{"id":"https://openalex.org/W2765354537","doi":"https://doi.org/10.1109/tsp.2017.8076001","title":"Variable sparsity regularization factor based SNMF for monaural speech separation","display_name":"Variable sparsity regularization factor based SNMF for monaural speech separation","publication_year":2017,"publication_date":"2017-07-01","ids":{"openalex":"https://openalex.org/W2765354537","doi":"https://doi.org/10.1109/tsp.2017.8076001","mag":"2765354537"},"language":"en","primary_location":{"id":"doi:10.1109/tsp.2017.8076001","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2017.8076001","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 40th International Conference on Telecommunications and Signal Processing (TSP)","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/A5019263768","display_name":"Yash Vardhan Varshney","orcid":"https://orcid.org/0000-0001-9254-8986"},"institutions":[{"id":"https://openalex.org/I171210897","display_name":"Aligarh Muslim University","ror":"https://ror.org/03kw9gc02","country_code":"IN","type":"education","lineage":["https://openalex.org/I171210897"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Yash Vardhan Varshney","raw_affiliation_strings":["Department of Electronics Enginerring, Aligarh Muslim University, Aligarh, INDIA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics Enginerring, Aligarh Muslim University, Aligarh, INDIA","institution_ids":["https://openalex.org/I171210897"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028195658","display_name":"Z.A. Abbasi","orcid":null},"institutions":[{"id":"https://openalex.org/I171210897","display_name":"Aligarh Muslim University","ror":"https://ror.org/03kw9gc02","country_code":"IN","type":"education","lineage":["https://openalex.org/I171210897"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Zia Ahmad Abbasi","raw_affiliation_strings":["Department of Electronics Enginerring, Aligarh Muslim University, Aligarh, INDIA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics Enginerring, Aligarh Muslim University, Aligarh, INDIA","institution_ids":["https://openalex.org/I171210897"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110631159","display_name":"Musiur Raza Abidi","orcid":null},"institutions":[{"id":"https://openalex.org/I171210897","display_name":"Aligarh Muslim University","ror":"https://ror.org/03kw9gc02","country_code":"IN","type":"education","lineage":["https://openalex.org/I171210897"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Musiur Raza Abidi","raw_affiliation_strings":["Department of Electronics Enginerring, Aligarh Muslim University, Aligarh, INDIA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics Enginerring, Aligarh Muslim University, Aligarh, INDIA","institution_ids":["https://openalex.org/I171210897"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073018001","display_name":"Omar Farooq","orcid":"https://orcid.org/0000-0002-4648-2733"},"institutions":[{"id":"https://openalex.org/I171210897","display_name":"Aligarh Muslim University","ror":"https://ror.org/03kw9gc02","country_code":"IN","type":"education","lineage":["https://openalex.org/I171210897"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Omar Farooq","raw_affiliation_strings":["Department of Electronics Enginerring, Aligarh Muslim University, Aligarh, INDIA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics Enginerring, Aligarh Muslim University, Aligarh, INDIA","institution_ids":["https://openalex.org/I171210897"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I171210897"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"18","issue":null,"first_page":"342","last_page":"345"},"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":0.9995999932289124,"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":0.9994999766349792,"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/monaural","display_name":"Monaural","score":0.8574738502502441},{"id":"https://openalex.org/keywords/timit","display_name":"TIMIT","score":0.7643550634384155},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.708838701248169},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6563741564750671},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6280810832977295},{"id":"https://openalex.org/keywords/speech-processing","display_name":"Speech processing","score":0.508389413356781},{"id":"https://openalex.org/keywords/linear-predictive-coding","display_name":"Linear predictive coding","score":0.4421636462211609},{"id":"https://openalex.org/keywords/speech-coding","display_name":"Speech