{"id":"https://openalex.org/W4385407928","doi":"https://doi.org/10.1007/s11042-023-16200-4","title":"A comprehensive experimental study for analyzing the effects of data augmentation techniques on voice classification","display_name":"A comprehensive experimental study for analyzing the effects of data augmentation techniques on voice classification","publication_year":2023,"publication_date":"2023-08-01","ids":{"openalex":"https://openalex.org/W4385407928","doi":"https://doi.org/10.1007/s11042-023-16200-4"},"language":"en","primary_location":{"id":"doi:10.1007/s11042-023-16200-4","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11042-023-16200-4","pdf_url":null,"source":{"id":"https://openalex.org/S110206669","display_name":"Multimedia Tools and Applications","issn_l":"1380-7501","issn":["1380-7501","1573-7721"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Multimedia Tools and Applications","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1007/s11042-023-16200-4","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5016480846","display_name":"Halit Bak\u0131r","orcid":"https://orcid.org/0000-0003-3327-2822"},"institutions":[{"id":"https://openalex.org/I4210107944","display_name":"Sivas State Hospital","ror":"https://ror.org/01myv5196","country_code":"TR","type":"healthcare","lineage":["https://openalex.org/I4210107944"]},{"id":"https://openalex.org/I4387154028","display_name":"Sivas Bilim ve Teknoloji \u00dcniversitesi","ror":"https://ror.org/05s32j989","country_code":"TR","type":"education","lineage":["https://openalex.org/I4387154028"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"Halit Bak\u0131r","raw_affiliation_strings":["Department of Computer Engineering, Sivas University of Science and Technology, Sivas, Turkey"],"raw_orcid":"https://orcid.org/0000-0003-3327-2822","affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Sivas University of Science and Technology, Sivas, Turkey","institution_ids":["https://openalex.org/I4210107944","https://openalex.org/I4387154028"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010302787","display_name":"Ay\u015fe Nur \u00c7ay\u0131r","orcid":null},"institutions":[{"id":"https://openalex.org/I4387154028","display_name":"Sivas Bilim ve Teknoloji \u00dcniversitesi","ror":"https://ror.org/05s32j989","country_code":"TR","type":"education","lineage":["https://openalex.org/I4387154028"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Ay\u015fe Nur \u00c7ay\u0131r","raw_affiliation_strings":["Department of Defense Technologies, Sivas University of Science and Technology, Sivas, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Defense Technologies, Sivas University of Science and Technology, Sivas, Turkey","institution_ids":["https://openalex.org/I4387154028"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012411231","display_name":"Tu\u011fba Selcen Navruz","orcid":"https://orcid.org/0000-0001-8632-9920"},"institutions":[{"id":"https://openalex.org/I95634034","display_name":"Gazi University","ror":"https://ror.org/054xkpr46","country_code":"TR","type":"education","lineage":["https://openalex.org/I95634034"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Tu\u011fba Selcen Navruz","raw_affiliation_strings":["Department of Electrical and Electronics Engineering, Gazi University, Ankara, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronics Engineering, Gazi University, Ankara, Turkey","institution_ids":["https://openalex.org/I95634034"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5016480846"],"corresponding_institution_ids":["https://openalex.org/I4210107944","https://openalex.org/I4387154028"],"apc_list":{"value":2890,"currency":"USD","value_usd":2890},"apc_paid":{"value":2890,"currency":"USD","value_usd":2890},"fwci":4.4103,"has_fulltext":false,"cited_by_count":33,"citation_normalized_percentile":{"value":0.95755936,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"83","issue":"6","first_page":"17601","last_page":"17628"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9995999932289124,"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/T11309","display_name":"Music and Audio Processing","score":0.9995999932289124,"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/T10860","display_name":"Speech and Audio Processing","score":0.9991999864578247,"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":0.996999979019165,"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/computer-science","display_name":"Computer science","score":0.8950231075286865},{"id":"https://openalex.org/keywords/hyperparameter","display_name":"Hyperparameter","score":0.6492255330085754},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6451513767242432},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.5298804044723511},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5027551651000977},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.47821590304374695},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4765913188457489},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47021010518074036},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4642089009284973},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3312912583351135}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8950231075286865},{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.6492255330085754},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6451513767242432},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.5298804044723511},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5027551651000977},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.47821590304374695},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4765913188457489},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47021010518074036},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4642089009284973},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3312912583351135},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s11042-023-16200-4","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11042-023-16200-4","pdf_url":null,"source":{"id":"https://openalex.org/S110206669","display_name":"Multimedia