{"id":"https://openalex.org/W4321193466","doi":"https://doi.org/10.1109/icce56470.2023.10043378","title":"Coding Mel Spectrogram using Keras and Tensorflow for Home Appliances Tiny Classification","display_name":"Coding Mel Spectrogram using Keras and Tensorflow for Home Appliances Tiny Classification","publication_year":2023,"publication_date":"2023-01-06","ids":{"openalex":"https://openalex.org/W4321193466","doi":"https://doi.org/10.1109/icce56470.2023.10043378"},"language":"en","primary_location":{"id":"doi:10.1109/icce56470.2023.10043378","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icce56470.2023.10043378","pdf_url":null,"source":{"id":"https://openalex.org/S4363607959","display_name":"2023 IEEE International Conference on Consumer Electronics (ICCE)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Consumer Electronics (ICCE)","raw_type":"proceedings-article"},"type":"article","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/A5036123913","display_name":"Danilo Pau","orcid":"https://orcid.org/0000-0003-1585-2313"},"institutions":[{"id":"https://openalex.org/I4210124177","display_name":"STMicroelectronics (Czechia)","ror":"https://ror.org/03c7ss521","country_code":"CZ","type":"company","lineage":["https://openalex.org/I131827901","https://openalex.org/I4210124177"]},{"id":"https://openalex.org/I4210147507","display_name":"STMicroelectronics (Germany)","ror":"https://ror.org/05hh7s019","country_code":"DE","type":"company","lineage":["https://openalex.org/I131827901","https://openalex.org/I4210147507"]}],"countries":["CZ","DE"],"is_corresponding":true,"raw_author_name":"Danilo Pietro Pau","raw_affiliation_strings":["System Research and Applications Agrate Brianza,STMicroelectronics","STMicroelectronics, System Research and Applications Agrate Brianza"],"affiliations":[{"raw_affiliation_string":"System Research and Applications Agrate Brianza,STMicroelectronics","institution_ids":["https://openalex.org/I4210124177"]},{"raw_affiliation_string":"STMicroelectronics, System Research and Applications Agrate Brianza","institution_ids":["https://openalex.org/I4210147507"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003933634","display_name":"Tesfaye Amare Naramo","orcid":null},"institutions":[{"id":"https://openalex.org/I131827901","display_name":"STMicroelectronics (Switzerland)","ror":"https://ror.org/00wm3b005","country_code":"CH","type":"company","lineage":["https://openalex.org/I131827901"]},{"id":"https://openalex.org/I193223587","display_name":"University of Trento","ror":"https://ror.org/05trd4x28","country_code":"IT","type":"education","lineage":["https://openalex.org/I193223587"]},{"id":"https://openalex.org/I4210114704","display_name":"STMicroelectronics (China)","ror":"https://ror.org/0348bpw87","country_code":"CN","type":"company","lineage":["https://openalex.org/I131827901","https://openalex.org/I4210114704"]},{"id":"https://openalex.org/I4210124177","display_name":"STMicroelectronics (Czechia)","ror":"https://ror.org/03c7ss521","country_code":"CZ","type":"company","lineage":["https://openalex.org/I131827901","https://openalex.org/I4210124177"]}],"countries":["CH","CN","CZ","IT"],"is_corresponding":false,"raw_author_name":"Tesfaye Amare Naramo","raw_affiliation_strings":["Universita degli Studi di Trento,STMicroelectronics","STMicroelectronics, Universita degli Studi di Trento"],"affiliations":[{"raw_affiliation_string":"Universita degli Studi di Trento,STMicroelectronics","institution_ids":["https://openalex.org/I4210124177","https://openalex.org/I131827901"]},{"raw_affiliation_string":"STMicroelectronics, Universita degli Studi di Trento","institution_ids":["https://openalex.org/I193223587","https://openalex.org/I4210114704"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072262988","display_name":"Marc Dimbiniaina","orcid":null},"institutions":[{"id":"https://openalex.org/I131827901","display_name":"STMicroelectronics (Switzerland)","ror":"https://ror.org/00wm3b005","country_code":"CH","type":"company","lineage":["https://openalex.org/I131827901"]},{"id":"https://openalex.org/I193223587","display_name":"University of Trento","ror":"https://ror.org/05trd4x28","country_code":"IT","type":"education","lineage":["https://openalex.org/I193223587"]},{"id":"https://openalex.org/I4210124177","display_name":"STMicroelectronics (Czechia)","ror":"https://ror.org/03c7ss521","country_code":"CZ","type":"company","lineage":["https://openalex.org/I131827901","https://openalex.org/I4210124177"]}],"countries":["CH","CZ","IT"],"is_corresponding":false,"raw_author_name":"Marc Dimbiniaina","raw_affiliation_strings":["Universita degli Studi di Trento,Randriatsimiovalaza, STMicroelectronics","Randriatsimiovalaza, STMicroelectronics, Universita degli Studi di Trento"],"affiliations":[{"raw_affiliation_string":"Universita degli Studi di Trento,Randriatsimiovalaza, STMicroelectronics","institution_ids":["https://openalex.org/I131827901"]},{"raw_affiliation_string":"Randriatsimiovalaza, STMicroelectronics, Universita degli Studi di