{"id":"https://openalex.org/W7123626464","doi":"https://doi.org/10.1109/iscc65549.2025.11326439","title":"Design and Deployment of a Standard Framework for Audio Neural Networks Embedding Models","display_name":"Design and Deployment of a Standard Framework for Audio Neural Networks Embedding Models","publication_year":2025,"publication_date":"2025-07-02","ids":{"openalex":"https://openalex.org/W7123626464","doi":"https://doi.org/10.1109/iscc65549.2025.11326439"},"language":null,"primary_location":{"id":"doi:10.1109/iscc65549.2025.11326439","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscc65549.2025.11326439","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE Symposium on Computers and Communications (ISCC)","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/A5122944426","display_name":"Stefano Giacomelli","orcid":null},"institutions":[{"id":"https://openalex.org/I26415053","display_name":"University of L'Aquila","ror":"https://ror.org/01j9p1r26","country_code":"IT","type":"education","lineage":["https://openalex.org/I26415053"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Stefano Giacomelli","raw_affiliation_strings":["University of L&#x2019;Aquila (UnivAQ),Department of Information Engineering, Computer Science and Mathematics (DISIM),L&#x2019;Aquila,Italy"],"affiliations":[{"raw_affiliation_string":"University of L&#x2019;Aquila (UnivAQ),Department of Information Engineering, Computer Science and Mathematics (DISIM),L&#x2019;Aquila,Italy","institution_ids":["https://openalex.org/I26415053"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072104800","display_name":"Carlo Centofanti","orcid":"https://orcid.org/0000-0002-0903-9804"},"institutions":[{"id":"https://openalex.org/I26415053","display_name":"University of L'Aquila","ror":"https://ror.org/01j9p1r26","country_code":"IT","type":"education","lineage":["https://openalex.org/I26415053"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Carlo Centofanti","raw_affiliation_strings":["University of L&#x2019;Aquila (UnivAQ),Department of Information Engineering, Computer Science and Mathematics (DISIM),L&#x2019;Aquila,Italy"],"affiliations":[{"raw_affiliation_string":"University of L&#x2019;Aquila (UnivAQ),Department of Information Engineering, Computer Science and Mathematics (DISIM),L&#x2019;Aquila,Italy","institution_ids":["https://openalex.org/I26415053"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045356859","display_name":"Fabio Graziosi","orcid":"https://orcid.org/0000-0001-7808-0707"},"institutions":[{"id":"https://openalex.org/I26415053","display_name":"University of L'Aquila","ror":"https://ror.org/01j9p1r26","country_code":"IT","type":"education","lineage":["https://openalex.org/I26415053"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Fabio Graziosi","raw_affiliation_strings":["University of L&#x2019;Aquila (UnivAQ),Department of Information Engineering, Computer Science and Mathematics (DISIM),L&#x2019;Aquila,Italy"],"affiliations":[{"raw_affiliation_string":"University of L&#x2019;Aquila (UnivAQ),Department of Information Engineering, Computer Science and Mathematics (DISIM),L&#x2019;Aquila,Italy","institution_ids":["https://openalex.org/I26415053"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008557705","display_name":"Claudia Rinaldi","orcid":"https://orcid.org/0000-0002-1356-8151"},"institutions":[{"id":"https://openalex.org/I26415053","display_name":"University of L'Aquila","ror":"https://ror.org/01j9p1r26","country_code":"IT","type":"education","lineage":["https://openalex.org/I26415053"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Claudia Rinaldi","raw_affiliation_strings":["University of L&#x2019;Aquila (UnivAQ),Department of Information Engineering, Computer Science and Mathematics (DISIM),L&#x2019;Aquila,Italy"],"affiliations":[{"raw_affiliation_string":"University of L&#x2019;Aquila (UnivAQ),Department of Information Engineering, Computer Science and Mathematics (DISIM),L&#x2019;Aquila,Italy","institution_ids":["https://openalex.org/I26415053"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5122944426"],"corresponding_institution_ids":["https://openalex.org/I26415053"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.7038796,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"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":0.31459999084472656,"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":0.31459999084472656,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.13130000233650208,"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"}},{"id":"https://openalex.org/T11349","display_name":"Music