{"id":"https://openalex.org/W4200457745","doi":"https://doi.org/10.1109/asicon52560.2021.9620352","title":"Low-Power Keyword Recognition Feature Extraction Circuit based on SRMFCC and Shared Multiplier for High Noise Background","display_name":"Low-Power Keyword Recognition Feature Extraction Circuit based on SRMFCC and Shared Multiplier for High Noise Background","publication_year":2021,"publication_date":"2021-10-26","ids":{"openalex":"https://openalex.org/W4200457745","doi":"https://doi.org/10.1109/asicon52560.2021.9620352"},"language":"en","primary_location":{"id":"doi:10.1109/asicon52560.2021.9620352","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asicon52560.2021.9620352","pdf_url":null,"source":{"id":"https://openalex.org/S4363607945","display_name":"2021 IEEE 14th International Conference on ASIC (ASICON)","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":"2021 IEEE 14th International Conference on ASIC (ASICON)","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/A5100353035","display_name":"Zilong Zhang","orcid":"https://orcid.org/0000-0002-9183-649X"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zilong Zhang","raw_affiliation_strings":["School of Integrated Circuits, Southeast University, Wuxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Integrated Circuits, Southeast University, Wuxi, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049742276","display_name":"Haichuang Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haichuang Yang","raw_affiliation_strings":["School of Integrated Circuits, Southeast University, Wuxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Integrated Circuits, Southeast University, Wuxi, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060944435","display_name":"Xuan Zhang","orcid":"https://orcid.org/0000-0002-7537-4002"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuan Zhang","raw_affiliation_strings":["School of Integrated Circuits, Southeast University, Wuxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Integrated Circuits, Southeast University, Wuxi, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101799613","display_name":"Xiaoling Ding","orcid":"https://orcid.org/0000-0001-6559-0425"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoling Ding","raw_affiliation_strings":["School of Integrated Circuits, Southeast University, Wuxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Integrated Circuits, Southeast University, Wuxi, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101480049","display_name":"Xuetao Wang","orcid":"https://orcid.org/0000-0003-4593-052X"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuetao Wang","raw_affiliation_strings":["School of Integrated Circuits, Southeast University, Wuxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Integrated Circuits, Southeast University, Wuxi, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030893320","display_name":"Yu Gong","orcid":"https://orcid.org/0000-0002-2736-4635"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Gong","raw_affiliation_strings":["School of Electronic Science and Engineering, Southeast University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic Science and Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100461621","display_name":"Bo Liu","orcid":"https://orcid.org/0000-0002-0894-1054"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Liu","raw_affiliation_strings":["School of Electronic Science and Engineering, Southeast University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic Science and Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I76569877"],"apc_list":null,"apc_paid":null,"fwci":0.1268,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.38604436,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"16","issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9976999759674072,"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":0.9976999759674072,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9919000267982483,"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"}},{"id":"https://openalex.org/T12326","display_name":"Network Packet Processing and Optimization","score":0.9904000163078308,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/mel-frequency-cepstrum","display_name":"Mel-frequency cepstrum","score":0.8549313545227051},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7016751766204834},{"id":"https://openalex.org/keywords/multiplier","display_name":"Multiplier (economics)","score":0.6596379280090332},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6295322179794312},{"id":"https://openalex.org/keywords/fast-fourier-transform","display_name":"Fast Fourier transform","score":0.5881059765815735},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5876269936561584},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.574617862701416},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4840823709964752},{"id":"https://openalex.org/keywords/discrete-cosine-transform","display_name":"Discrete cosine transform","score":0.47206905484199524},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4483196437358856},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44444891810417175},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4282997250556946},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3432729244232178}],"concepts":[{"id":"https://openalex.org/C151989614","wikidata":"https://www.wikidata.org/wiki/Q440370","display_name":"Mel-frequency cepstrum","level":3,"score":0.8549313545227051},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7016751766204834},{"id":"https://openalex.org/C124584101","wikidata":"https://www.wikidata.org/wiki/Q1053266","display_name":"Multiplier (economics)","level":2,"score":0.6596379280090332},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6295322179794312},{"id":"https://openalex.org/C75172450","wikidata":"https://www.wikidata.org/wiki/Q623950","display_name":"Fast Fourier transform","level":2,"score":0.5881059765815735},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5876269936561584},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.574617862701416},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4840823709964752},{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.47206905484199524},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4483196437358856},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44444891810417175},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4282997250556946},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3432729244232178},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C139719470","wikidata":"https://www.wikidata.org/wiki/Q39680","display_name":"Macroeconomics","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/asicon52560.2021.9620352","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asicon52560.2021.9620352","pdf_url":null,"source":{"id":"https://openalex.org/S4363607945","display_name":"2021 IEEE 14th International Conference on ASIC (ASICON)","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":"2021 IEEE 14th International Conference on ASIC (ASICON)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.699999988079071}],"awards":[],"funders":[{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null},{"id":"https://openalex.org/F4320337504","display_name":"Research and Development","ror":"https://ror.org/027s68j25"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W585658244","https://openalex.org/W2052384514","https://openalex.org/W2159948467","https://openalex.org/W2185298820","https://openalex.org/W2899441512","https://openalex.org/W2951469251","https://openalex.org/W2979872424","https://openalex.org/W4241779596"],"related_works":["https://openalex.org/W2136054869","https://openalex.org/W2546942002","https://openalex.org/W2015086627","https://openalex.org/W2789825026","https://openalex.org/W2170316800","https://openalex.org/W2016461833","https://openalex.org/W4367598285","https://openalex.org/W2148875196","https://openalex.org/W2062208920","https://openalex.org/W4200457745"],"abstract_inverted_index":{"In":[0],"this":[1,25],"paper,":[2],"we":[3],"proposes":[4],"a":[5,41,77],"precision-":[6],"adaptive":[7],"speech":[8],"feature":[9,38],"extraction":[10,39],"module":[11],"based":[12],"on":[13,30],"SRMFCC":[14,54],"and":[15],"shared":[16,80],"multiplier":[17,81],"for":[18],"high-noise":[19],"background.":[20],"The":[21],"main":[22],"contributions":[23],"of":[24],"paper":[26],"include:":[27],"(1)":[28],"Based":[29],"the":[31,50,53],"traditional":[32,51],"Mel":[33],"Frequency":[34],"Cepstrum":[35],"Coefficient":[36],"(MFCC)":[37],"algorithm,":[40],"Simplified":[42],"Rectangular":[43],"MFCC(SRMFCC)":[44],"algorithm":[45],"is":[46,82],"proposed.":[47],"Compared":[48,92],"with":[49,93],"MFCC,":[52],"can":[55,85,99],"maintain":[56],"good":[57],"recognition":[58],"accuracy":[59,90],"in":[60,71],"noisy":[61],"background":[62],"under":[63],"different":[64,88],"signal-to-noise":[65],"ratios(SNR).":[66],"(2)":[67],"For":[68],"multiplication":[69,95],"calculation":[70,89],"Fast":[72],"Fourier":[73],"Transform":[74],"(FFT)":[75],"module,":[76],"multi-quantization":[78],"table":[79],"proposed,":[83],"which":[84],"adapt":[86],"to":[87],"requirements.":[91],"standard":[94],"calculation,":[96],"power":[97],"consumption":[98],"be":[100],"significantly":[101],"reduced":[102],"by":[103],"40%.":[104]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}