21],"equivalent":[22],"to":[23,33,55,93,113,137],"that":[24],"of":[25,37,67,87,96,131,140,157,167],"standard":[26],"and,":[28,52],"additionally,":[29],"the":[31,35,40,57,60,65,68,71,80,85,94,105,110,128,132,138,141,155,165],"flexibility":[32],"control":[34],"degree":[36],"interpolation":[38,170],"in":[39,59,79,154,164],"data":[42,91,134,169],"regions.":[43,62],"Existing":[44],"WNMF":[45,88],"methods":[46],"do":[47],"not":[48,152],"offer":[49],"capability":[51],"thereby,":[53],"tend":[54],"overestimate":[56],"values":[58],"masked":[61],"By":[63],"constraining":[64],"estimates":[66],"missing-data":[69],"regions,":[70],"allows":[74],"better":[77],"trade-off":[78],"interpolation.":[81],"We":[82],"further":[83],"demonstrate":[84],"applicability":[86],"and":[89,124],"estimation":[92],"problem":[95],"speech":[97,158],"enhancement.":[98],"preliminary":[101,146],"work,":[102],"consider":[104],"improvement":[106],"obtainable":[107],"by":[108],"applying":[109],"method":[112],"ideal":[114,142],"binary":[115,143],"mask-based":[116],"gain":[117],"functions.":[118],"instrumental":[120],"quality":[121],"metrics":[122],"(PESQ":[123],"SNR)":[125],"clearly":[126],"indicate":[127],"added":[129],"benefit":[130],"interpolation,":[135],"compared":[136],"output":[139],"mask.":[144],"This":[145],"work":[147],"opens":[148],"up":[149],"possibilities":[151],"only":[153],"field":[156,166],"enhancement":[159],"but":[160],"also,":[161],"more":[162],"generally,":[163],"using":[171],"NMF.":[172]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}