Trento","institution_ids":["https://openalex.org/I4210124177","https://openalex.org/I193223587"]}]}],"institutions":[],"countries_distinct_count":5,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5036123913"],"corresponding_institution_ids":["https://openalex.org/I4210124177","https://openalex.org/I4210147507"],"apc_list":null,"apc_paid":null,"fwci":0.1383,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.46875,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9957000017166138,"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":0.9957000017166138,"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":0.9915000200271606,"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9850000143051147,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/spectrogram","display_name":"Spectrogram","score":0.924435019493103},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.679303765296936},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.6693158745765686},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.6608457565307617},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.623972475528717},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6163187623023987},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5370326042175293},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4662890136241913},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4231411814689636},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3823281526565552},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12160196900367737},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.0847751796245575}],"concepts":[{"id":"https://openalex.org/C45273575","wikidata":"https://www.wikidata.org/wiki/Q578970","display_name":"Spectrogram","level":2,"score":0.924435019493103},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.679303765296936},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.6693158745765686},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.6608457565307617},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.623972475528717},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6163187623023987},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5370326042175293},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4662890136241913},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4231411814689636},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3823281526565552},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12160196900367737},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0847751796245575},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icce56470.2023.10043378","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icce56470.2023.10043378","pdf_url":null,"source":{"id":"https://openalex.org/S4363607959","display_name":"2023 IEEE International Conference on Consumer Electronics (ICCE)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Consumer Electronics (ICCE)","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":10,"referenced_works":["https://openalex.org/W2557152923","https://openalex.org/W2721931776","https://openalex.org/W2928550135","https://openalex.org/W2970006822","https://openalex.org/W2970737019","https://openalex.org/W2972333964","https://openalex.org/W3006472355","https://openalex.org/W4212774754","https://openalex.org/W4286572124","https://openalex.org/W4311214854"],"related_works":["https://openalex.org/W2811390910","https://openalex.org/W2146076056","https://openalex.org/W2144059113","https://openalex.org/W2773120646","https://openalex.org/W2733060750","https://openalex.org/W4317987726","https://openalex.org/W2732542196","https://openalex.org/W3156555204","https://openalex.org/W2774265021","https://openalex.org/W3186111093"],"abstract_inverted_index":{"Mel":[0,33],"power":[1,34],"spectrogram":[2,35],"has":[3,105,151],"been":[4,106,152],"extensively":[5],"used":[6,22],"as":[7,90,97],"audio":[8],"pre-processing":[9],"for":[10,114,166,174,178],"both":[11],"feature":[12],"extraction":[13],"and":[14,43,111,133,158,176],"transformation.":[15],"Between":[16],"many,":[17],"one":[18],"of":[19,92,118,147,156,170,172],"the":[20,32,93,148],"most":[21],"libraries":[23],"is":[24],"Librosa.":[25],"In":[26],"this":[27],"paper,":[28],"we":[29],"prove":[30],"that":[31],"processing":[36],"algorithm":[37],"can":[38,78],"be":[39,79,88,163],"coded":[40],"using":[41],"Keras":[42],"Tensorflow":[44],"software":[45,74],"primitives":[46],"featuring":[47],"several":[48],"statically":[49],"initialized":[50],"or":[51,85],"trainable":[52,89],"hyper-parameters.":[53],"That":[54],"approach":[55,150],"would":[56],"allow":[57],"to":[58,63,139],"achieve":[59],"a":[60],"self-contained":[61],"end":[62,64],"deep":[65],"learning":[66,101],"framework":[67],"dependent":[68],"implementation":[69],"not":[70],"possible":[71],"with":[72,82,137],"other":[73],"libraries.":[75],"Moreover,":[76],"it":[77],"either":[80],"initiable":[81],"pre-computed":[83],"parameters":[84],"let":[86],"them":[87],"part":[91],"same":[94,143],"multitask":[95],"model":[96],"any":[98],"subsequent":[99],"machine":[100],"approach.":[102],"The":[103,121,145],"pipeline":[104],"tested":[107],"on":[108,127,131,135],"COOLL,":[109,128],"WHITED":[110,132],"PLAID":[112,136],"datasets":[113],"electric":[115],"current":[116],"classification":[117],"home":[119],"appliances.":[120],"difference":[122],"in":[123,154],"accuracy":[124],"was":[125],"+3.28%":[126],"+":[129],"1.56%":[130],"\u22120.16%":[134],"respect":[138],"reference":[140],"work":[141],"from":[142],"authors.":[144],"complexity":[146],"proposed":[149],"estimated":[153,168],"term":[155],"multiplied":[157],"accumulated":[159],"operations.":[160],"It":[161],"resulted":[162],"48,821":[164],"MACC/s":[165],"an":[167],"number":[169],"cycles/s":[171],"439,389":[173],"STM32L4":[175],"292,926":[177],"STM32H7.":[179]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-03-25T13:04:00.132906","created_date":"2025-10-10T00:00:00"}
