{"id":"https://openalex.org/W4388937793","doi":"https://doi.org/10.1109/icccnt56998.2023.10307564","title":"Environmental Acoustic Noise Extraction and Classification using Deep Learning","display_name":"Environmental Acoustic Noise Extraction and Classification using Deep Learning","publication_year":2023,"publication_date":"2023-07-06","ids":{"openalex":"https://openalex.org/W4388937793","doi":"https://doi.org/10.1109/icccnt56998.2023.10307564"},"language":"en","primary_location":{"id":"doi:10.1109/icccnt56998.2023.10307564","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icccnt56998.2023.10307564","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT)","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/A5074681713","display_name":"Yash Pratap Singh","orcid":"https://orcid.org/0000-0002-8759-3800"},"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 Pratap Singh","raw_affiliation_strings":["Aligarh Muslim University,ZHCET,Dept. of Electronics Engineering,Aligarh,India","Dept. of Electronics Engineering, ZHCET, Aligarh Muslim University, Aligarh, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aligarh Muslim University,ZHCET,Dept. of Electronics Engineering,Aligarh,India","institution_ids":["https://openalex.org/I171210897"]},{"raw_affiliation_string":"Dept. of Electronics Engineering, ZHCET, Aligarh Muslim University, Aligarh, India","institution_ids":["https://openalex.org/I171210897"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007569579","display_name":"Devansh Chaudhary","orcid":"https://orcid.org/0009-0001-9576-0322"},"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":"Devansh Chaudhary","raw_affiliation_strings":["Aligarh Muslim University,ZHCET,Dept. of Electronics Engineering,Aligarh,India","Dept. of Electronics Engineering, ZHCET, Aligarh Muslim University, Aligarh, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aligarh Muslim University,ZHCET,Dept. of Electronics Engineering,Aligarh,India","institution_ids":["https://openalex.org/I171210897"]},{"raw_affiliation_string":"Dept. of Electronics Engineering, ZHCET, Aligarh Muslim University, Aligarh, India","institution_ids":["https://openalex.org/I171210897"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101797785","display_name":"Aham Gupta","orcid":"https://orcid.org/0009-0009-9274-8078"},"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":"Aham Gupta","raw_affiliation_strings":["Aligarh Muslim University,ZHCET,Dept. of Electronics Engineering,Aligarh,India","Dept. of Electronics Engineering, ZHCET, Aligarh Muslim University, Aligarh, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aligarh Muslim University,ZHCET,Dept. of Electronics Engineering,Aligarh,India","institution_ids":["https://openalex.org/I171210897"]},{"raw_affiliation_string":"Dept. of Electronics Engineering, ZHCET, Aligarh Muslim University, Aligarh, India","institution_ids":["https://openalex.org/I171210897"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006377705","display_name":"Mohd Wajid","orcid":"https://orcid.org/0000-0002-6932-6354"},"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":"Mohd Wajid","raw_affiliation_strings":["Aligarh Muslim University,ZHCET,Dept. of Electronics Engineering,Aligarh,India","Dept. of Electronics Engineering, ZHCET, Aligarh Muslim University, Aligarh, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aligarh Muslim University,ZHCET,Dept. of Electronics Engineering,Aligarh,India","institution_ids":["https://openalex.org/I171210897"]},{"raw_affiliation_string":"Dept. of Electronics Engineering, ZHCET, Aligarh Muslim University, Aligarh, India","institution_ids":["https://openalex.org/I171210897"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056900010","display_name":"Mohammed Usman","orcid":"https://orcid.org/0000-0002-3352-472X"},"institutions":[{"id":"https://openalex.org/I82952536","display_name":"King Khalid University","ror":"https://ror.org/052kwzs30","country_code":"SA","type":"education","lineage":["https://openalex.org/I82952536"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Mohammed Usman","raw_affiliation_strings":["King Khalid University,Dept. of Electrical Engineering,Abha,Saudi Arabia,61411"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"King Khalid University,Dept. of Electrical Engineering,Abha,Saudi Arabia,61411","institution_ids":["https://openalex.org/I82952536"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2417,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.47551546,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11309","display_name":"Music 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/T11309","display_name":"Music 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/T10860","display_name":"Speech and Audio Processing","score":0.9983999729156494,"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/T11665","display_name":"Animal Vocal Communication and Behavior","score":0.9943000078201294,"subfield":{"id":"https://openalex.org/subfields/1309","display_name":"Developmental Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/mel-frequency-cepstrum","display_name":"Mel-frequency cepstrum","score":0.8513165712356567},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.776646614074707},{"id":"https://openalex.org/keywords/environmental-noise","display_name":"Environmental