Technology and Sound Studies","score":0.10599999874830246,"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/benchmarking","display_name":"Benchmarking","score":0.6693000197410583},{"id":"https://openalex.org/keywords/profiling","display_name":"Profiling (computer programming)","score":0.6480000019073486},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5264999866485596},{"id":"https://openalex.org/keywords/modular-design","display_name":"Modular design","score":0.4821000099182129},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.44449999928474426},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.4237000048160553},{"id":"https://openalex.org/keywords/debugging","display_name":"Debugging","score":0.4090999960899353},{"id":"https://openalex.org/keywords/abstraction","display_name":"Abstraction","score":0.3815999925136566},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.37459999322891235}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8125},{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.6693000197410583},{"id":"https://openalex.org/C187191949","wikidata":"https://www.wikidata.org/wiki/Q1138496","display_name":"Profiling (computer programming)","level":2,"score":0.6480000019073486},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5264999866485596},{"id":"https://openalex.org/C101468663","wikidata":"https://www.wikidata.org/wiki/Q1620158","display_name":"Modular design","level":2,"score":0.4821000099182129},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.44449999928474426},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.4237000048160553},{"id":"https://openalex.org/C168065819","wikidata":"https://www.wikidata.org/wiki/Q845566","display_name":"Debugging","level":2,"score":0.4090999960899353},{"id":"https://openalex.org/C124304363","wikidata":"https://www.wikidata.org/wiki/Q673661","display_name":"Abstraction","level":2,"score":0.3815999925136566},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.37459999322891235},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3686999976634979},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3628999888896942},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.361299991607666},{"id":"https://openalex.org/C118643609","wikidata":"https://www.wikidata.org/wiki/Q189210","display_name":"Web application","level":2,"score":0.3589000105857849},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.35830000042915344},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.3555999994277954},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.33009999990463257},{"id":"https://openalex.org/C188087704","wikidata":"https://www.wikidata.org/wiki/Q369577","display_name":"Standardization","level":2,"score":0.3222000002861023},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.32199999690055847},{"id":"https://openalex.org/C89505385","wikidata":"https://www.wikidata.org/wiki/Q47146","display_name":"User interface","level":2,"score":0.3206999897956848},{"id":"https://openalex.org/C20574231","wikidata":"https://www.wikidata.org/wiki/Q844605","display_name":"Backward compatibility","level":2,"score":0.31790000200271606},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.3165000081062317},{"id":"https://openalex.org/C157170001","wikidata":"https://www.wikidata.org/wiki/Q4781507","display_name":"Applications of artificial intelligence","level":2,"score":0.302700012922287},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2976999878883362},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.28859999775886536},{"id":"https://openalex.org/C31395832","wikidata":"https://www.wikidata.org/wiki/Q1318674","display_name":"Testbed","level":2,"score":0.28630000352859497},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.2799000144004822},{"id":"https://openalex.org/C199168358","wikidata":"https://www.wikidata.org/wiki/Q3367000","display_name":"Orchestration","level":3,"score":0.2784999907016754},{"id":"https://openalex.org/C49020025","wikidata":"https://www.wikidata.org/wiki/Q1059099","display_name":"Chaining","level":2,"score":0.2757999897003174},{"id":"https://openalex.org/C557433098","wikidata":"https://www.wikidata.org/wiki/Q94","display_name":"Android (operating system)","level":2,"score":0.2687000036239624},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.26589998602867126},{"id":"https://openalex.org/C96324660","wikidata":"https://www.wikidata.org/wiki/Q205446","display_name":"Dataflow","level":2,"score":0.2639000117778778},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.26019999384880066}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscc65549.2025.11326439","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscc65549.2025.11326439","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE Symposium on Computers and Communications (ISCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4948330521583557,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W2059652044","https://openalex.org/W2107430826","https://openalex.org/W2797833340","https://openalex.org/W2931364255","https://openalex.org/W2951942899","https://openalex.org/W2972411915","https://openalex.org/W2982343573","https://openalex.org/W2983464374","https://openalex.org/W3005033663","https://openalex.org/W3009344039","https://openalex.org/W3085139254","https://openalex.org/W3100732527","https://openalex.org/W3139270985","https://openalex.org/W3178592608","https://openalex.org/W3197580070","https://openalex.org/W3198882010","https://openalex.org/W3199964822","https://openalex.org/W3202667537","https://openalex.org/W4220731687","https://openalex.org/W4225713393","https://openalex.org/W4311137818","https://openalex.org/W4379805195","https://openalex.org/W4383899470","https://openalex.org/W4385709007","https://openalex.org/W4385822952","https://openalex.org/W4386826409","https://openalex.org/W4386918931","https://openalex.org/W4387244556","https://openalex.org/W4388017359","https://openalex.org/W4401597538","https://openalex.org/W4405761172"],"related_works":[],"abstract_inverted_index":{"This":[0,56,152],"work":[1],"introduces":[2],"a":[3,33,48,87,94,138,148,158],"standardized":[4],"and":[5,18,29,44,51,64,107,121,128,141,166],"lightweight":[6],"abstraction":[7],"framework":[8,24,80],"for":[9,157,169],"Deep":[10],"Audio":[11,38],"Embedding":[12],"Neural":[13],"Networks.":[14],"Designed":[15],"with":[16,90],"edge":[17],"embedded":[19],"scenarios":[20],"in":[21,86],"mind,":[22],"the":[23,73,91,155],"enables":[25],"seamless":[26],"integration,":[27],"inference,":[28],"performance":[30],"profiling":[31,114],"of":[32,36,93],"large":[34],"set":[35],"pre-trained":[37],"NNs,":[39],"across":[40,132],"diverse":[41],"downstream":[42],"domains":[43],"platforms,":[45],"by":[46],"introducing":[47],"unified":[49],"API":[50],"an":[52,67],"open-contributing":[53],"configuration":[54],"schema.":[55],"interface":[57],"allows":[58],"each":[59],"model":[60,105,144],"to":[61],"be":[62],"instantiated":[63],"executed":[65],"through":[66,147],"easy":[68],"interpretable":[69],"descriptor,":[70],"without":[71],"altering":[72],"original":[74],"developers":[75],"source":[76],"code.":[77],"The":[78],"proposed":[79],"supports":[81],"fully":[82],"automated":[83],"benchmarking":[84,160],"orchestration":[85],"cloud-based":[88],"environment,":[89],"aim":[92],"modular":[95],"infrastructure":[96],"built":[97],"on":[98,110],"Amazon":[99],"Web":[100],"Services,":[101],"which":[102],"processes":[103],"community-contributed":[104],"configurations":[106],"evaluates":[108],"them":[109],"server-grade":[111],"hardware.":[112],"Benchmark":[113],"includes":[115],"inference":[116],"(CPU/GPU)":[117],"timing,":[118],"energy":[119],"efficiency,":[120],"memory":[122],"usage":[123],"monitoring,":[124],"minimizing":[125],"runtime":[126],"overhead":[127],"enabling":[129],"fair":[130],"comparison":[131],"implementations:":[133],"results":[134],"are":[135],"aggregated":[136],"into":[137],"real-time":[139],"leaderboard":[140],"within":[142],"technical":[143],"cards,":[145],"accessible":[146],"dedicated":[149],"web":[150],"interface.":[151],"initiative":[153],"lays":[154],"groundwork":[156],"community-driven":[159],"challenge,":[161],"encouraging":[162],"experimental":[163],"reproducibility,":[164],"scalability,":[165],"models":[167],"cross-compatibility":[168],"real-world":[170],"audio":[171],"intelligence":[172],"applications.":[173]},"counts_by_year":[],"updated_date":"2026-02-23T20:09:44.859080","created_date":"2026-01-14T00:00:00"}
