{"id":"https://openalex.org/W4382935216","doi":"https://doi.org/10.1109/iwasi58316.2023.10164328","title":"Improving latency performance trade-off in keyword spotting applications at the edge","display_name":"Improving latency performance trade-off in keyword spotting applications at the edge","publication_year":2023,"publication_date":"2023-06-08","ids":{"openalex":"https://openalex.org/W4382935216","doi":"https://doi.org/10.1109/iwasi58316.2023.10164328"},"language":"en","primary_location":{"id":"doi:10.1109/iwasi58316.2023.10164328","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwasi58316.2023.10164328","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 9th International Workshop on Advances in Sensors and Interfaces (IWASI)","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/A5019442580","display_name":"Francesco Paissan","orcid":"https://orcid.org/0000-0002-5553-7935"},"institutions":[{"id":"https://openalex.org/I2277624104","display_name":"Fondazione Bruno Kessler","ror":"https://ror.org/01j33xk10","country_code":"IT","type":"facility","lineage":["https://openalex.org/I2277624104"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Francesco Paissan","raw_affiliation_strings":["Fondazione Bruno Kessler Digital Society center"],"affiliations":[{"raw_affiliation_string":"Fondazione Bruno Kessler Digital Society center","institution_ids":["https://openalex.org/I2277624104"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092384877","display_name":"Anisha Mohamed Sahabdeen","orcid":null},"institutions":[{"id":"https://openalex.org/I2277624104","display_name":"Fondazione Bruno Kessler","ror":"https://ror.org/01j33xk10","country_code":"IT","type":"facility","lineage":["https://openalex.org/I2277624104"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Anisha Mohamed Sahabdeen","raw_affiliation_strings":["Fondazione Bruno Kessler Digital Society center"],"affiliations":[{"raw_affiliation_string":"Fondazione Bruno Kessler Digital Society center","institution_ids":["https://openalex.org/I2277624104"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046416586","display_name":"Alberto Ancilotto","orcid":"https://orcid.org/0000-0002-1396-3709"},"institutions":[{"id":"https://openalex.org/I2277624104","display_name":"Fondazione Bruno Kessler","ror":"https://ror.org/01j33xk10","country_code":"IT","type":"facility","lineage":["https://openalex.org/I2277624104"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Alberto Ancilotto","raw_affiliation_strings":["Fondazione Bruno Kessler Digital Society center"],"affiliations":[{"raw_affiliation_string":"Fondazione Bruno Kessler Digital Society center","institution_ids":["https://openalex.org/I2277624104"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068548938","display_name":"Elisabetta Farella","orcid":"https://orcid.org/0000-0001-9047-9868"},"institutions":[{"id":"https://openalex.org/I2277624104","display_name":"Fondazione Bruno Kessler","ror":"https://ror.org/01j33xk10","country_code":"IT","type":"facility","lineage":["https://openalex.org/I2277624104"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Elisabetta Farella","raw_affiliation_strings":["Fondazione Bruno Kessler Digital Society center"],"affiliations":[{"raw_affiliation_string":"Fondazione Bruno Kessler Digital Society center","institution_ids":["https://openalex.org/I2277624104"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5019442580"],"corresponding_institution_ids":["https://openalex.org/I2277624104"],"apc_list":null,"apc_paid":null,"fwci":0.4066,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.55536083,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"299","last_page":"304"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9997000098228455,"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/T10860","display_name":"Speech and Audio Processing","score":0.9988999962806702,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/keyword-spotting","display_name":"Keyword spotting","score":0.85948246717453},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8415987491607666},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.6806527376174927},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.5058114528656006},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.46026068925857544},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.4599986970424652},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4440658390522003},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.43161436915397644},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.4282801151275635},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.3759107291698456},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.336112916469574},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33524948358535767},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.11225062608718872}],"concepts":[{"id":"https://openalex.org/C2781213101","wikidata":"https://www.wikidata.org/wiki/Q6398558","display_name":"Keyword