{"id":"https://openalex.org/W4416132513","doi":"https://doi.org/10.1145/3736425.3771962","title":"Dataset: A Novel Aliasing vs Non Aliasing Audio Dataset for Always-On IoT Microphone Experimentation","display_name":"Dataset: A Novel Aliasing vs Non Aliasing Audio Dataset for Always-On IoT Microphone Experimentation","publication_year":2025,"publication_date":"2025-11-11","ids":{"openalex":"https://openalex.org/W4416132513","doi":"https://doi.org/10.1145/3736425.3771962"},"language":null,"primary_location":{"id":"doi:10.1145/3736425.3771962","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3736425.3771962","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 12th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3736425.3771962","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5093411897","display_name":"Jack Adiletta","orcid":"https://orcid.org/0009-0007-4666-1444"},"institutions":[{"id":"https://openalex.org/I107077323","display_name":"Worcester Polytechnic Institute","ror":"https://ror.org/05ejpqr48","country_code":"US","type":"education","lineage":["https://openalex.org/I107077323"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jack Adiletta","raw_affiliation_strings":["Worcester Polytechnic Institute, Worcester, Massachusetts, USA"],"raw_orcid":"https://orcid.org/0009-0007-4666-1444","affiliations":[{"raw_affiliation_string":"Worcester Polytechnic Institute, Worcester, Massachusetts, USA","institution_ids":["https://openalex.org/I107077323"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101384237","display_name":"Mohammad Nur Hossain Khan","orcid":"https://orcid.org/0000-0002-8312-7001"},"institutions":[{"id":"https://openalex.org/I107077323","display_name":"Worcester Polytechnic Institute","ror":"https://ror.org/05ejpqr48","country_code":"US","type":"education","lineage":["https://openalex.org/I107077323"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Khan Mohammad Nur Hossain","raw_affiliation_strings":["Worcester Polytechnic Institute, Worcester, Massachusetts, USA"],"raw_orcid":"https://orcid.org/0000-0002-8312-7001","affiliations":[{"raw_affiliation_string":"Worcester Polytechnic Institute, Worcester, Massachusetts, USA","institution_ids":["https://openalex.org/I107077323"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102329945","display_name":"Mark E. Reynolds","orcid":"https://orcid.org/0009-0000-3939-8624"},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Matthew Reynolds","raw_affiliation_strings":["Columbia University, New York City, New York, USA"],"raw_orcid":"https://orcid.org/0009-0000-3939-8624","affiliations":[{"raw_affiliation_string":"Columbia University, New York City, New York, USA","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014286716","display_name":"Shiwei Fang","orcid":"https://orcid.org/0000-0003-0134-5003"},"institutions":[{"id":"https://openalex.org/I25041050","display_name":"Augusta University","ror":"https://ror.org/012mef835","country_code":"US","type":"education","lineage":["https://openalex.org/I25041050"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shiwei Fang","raw_affiliation_strings":["Augusta University, Augusta, Georgia, USA"],"raw_orcid":"https://orcid.org/0000-0003-0134-5003","affiliations":[{"raw_affiliation_string":"Augusta University, Augusta, Georgia, USA","institution_ids":["https://openalex.org/I25041050"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035909313","display_name":"Bashima Islam","orcid":"https://orcid.org/0000-0002-1917-054X"},"institutions":[{"id":"https://openalex.org/I107077323","display_name":"Worcester Polytechnic Institute","ror":"https://ror.org/05ejpqr48","country_code":"US","type":"education","lineage":["https://openalex.org/I107077323"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bashima Islam","raw_affiliation_strings":["Worcester Polytechnic Institute, Worcester, Massachusetts, USA"],"raw_orcid":"https://orcid.org/0000-0002-1917-054X","affiliations":[{"raw_affiliation_string":"Worcester Polytechnic Institute, Worcester, Massachusetts, USA","institution_ids":["https://openalex.org/I107077323"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.36619007,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"423","last_page":"426"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.5425999760627747,"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":0.5425999760627747,"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":0.1680999994277954,"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/T12357","display_name":"Digital Media Forensic Detection","score":0.04989999905228615,"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/aliasing","display_name":"Aliasing","score":0.8482000231742859},{"id":"https://openalex.org/keywords/microphone","display_name":"Microphone","score":0.7117999792098999},{"id":"https://openalex.org/keywords/nyquist-rate","display_name":"Nyquist