coding","score":0.4331977963447571},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.42604875564575195},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37124261260032654},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.22063946723937988},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.18558427691459656}],"concepts":[{"id":"https://openalex.org/C102894143","wikidata":"https://www.wikidata.org/wiki/Q1323979","display_name":"Monaural","level":2,"score":0.8574738502502441},{"id":"https://openalex.org/C2778724510","wikidata":"https://www.wikidata.org/wiki/Q7670405","display_name":"TIMIT","level":3,"score":0.7643550634384155},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.708838701248169},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6563741564750671},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6280810832977295},{"id":"https://openalex.org/C61328038","wikidata":"https://www.wikidata.org/wiki/Q3358061","display_name":"Speech processing","level":2,"score":0.508389413356781},{"id":"https://openalex.org/C59883199","wikidata":"https://www.wikidata.org/wiki/Q1826438","display_name":"Linear predictive coding","level":3,"score":0.4421636462211609},{"id":"https://openalex.org/C13895895","wikidata":"https://www.wikidata.org/wiki/Q3270773","display_name":"Speech coding","level":2,"score":0.4331977963447571},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.42604875564575195},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37124261260032654},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.22063946723937988},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.18558427691459656}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tsp.2017.8076001","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2017.8076001","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 40th International Conference on Telecommunications and Signal Processing (TSP)","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":28,"referenced_works":["https://openalex.org/W185399533","https://openalex.org/W1519405745","https://openalex.org/W1552314771","https://openalex.org/W1902027874","https://openalex.org/W1988854580","https://openalex.org/W2013608223","https://openalex.org/W2036245667","https://openalex.org/W2110096996","https://openalex.org/W2118718620","https://openalex.org/W2124539664","https://openalex.org/W2127851351","https://openalex.org/W2141998673","https://openalex.org/W2146047955","https://openalex.org/W2165685007","https://openalex.org/W2170590337","https://openalex.org/W2183821610","https://openalex.org/W2320438893","https://openalex.org/W2338355707","https://openalex.org/W2482276862","https://openalex.org/W3127686677","https://openalex.org/W3159068915","https://openalex.org/W6607486085","https://openalex.org/W6647627160","https://openalex.org/W6677759377","https://openalex.org/W6681521150","https://openalex.org/W6703992992","https://openalex.org/W6721880745","https://openalex.org/W6789826613"],"related_works":["https://openalex.org/W2069501481","https://openalex.org/W1979693044","https://openalex.org/W1999835922","https://openalex.org/W2155010696","https://openalex.org/W2063862874","https://openalex.org/W2154415461","https://openalex.org/W1541372708","https://openalex.org/W1967664370","https://openalex.org/W1923241916","https://openalex.org/W2156390878"],"abstract_inverted_index":{"Factor":[0],"of":[1,25,83,88,117],"sparsity":[2,26,42,84,108],"in":[3,11,20,85,115],"a":[4,18],"speech":[5,13,39],"signal":[6,32,50,94],"plays":[7],"an":[8],"important":[9],"role":[10],"the":[12,30,37,86,102],"processing.":[14],"This":[15],"paper":[16],"proposed":[17],"method":[19],"which":[21],"variable":[22,80],"regularization":[23,43,81],"factor":[24,44,82,109],"is":[27],"applied":[28],"for":[29,45,61,77],"mixed":[31,93],"and":[33,48,67,79,91,110,120],"used":[34],"to":[35],"separate":[36],"monaural":[38],"signals.":[40],"The":[41],"individual":[46],"training":[47],"testing":[49],"was":[51],"find":[52],"using":[53,64,70],"particle":[54],"swarm":[55],"optimization.":[56],"Algorithm":[57],"has":[58,98,111],"been":[59,99],"tested":[60],"speech-speech":[62,90],"separation":[63,69],"TIMIT":[65],"database":[66],"music-speech":[68,92],"MIR":[71],"-1K":[72],"database.":[73],"Results":[74],"are":[75],"evaluated":[76],"fixed":[78,107],"cases":[87],"both":[89],"separation.":[95],"Proposed":[96],"model":[97,104],"compared":[100],"with":[101],"existing":[103],"based":[105],"on":[106],"shown":[112],"superior":[113],"performance":[114],"terms":[116],"SDR,":[118],"SIR":[119],"other":[121],"objective":[122],"measures.":[123]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}