{"id":"https://openalex.org/W2181025895","doi":"https://doi.org/10.1134/s1063771015050103","title":"Discrimination of environmental background noise in presence of speech using sample-pairs statistics based features","display_name":"Discrimination of environmental background noise in presence of speech using sample-pairs statistics based features","publication_year":2015,"publication_date":"2015-09-01","ids":{"openalex":"https://openalex.org/W2181025895","doi":"https://doi.org/10.1134/s1063771015050103","mag":"2181025895"},"language":"en","primary_location":{"id":"doi:10.1134/s1063771015050103","doi":"https://doi.org/10.1134/s1063771015050103","is_oa":false,"landing_page_url":"https://doi.org/10.1134/s1063771015050103","pdf_url":null,"source":{"id":"https://openalex.org/S207226196","display_name":"Acoustical Physics","issn_l":"1063-7710","issn":["1063-7710","1562-6865"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["dongbi-d","jufo-1","norway-1","poland-40","russia-white-list-2"],"host_organization":"https://openalex.org/P4310320267","host_organization_name":"Pleiades Publishing","host_organization_lineage":["https://openalex.org/P4310320267","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Pleiades Publishing","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Acoustical Physics","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"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/A5022506618","display_name":"Deepak Jhanwar","orcid":"https://orcid.org/0000-0003-1627-2871","observed_orcids":["https://orcid.org/0000-0003-1627-2871"]},"institutions":[{"id":"https://openalex.org/I4405279953","display_name":"Engineering College, Ajmer","ror":"https://ror.org/027kkz582","country_code":"IN","type":"education","lineage":["https://openalex.org/I4405279953"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"D. Jhanwar","raw_affiliation_strings":["Govt Engineering College Ajmer, Badliya Chauraha, Ajmer, 305001, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Govt Engineering College Ajmer, Badliya Chauraha, Ajmer, 305001, India","institution_ids":["https://openalex.org/I4405279953"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113253842","display_name":"Kamlesh Kumar Sharma","orcid":"https://orcid.org/0009-0001-4008-3416","observed_orcids":["https://orcid.org/0009-0001-4008-3416","https://orcid.org/0009-0007-7297-6669"]},"institutions":[{"id":"https://openalex.org/I83205935","display_name":"Malaviya National Institute of Technology Jaipur","ror":"https://ror.org/0077k1j32","country_code":"IN","type":"education","lineage":["https://openalex.org/I83205935"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Kamlesh K. Sharma","raw_affiliation_strings":["Malaviya National Institute of Technology, J.L.N. Marg, Jaipur, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Malaviya National Institute of Technology, J.L.N. Marg, Jaipur, India","institution_ids":["https://openalex.org/I83205935"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029046672","display_name":"Shri Gopal Modani","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I83205935","display_name":"Malaviya National Institute of Technology Jaipur","ror":"https://ror.org/0077k1j32","country_code":"IN","type":"education","lineage":["https://openalex.org/I83205935"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"S. G. Modani","raw_affiliation_strings":["Malaviya National Institute of Technology, J.L.N. Marg, Jaipur, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Malaviya National Institute of Technology, J.L.N. Marg, Jaipur, India","institution_ids":["https://openalex.org/I83205935"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5022506618"],"corresponding_institution_ids":["https://openalex.org/I4405279953"],"apc_list":null,"apc_paid":null,"fwci":0.2439,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.55516406,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":93},"biblio":{"volume":"61","issue":"5","first_page":"585","last_page":"596"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.6610999703407288,"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":0.6610999703407288,"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/T11309","display_name":"Music and Audio Processing","score":0.1923000067472458,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.1356000006198883,"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/speech-perception-in-noise","display_name":"speech perception in noise","score":0.7210000157356262},{"id":"https://openalex.org/keywords/speech-enhancement","display_name":"speech enhancement","score":0.4099999964237213},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"feature extraction","score":0.5099999904632568},{"id":"https://openalex.org/keywords/mfcc-comparison","display_name":"MFCC comparison","score":0.6240000128746033},{"id":"https://openalex.org/keywords/spectral-properties","display_name":"spectral properties","score":0.6320000290870667},{"id":"https://openalex.org/keywords/support-vector-machine-classification","display_name":"support