rate","score":0.7016000151634216},{"id":"https://openalex.org/keywords/anti-aliasing-filter","display_name":"Anti-aliasing filter","score":0.5446000099182129},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.54339998960495},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.5273000001907349},{"id":"https://openalex.org/keywords/nyquist-frequency","display_name":"Nyquist frequency","score":0.48500001430511475}],"concepts":[{"id":"https://openalex.org/C4069607","wikidata":"https://www.wikidata.org/wiki/Q868732","display_name":"Aliasing","level":3,"score":0.8482000231742859},{"id":"https://openalex.org/C2778263558","wikidata":"https://www.wikidata.org/wiki/Q46384","display_name":"Microphone","level":3,"score":0.7117999792098999},{"id":"https://openalex.org/C65914096","wikidata":"https://www.wikidata.org/wiki/Q6273772","display_name":"Nyquist rate","level":4,"score":0.7016000151634216},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6847000122070312},{"id":"https://openalex.org/C146826852","wikidata":"https://www.wikidata.org/wiki/Q604241","display_name":"Anti-aliasing filter","level":5,"score":0.5446000099182129},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.54339998960495},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.527899980545044},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.5273000001907349},{"id":"https://openalex.org/C98273374","wikidata":"https://www.wikidata.org/wiki/Q1501757","display_name":"Nyquist frequency","level":3,"score":0.48500001430511475},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.48260000348091125},{"id":"https://openalex.org/C288623","wikidata":"https://www.wikidata.org/wiki/Q679800","display_name":"Nyquist\u2013Shannon sampling theorem","level":2,"score":0.4657999873161316},{"id":"https://openalex.org/C534633266","wikidata":"https://www.wikidata.org/wiki/Q4774317","display_name":"Anti-aliasing","level":5,"score":0.4603999853134155},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.39070001244544983},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.385699987411499},{"id":"https://openalex.org/C128422554","wikidata":"https://www.wikidata.org/wiki/Q20077126","display_name":"Sound recording and reproduction","level":2,"score":0.3262999951839447},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.28690001368522644},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.28139999508857727},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.25679999589920044},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.25049999356269836}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3736425.3771962","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3736425.3771962","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 12th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3736425.3771962","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3736425.3771962","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 12th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":1,"referenced_works":["https://openalex.org/W2475100461"],"related_works":[],"abstract_inverted_index":{"We":[0],"present":[1,47],"the":[2,25,32,44,49,53,57,61,67,74,98,118,136,142],"first":[3,137],"ever":[4],"dataset":[5,94,134,138,153],"of":[6,28,86,100,144],"deliberately":[7],"aliasing":[8,87,131,145,165],"audio.":[9,50],"Aliasing,":[10],"an":[11],"acoustic":[12],"phenomenon":[13],"which":[14,112],"adds":[15],"noise":[16],"and":[17,120,132],"other":[18],"abnormalities":[19],"to":[20,116,123,140,158,161],"a":[21],"recording,":[22],"occurs":[23],"when":[24],"sample":[26,69,91,110,117,127],"rate":[27,39,55,70],"audio":[29,80,88,119,150,163],"is":[30,40,95,135],"below":[31,52],"Nyquist":[33,37,54],"sampling":[34,38],"rate.":[35],"The":[36,152],"defined":[41],"as":[42,164],"2x":[43],"highest":[45],"frequency":[46],"in":[48,97],"Sampling":[51],"folds":[56],"upper":[58],"frequencies":[59,63],"into":[60],"lower":[62,68,109],"causing":[64],"distortion":[65],"because":[66,102],"cannot":[71],"accurately":[72],"capture":[73],"high":[75],"frequencies.":[76],"Using":[77],"three":[78],"standard":[79],"datasets,":[81],"we":[82],"curated":[83],"several":[84],"sub-datasets":[85],"at":[89],"different":[90],"rates.":[92],"This":[93],"necessary":[96],"age":[99],"IoT":[101],"always-on":[103],"microphone":[104],"devices":[105],"will":[106,129],"benefit":[107],"from":[108],"rates":[111,128],"require":[113],"less":[114,121],"power":[115],"bandwidth":[122],"transmit":[124],"recordings.":[125],"Lower":[126],"cause":[130],"our":[133],"pre-made":[139],"test":[141],"effects":[143],"on":[146],"downstream":[147],"tasks":[148],"like":[149],"classification.":[151],"can":[154],"also":[155],"be":[156],"used":[157],"build":[159],"algorithms":[160],"classify":[162],"or":[166],"not.":[167]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-11-11T00:00:00"}