{"id":"https://openalex.org/W4294069436","doi":"https://doi.org/10.1109/icce-taiwan55306.2022.9869290","title":"Low Parameter and FLOPs1 Speech Densely Connected Convolutional Networks for Keyword Spotting","display_name":"Low Parameter and FLOPs1 Speech Densely Connected Convolutional Networks for Keyword Spotting","publication_year":2022,"publication_date":"2022-07-06","ids":{"openalex":"https://openalex.org/W4294069436","doi":"https://doi.org/10.1109/icce-taiwan55306.2022.9869290"},"language":"en","primary_location":{"id":"doi:10.1109/icce-taiwan55306.2022.9869290","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce-taiwan55306.2022.9869290","pdf_url":null,"source":{"id":"https://openalex.org/S4363607852","display_name":"2022 IEEE International Conference on Consumer Electronics - Taiwan","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":"2022 IEEE International Conference on Consumer Electronics - Taiwan","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/A5062323682","display_name":"Tsung\u2010Han Tsai","orcid":"https://orcid.org/0000-0001-7524-0621"},"institutions":[{"id":"https://openalex.org/I22265921","display_name":"National Central University","ror":"https://ror.org/00944ve71","country_code":"TW","type":"education","lineage":["https://openalex.org/I22265921"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Tsung-Han Tsai","raw_affiliation_strings":["National Central University,Department of Electrical Engineering,Taoyuan,Taiwan,32001"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Central University,Department of Electrical Engineering,Taoyuan,Taiwan,32001","institution_ids":["https://openalex.org/I22265921"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089237967","display_name":"Xin Lin","orcid":"https://orcid.org/0000-0002-7468-0366"},"institutions":[{"id":"https://openalex.org/I22265921","display_name":"National Central University","ror":"https://ror.org/00944ve71","country_code":"TW","type":"education","lineage":["https://openalex.org/I22265921"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Xin Hui Lin","raw_affiliation_strings":["National Central University,Department of Electrical Engineering,Taoyuan,Taiwan,32001"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Central University,Department of Electrical Engineering,Taoyuan,Taiwan,32001","institution_ids":["https://openalex.org/I22265921"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I22265921"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09823913,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"271","last_page":"272"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9991999864578247,"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"}},"topics":[{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9991999864578247,"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/T11309","display_name":"Music and Audio Processing","score":0.9979000091552734,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9944000244140625,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/keyword-spotting","display_name":"Keyword spotting","score":0.9025475978851318},{"id":"https://openalex.org/keywords/flops","display_name":"FLOPS","score":0.8579608201980591},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7756627202033997},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7362739443778992},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.6927562952041626},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.6604282259941101},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5482509732246399},{"id":"https://openalex.org/keywords/spotting","display_name":"Spotting","score":0.5248834490776062},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48840874433517456},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.37053921818733215},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35507991909980774},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.21455752849578857},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.14073342084884644},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.12504640221595764}],"concepts":[{"id":"https://openalex.org/C2781213101","wikidata":"https://www.wikidata.org/wiki/Q6398558","display_name":"Keyword spotting","level":2,"score":0.9025475978851318},{"id":"https://openalex.org/C3826847","wikidata":"https://www.wikidata.org/wiki/Q188768","display_name":"FLOPS","level":2,"score":0.8579608201980591},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7756627202033997},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7362739443778992},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.6927562952041626},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.6604282259941101},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5482509732246399},{"id":"https://openalex.org/C2779506182","wikidata":"https://www.wikidata.org/wiki/Q7580141","display_name":"Spotting","level":2,"score":0.5248834490776062},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48840874433517456},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.37053921818733215},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35507991909980774},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.21455752849578857},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.14073342084884644},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.12504640221595764},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icce-taiwan55306.2022.9869290","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce-taiwan55306.2022.9869290","pdf_url":null,"source":{"id":"https://openalex.org/S4363607852","display_name":"2022 IEEE International Conference on Consumer Electronics - Taiwan","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":"2022 IEEE International Conference on Consumer Electronics - Taiwan","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/W2622203030","https://openalex.org/W2809099079","https://openalex.org/W2963993763","https://openalex.org/W2973226577","https://openalex.org/W3015287265","https://openalex.org/W3094136258","https://openalex.org/W3097018422","https://openalex.org/W3154934206","https://openalex.org/W6784581357","https://openalex.org/W6793817709"],"related_works":["https://openalex.org/W2918559346","https://openalex.org/W2114097550","https://openalex.org/W4286904253","https://openalex.org/W3119978414","https://openalex.org/W2516975559","https://openalex.org/W2545741539","https://openalex.org/W3206647229","https://openalex.org/W1969408022","https://openalex.org/W2000885660","https://openalex.org/W2117995638"],"abstract_inverted_index":{"Due":[0],"to":[1,57,73,93,105],"the":[2,14,29,43,66,71,79,83,86],"fast-paced":[3],"nature":[4],"of":[5,16,70,78,103,110],"technology,":[6],"people":[7],"focus":[8],"on":[9,28],"keyword":[10,24,60],"spotting":[11,25,61],"technology":[12],"for":[13],"use":[15],"human-computer":[17],"interaction":[18],"(HCI).":[19],"In":[20],"this":[21],"paper,":[22],"a":[23,75,100,107],"technique":[26],"based":[27],"Convolutional":[30],"neural":[31],"network":[32,38,47,72,84,98],"(CNN)":[33],"method":[34],"is":[35,40],"proposed.":[36],"This":[37],"model":[39],"modified":[41],"with":[42],"densely":[44],"connected":[45],"convolutional":[46],"(DenseNet)":[48],"and":[49,53,68,112],"uses":[50],"grouped":[51],"convolution":[52,56],"deep":[54],"separable":[55],"construct":[58,74],"complete":[59],"tasks.":[62],"Besides,":[63],"we":[64],"change":[65],"width":[67],"depth":[69],"compact":[76],"variation":[77],"network.":[80],"We":[81],"established":[82],"using":[85],"Google":[87],"Speech":[88],"Command":[89],"Dataset":[90],"V2.":[91],"Compared":[92],"different":[94],"networks,":[95],"our":[96],"proposed":[97],"sacrifices":[99],"small":[101],"quantity":[102],"precision":[104],"have":[106],"low":[108],"number":[109],"parameters":[111],"floating-point":[113],"operations":[114],"(FLOPs).":[115]},"counts_by_year":[],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}