vector machine classification","score":0.5799999833106995}],"concepts":[{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6553108096122742},{"id":"https://openalex.org/C151989614","wikidata":"https://www.wikidata.org/wiki/Q440370","display_name":"Mel-frequency cepstrum","level":3,"score":0.6380744576454163},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6031680703163147},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6021435856819153},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5326889157295227},{"id":"https://openalex.org/C146599234","wikidata":"https://www.wikidata.org/wiki/Q511093","display_name":"Centroid","level":2,"score":0.5188308954238892},{"id":"https://openalex.org/C100675267","wikidata":"https://www.wikidata.org/wiki/Q1371624","display_name":"Background noise","level":2,"score":0.501366138458252},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.4633399248123169},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4555370807647705},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.42886048555374146},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4086044430732727},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.248379647731781},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.18647989630699158},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1134/s1063771015050103","doi":"https://doi.org/10.1134/s1063771015050103","is_oa":false,"landing_page_url":"https://doi.org/10.1134/s1063771015050103","pdf_url":null,"source":{"id":"https://openalex.org/S207226196","display_name":"Acoustical Physics","issn_l":"1063-7710","issn":["1063-7710","1562-6865"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["dongbi-d","jufo-1","norway-1","poland-40","russia-white-list-2"],"host_organization":"https://openalex.org/P4310320267","host_organization_name":"Pleiades Publishing","host_organization_lineage":["https://openalex.org/P4310320267","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Pleiades Publishing","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Acoustical Physics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1503196035","https://openalex.org/W1967769980","https://openalex.org/W1982893386","https://openalex.org/W2048174296","https://openalex.org/W2049586080","https://openalex.org/W2099799663","https://openalex.org/W2104680684","https://openalex.org/W2123797607","https://openalex.org/W2126109423","https://openalex.org/W2137343183","https://openalex.org/W2144345993","https://openalex.org/W2156909104","https://openalex.org/W2159225785"],"related_works":["https://openalex.org/W2038456097","https://openalex.org/W1997810056","https://openalex.org/W2801224358","https://openalex.org/W2128838222","https://openalex.org/W2071054014","https://openalex.org/W2356646280","https://openalex.org/W1509818672","https://openalex.org/W4233736617","https://openalex.org/W2141106333","https://openalex.org/W2372676219"],"abstract_inverted_index":{"A":[0],"methodology":[1],"to":[2,77],"discriminate":[3,80],"the":[4,17,29,81,90,95],"different":[5,26,82],"classes":[6],"of":[7,16,25,28,39,48,54,56,59,65,68,92,97,124,142],"background":[8],"noise":[9,84],"using":[10],"new":[11],"features":[12,99,106,139],"based":[13,138],"on":[14],"samples":[15,24],"signal":[18],"is":[19,167],"presented":[20],"here.":[21],"Two":[22],"consecutive":[23],"amplitude":[27],"discretetime":[30],"signals":[31],"are":[32,41,75,153],"termed":[33],"as":[34,44,61,63,158,169],"sample-pair":[35],"and":[36,71,79,117,127,146],"14":[37],"types":[38],"sample-pairs":[40,60,74,137],"considered":[42],"here":[43],"fundamental":[45],"features.":[46],"Results":[47],"simulation":[49,93],"work":[50],"proves":[51],"that":[52],"count":[53,64],"some":[55],"such":[57,73],"type":[58],"well":[62],"few":[66],"combinations":[67],"two,":[69],"three":[70],"four":[72],"useful":[76],"detect":[78],"acoustic":[83],"mixed":[85,133],"with":[86,134],"speech":[87,131],"signals.":[88],"On":[89],"basis":[91],"results,":[94],"performance":[96,159],"proposed":[98],"have":[100],"proved":[101],"better":[102],"than":[103],"other":[104],"spectral":[105],"like":[107],"Mel":[108],"Frequency":[109],"Cepstral":[110],"Coefficients":[111],"(MFCC),":[112],"Spectral":[113,115,118],"Centroid,":[114],"Flux":[116],"Roll-off":[119],"regarding":[120],"discrimination":[121,151],"capabilities,":[122],"simplicity":[123],"extraction":[125],"process":[126],"lesser":[128],"dependency":[129],"over":[130],"utterances":[132],"noise.":[135],"These":[136],"having":[140],"advantage":[141],"not":[143],"requiring":[144],"frame-decomposition":[145],"silence":[147],"period":[148],"removal.":[149],"Their":[150],"capabilities":[152],"shown":[154],"by":[155],"Fisher\u2019s":[156],"F-ratio":[157],"index.":[160],"The":[161],"multiclass":[162],"Support":[163],"Vector":[164],"Machine":[165],"(SVM)":[166],"used":[168],"a":[170],"classifier.":[171]},"counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2026-09-24T07:57:37.273135","created_date":"2016-06-24T00:00:00"}