noise","score":0.7459109425544739},{"id":"https://openalex.org/keywords/fast-fourier-transform","display_name":"Fast Fourier transform","score":0.6711856126785278},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6358065009117126},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6219183802604675},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6160752177238464},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6056826710700989},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5321086645126343},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5300193428993225},{"id":"https://openalex.org/keywords/noise-measurement","display_name":"Noise measurement","score":0.5126670598983765},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.3045029938220978},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.23891815543174744},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.08518114686012268}],"concepts":[{"id":"https://openalex.org/C151989614","wikidata":"https://www.wikidata.org/wiki/Q440370","display_name":"Mel-frequency cepstrum","level":3,"score":0.8513165712356567},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.776646614074707},{"id":"https://openalex.org/C86781634","wikidata":"https://www.wikidata.org/wiki/Q2478325","display_name":"Environmental noise","level":3,"score":0.7459109425544739},{"id":"https://openalex.org/C75172450","wikidata":"https://www.wikidata.org/wiki/Q623950","display_name":"Fast Fourier transform","level":2,"score":0.6711856126785278},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6358065009117126},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6219183802604675},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6160752177238464},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6056826710700989},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5321086645126343},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5300193428993225},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.5126670598983765},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.3045029938220978},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.23891815543174744},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.08518114686012268},{"id":"https://openalex.org/C203718221","wikidata":"https://www.wikidata.org/wiki/Q491713","display_name":"Sound (geography)","level":2,"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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icccnt56998.2023.10307564","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icccnt56998.2023.10307564","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1972567154","https://openalex.org/W2031614119","https://openalex.org/W2038484192","https://openalex.org/W2313745396","https://openalex.org/W2408143719","https://openalex.org/W2509065397","https://openalex.org/W2768083292","https://openalex.org/W2914312680","https://openalex.org/W3043920615","https://openalex.org/W3098357269","https://openalex.org/W4313178214","https://openalex.org/W4396219753"],"related_works":["https://openalex.org/W4287867034","https://openalex.org/W3108403339","https://openalex.org/W2884976619","https://openalex.org/W2162712524","https://openalex.org/W3005783148","https://openalex.org/W2004821155","https://openalex.org/W4367628250","https://openalex.org/W2734439404","https://openalex.org/W4297099804","https://openalex.org/W2748560407"],"abstract_inverted_index":{"Urban":[0],"areas":[1],"face":[2],"persistent":[3],"environmental":[4,30,78],"noise,":[5,57],"adversely":[6],"impacting":[7],"human":[8],"health":[9],"and":[10,20,73,88,152,156],"well-being.":[11],"Automatic":[12],"acoustic":[13,31,48],"noise":[14,32,79,101,124],"classification":[15],"can":[16],"assist":[17],"in":[18,126],"monitoring":[19],"mitigating":[21],"this":[22],"problem.":[23],"This":[24],"paper":[25],"introduces":[26],"a":[27,60,138,146,154],"technique":[28],"for":[29,122],"classification,":[33],"the":[34,52,56,65,70,77,95,99,110,115,150],"proposed":[35],"approach":[36],"involves":[37],"three":[38],"stages":[39],"(i)":[40],"Extraction":[41,75],"of":[42,55,69,76,98,109,141],"Mel-frequency":[43],"Cepstral":[44],"Coefficients":[45],"(MFCCs)":[46],"from":[47,80],"signals,":[49],"which":[50,131],"captures":[51],"spectral":[53],"characteristics":[54],"(ii)":[58],"Employing":[59],"CNN":[61,116],"classifier":[62],"trained":[63],"on":[64,149],"MFCC":[66,96],"feature":[67],"vectors":[68],"UrbanSound8K":[71],"dataset,":[72],"(iii)":[74],"recorded":[81],"audio":[82,127],"using":[83,114],"Fast":[84,90],"Fourier":[85,91],"Transform":[86,92],"(FFT)":[87],"Inverse":[89],"(IFFT).":[93],"Then,":[94],"features":[97],"extracted":[100],"are":[102],"used":[103],"to":[104],"classify":[105],"it":[106],"into":[107],"one":[108],"ten":[111],"predefined":[112],"classes":[113],"model.":[117],"The":[118],"overall":[119],"test":[120],"accuracy":[121],"classifying":[123],"(embedded":[125],"recordings)":[128],"is":[129],"90.44%,":[130],"indicates":[132],"that":[133],"our":[134],"model":[135],"has":[136],"achieved":[137],"commendable":[139],"level":[140],"accuracy.":[142],"Our":[143],"work":[144],"offers":[145],"fresh":[147],"perspective":[148],"problem":[151],"proposes":[153],"simple":[155],"novel":[157],"solution.":[158]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}