spotting","level":2,"score":0.85948246717453},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8415987491607666},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.6806527376174927},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.5058114528656006},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.46026068925857544},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.4599986970424652},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4440658390522003},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.43161436915397644},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.4282801151275635},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.3759107291698456},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.336112916469574},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33524948358535767},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.11225062608718872},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iwasi58316.2023.10164328","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwasi58316.2023.10164328","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 9th International Workshop on Advances in Sensors and Interfaces (IWASI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7099999785423279,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1821462560","https://openalex.org/W2060365990","https://openalex.org/W2519091744","https://openalex.org/W2769912137","https://openalex.org/W2797583228","https://openalex.org/W2888641632","https://openalex.org/W2955425717","https://openalex.org/W2963628261","https://openalex.org/W2972824267","https://openalex.org/W3004034302","https://openalex.org/W3044604993","https://openalex.org/W3047691788","https://openalex.org/W3094550259","https://openalex.org/W3105515454","https://openalex.org/W3196496149","https://openalex.org/W3196974791","https://openalex.org/W4210269029","https://openalex.org/W4210849193","https://openalex.org/W4224918070","https://openalex.org/W4229050475","https://openalex.org/W4312826941","https://openalex.org/W4323570368","https://openalex.org/W4385245566","https://openalex.org/W6631190155","https://openalex.org/W6638523607","https://openalex.org/W6739901393","https://openalex.org/W6746451879","https://openalex.org/W6750665317","https://openalex.org/W6762718338","https://openalex.org/W6780827055","https://openalex.org/W6851308853"],"related_works":["https://openalex.org/W2114097550","https://openalex.org/W4385352507","https://openalex.org/W2918559346","https://openalex.org/W84309476","https://openalex.org/W4389912005","https://openalex.org/W4286904253","https://openalex.org/W2386245264","https://openalex.org/W2388033618","https://openalex.org/W2378448517","https://openalex.org/W2034940213"],"abstract_inverted_index":{"Keyword":[0],"Spotting":[1],"(KWS)":[2],"is":[3,55,69],"handy":[4],"in":[5,28,127],"many":[6,31],"innovative":[7],"ambient":[8],"intelligence":[9],"applications,":[10],"such":[11,114],"as":[12,115],"smart":[13],"cities":[14],"and":[15,45,87,138],"home":[16],"automation.":[17],"While":[18],"solving":[19],"KWS":[20,35],"on":[21,77],"GP/GPUs":[22],"has":[23],"become":[24],"a":[25,56,98],"trivial":[26],"task":[27],"recent":[29],"years,":[30],"benefits":[32],"arise":[33],"when":[34,122],"applications":[36],"run":[37],"at":[38],"the":[39,84,88,124],"edge":[40],"(e.g.,":[41,80],"privacy":[42],"by":[43],"design":[44],"infrastructure":[46],"sustainability),":[47],"where":[48],"resources":[49],"are":[50],"limited.":[51],"Hardware-aware":[52],"scaling":[53,103],"(HAS)":[54],"novel":[57],"paradigm":[58],"that":[59],"brings":[60],"neural":[61,73,99,110],"architectures":[62,74,107],"to":[63,71,75],"low-resource":[64],"platforms.":[65],"With":[66],"HAS,":[67,95],"it":[68],"possible":[70],"optimize":[72],"fit":[76],"embedded":[78],"platforms":[79],"microcontrollers)":[81],"while":[82],"maximizing":[83],"performance-complexity":[85],"tradeoff":[86],"performance-latency":[89],"tradeoff.":[90],"This":[91],"paper":[92],"shows":[93],"how":[94],"coupled":[96],"with":[97,101,109,132],"network":[100],"appropriate":[102],"capabilities,":[104],"can":[105],"outperform":[106],"designed":[108],"architecture":[111],"search":[112],"techniques,":[113],"MCUNet.":[116],"Our":[117],"method":[118],"achieves":[119],"94.5%":[120],"accuracy":[121],"classifying":[123],"35":[125],"keywords":[126],"Google":[128],"Speech":[129],"Commands":[130],"v2,":[131],"only":[133],"70":[134],"ms":[135],"of":[136,142],"latency":[137],"overall":[139],"power":[140],"consumption":[141],"less":[143],"than":[144],"10":[145],"mJ.":[146]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}