Tools and Applications","issn_l":"1380-7501","issn":["1380-7501","1573-7721"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Multimedia Tools and Applications","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s11042-023-16200-4","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11042-023-16200-4","pdf_url":null,"source":{"id":"https://openalex.org/S110206669","display_name":"Multimedia Tools and Applications","issn_l":"1380-7501","issn":["1380-7501","1573-7721"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Multimedia Tools and Applications","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W2751841560","https://openalex.org/W2791062765","https://openalex.org/W2804792817","https://openalex.org/W2904132449","https://openalex.org/W2912581782","https://openalex.org/W2914312680","https://openalex.org/W2973284423","https://openalex.org/W3011702533","https://openalex.org/W3022863654","https://openalex.org/W3027101363","https://openalex.org/W3204369928","https://openalex.org/W4205588556","https://openalex.org/W4206284997","https://openalex.org/W4206517883","https://openalex.org/W4206801712","https://openalex.org/W4229847499","https://openalex.org/W4231963875","https://openalex.org/W4240792881","https://openalex.org/W4245813244","https://openalex.org/W4250879497","https://openalex.org/W4251173168","https://openalex.org/W4280649558","https://openalex.org/W4313856064","https://openalex.org/W4320008058"],"related_works":["https://openalex.org/W2140186469","https://openalex.org/W4390421286","https://openalex.org/W4280563792","https://openalex.org/W4389724018","https://openalex.org/W4318719684","https://openalex.org/W4318559728","https://openalex.org/W3183136280","https://openalex.org/W2775233965","https://openalex.org/W3114716045","https://openalex.org/W4360995913"],"abstract_inverted_index":{"It":[0],"is":[1,416],"not":[2,289,355],"always":[3],"possible":[4],"to":[5,40,130,227,239,275,368,418,423,434,441],"find":[6],"enough":[7],"data":[8,15,46],"for":[9,81,97,149,163,198,292],"deep":[10,26,78,448],"learning":[11,27,79,449],"studies.":[12],"So,":[13,280],"various":[14],"augmentation":[16,47,122,125,158,196,237,242,286,421,432],"techniques":[17,48,126,159,197,238,287,422,433],"have":[18,127,144,160,249,333],"been":[19,38,95,128,145,161,177,250,334,344],"developed":[20],"and":[21,75,101,123,140,147,187,219,229,245,271,277,295,323,352,358],"thus":[22],"the":[23,42,53,67,83,99,103,132,137,151,169,173,184,203,208,216,222,240,260,268,284,305,314,317,340,349,362,370,376,388,424,435,443],"success":[24],"of":[25,44,51,134,221,328,399,429,445],"models":[28],"has":[29,37,94,176,343],"increased.":[30],"In":[31],"this":[32,59,110,211,253,300,321,337,405],"work,":[33],"a":[34,384],"comprehensive":[35],"study":[36],"conducted":[39],"evaluate":[41],"efficiency":[43],"different":[45,142,156,166,247,325,385],"in":[49,136,320,361,366,439],"terms":[50],"improving":[52],"voice":[54,121,157,181,241,293,310,420,446],"classification":[55,269,296,350,400,447],"models\u2019":[56],"performance.":[57],"To":[58,298],"end,":[60],"we":[61,192,213,233,281,302,373],"proposed":[62,152,174,223,261,341,377,393],"extracting":[63],"MFCC":[64],"features":[65],"from":[66,168,202,383],"audio":[68,426],"files,":[69],"converting":[70],"them":[71],"into":[72,87],"RGB":[73,85],"images,":[74],"using":[76,179,194,210,252,263,336,346,379,404],"CNN":[77,105],"model":[80,106,175,209,224,262,342],"classifying":[82],"constructed":[84,146,251,335],"images":[86],"12":[88],"classes.":[89],"Moreover,":[90],"Random":[91],"search":[92],"algorithm":[93],"adopted":[96],"tuning":[98],"hyperparameters":[100],"selecting":[102],"best":[104,318,363],"that":[107,215,267,283,414],"can":[108],"achieve":[109],"task":[111],"with":[112,309],"as":[113,116],"high":[114],"performance":[115,444],"possible.":[117],"After":[118],"that,":[119],"some":[120],"image":[124,195,236,285,306,431],"used":[129,148,162],"increase":[131],"number":[133],"samples":[135],"original":[138,170,204],"dataset,":[139],"17":[141],"datasets":[143,167,183,248,265,312,348],"training":[150,207,259],"model.":[153],"Particularly,":[154],"5":[155,165,246,324],"constructing":[164,199],"dataset.":[171,205,391,409],"When":[172,339],"trained":[178,345],"these":[180,264,347],"augmentation-based":[182,307,311],"validation":[185,217],"accuracy":[186,218,270,351,401],"F1-score":[188,220,272,353],"exceed":[189,356],"95%.":[190],"Then,":[191],"suggested":[193,234,303,374],"another":[200],"dataset":[201,212,308,315,382,406],"By":[206],"noted":[214],"dropped":[225,273],"down":[226,274],"81,92":[228],"81.67":[230],"respectively.":[231,279],"Afterward,":[232],"applying":[235,430],"techniques-based":[243],"datasets,":[244,326],"method.":[254,338],"The":[255,392,410],"results":[256,319,372,412],"obtained":[257,371,411],"by":[258],"showed":[266,413],"77.25":[276],"77.08":[278],"concluded":[282],"are":[288],"so":[290],"suitable":[291],"recognition":[294],"tasks.":[297],"prof":[299],"hypothesis,":[301],"merging":[304],"(i.e.":[313],"gave":[316,395],"study),":[322],"each":[327],"which":[329],"contains":[330],"18,000":[331],"samples,":[332],"did":[354],"84.33%":[357],"84.41%":[359],"respectively":[360],"case.":[364],"Furthermore,":[365],"order":[367,440],"prove":[369],"testing":[375],"method":[378],"one":[380],"more":[381,396],"language":[386,390],"namely":[387],"Turkish":[389,408],"approach":[394],"than":[397],"96%":[398],"when":[402],"tested":[403],"i.e.":[407],"it":[415],"preferred":[417],"apply":[419],"raw":[425],"files":[427],"instead":[428],"extracted":[436],"feature":[437],"matrixes":[438],"improve":[442],"models.":[450]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":14},{"year":2023,"cited_by_count":7}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}