{"id":"https://openalex.org/W4360605553","doi":"https://doi.org/10.1109/isscc42615.2023.10067646","title":"22.8 A0.81 mm<sup>2</sup> 740\u03bcW Real-Time Speech Enhancement Processor Using Multiplier-Less PE Arrays for Hearing Aids in 28nm CMOS","display_name":"22.8 A0.81 mm<sup>2</sup> 740\u03bcW Real-Time Speech Enhancement Processor Using Multiplier-Less PE Arrays for Hearing Aids in 28nm CMOS","publication_year":2023,"publication_date":"2023-02-19","ids":{"openalex":"https://openalex.org/W4360605553","doi":"https://doi.org/10.1109/isscc42615.2023.10067646"},"language":"en","primary_location":{"id":"doi:10.1109/isscc42615.2023.10067646","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isscc42615.2023.10067646","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Solid- State Circuits Conference (ISSCC)","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/A5100323615","display_name":"Sungjin Park","orcid":"https://orcid.org/0000-0002-2822-4319"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sungjin Park","raw_affiliation_strings":["Seoul National University,Seoul,Korea","Seoul National University, Seoul, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Seoul National University,Seoul,Korea","institution_ids":["https://openalex.org/I139264467"]},{"raw_affiliation_string":"Seoul National University, Seoul, Korea","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100698554","display_name":"Sunwoo Lee","orcid":"https://orcid.org/0000-0001-6334-3068"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sunwoo Lee","raw_affiliation_strings":["Seoul National University,Seoul,Korea","Seoul National University, Seoul, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Seoul National University,Seoul,Korea","institution_ids":["https://openalex.org/I139264467"]},{"raw_affiliation_string":"Seoul National University, Seoul, Korea","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014896776","display_name":"Jeongwoo Park","orcid":"https://orcid.org/0000-0002-1084-902X"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jeongwoo Park","raw_affiliation_strings":["Seoul National University,Seoul,Korea","Seoul National University, Seoul, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Seoul National University,Seoul,Korea","institution_ids":["https://openalex.org/I139264467"]},{"raw_affiliation_string":"Seoul National University, Seoul, Korea","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091245121","display_name":"Hyeong-Seok Choi","orcid":"https://orcid.org/0000-0001-6494-7736"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyeong-Seok Choi","raw_affiliation_strings":["Seoul National University,Seoul,Korea","Seoul National University, Seoul, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Seoul National University,Seoul,Korea","institution_ids":["https://openalex.org/I139264467"]},{"raw_affiliation_string":"Seoul National University, Seoul, Korea","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053248335","display_name":"Dongsuk Jeon","orcid":"https://orcid.org/0000-0002-0395-8076"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Dongsuk Jeon","raw_affiliation_strings":["Seoul National University,Seoul,Korea","Seoul National University, Seoul, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Seoul National University,Seoul,Korea","institution_ids":["https://openalex.org/I139264467"]},{"raw_affiliation_string":"Seoul National University, Seoul, Korea","institution_ids":["https://openalex.org/I139264467"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I139264467"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"21","last_page":"23"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":1.0,"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/T10860","display_name":"Speech and Audio Processing","score":1.0,"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10283","display_name":"Hearing Loss and Rehabilitation","score":0.9986000061035156,"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/computer-science","display_name":"Computer science","score":0.6643089652061462},{"id":"https://openalex.org/keywords/speech-enhancement","display_name":"Speech enhancement","score":0.51795494556427},{"id":"https://openalex.org/keywords/speech-processing","display_name":"Speech processing","score":0.5036832690238953},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.46796828508377075},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.37557291984558105},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.35181981325149536},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24985957145690918},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.10102617740631104}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6643089652061462},{"id":"https://openalex.org/C2776182073","wikidata":"https://www.wikidata.org/wiki/Q7575395","display_name":"Speech enhancement","level":3,"score":0.51795494556427},{"id":"https://openalex.org/C61328038","wikidata":"https://www.wikidata.org/wiki/Q3358061","display_name":"Speech processing","level":2,"score":0.5036832690238953},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.46796828508377075},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.37557291984558105},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.35181981325149536},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24985957145690918},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.10102617740631104}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isscc42615.2023.10067646","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isscc42615.2023.10067646","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Solid- State Circuits Conference (ISSCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.47999998927116394,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W3021847282","https://openalex.org/W3028019732","https://openalex.org/W3127136429","https://openalex.org/W3164612836","https://openalex.org/W4225905067","https://openalex.org/W6790002655"],"related_works":["https://openalex.org/W2770665941","https://openalex.org/W3096184950","https://openalex.org/W4231424160","https://openalex.org/W2120771489","https://openalex.org/W2275432853","https://openalex.org/W2051376034","https://openalex.org/W197907117","https://openalex.org/W2955597484","https://openalex.org/W3110551121","https://openalex.org/W2131486661"],"abstract_inverted_index":{"Speech":[0],"enhancement":[1,142,200],"(SE)":[2],"is":[3,19],"a":[4,40,145,191],"task":[5],"to":[6,87,174,227],"improve":[7],"voice":[8],"quality":[9],"and":[10,56,76,116,161,165,170],"intelligibility":[11],"by":[12,178,201],"removing":[13],"noise":[14],"from":[15],"the":[16,34,154,218,221],"audio,":[17],"which":[18],"widely":[20],"adopted":[21],"in":[22,31,190],"hearing":[23,65],"assistive":[24,66],"devices.":[25,67],"Hearing":[26],"aids":[27],"are":[28],"generally":[29],"worn":[30],"or":[32,90],"behind":[33],"ear,":[35],"requiring":[36],"real-time":[37,121,198],"processing":[38,99,122,147,152,176,202],"with":[39,112],"limited":[41],"power":[42,114],"budget.":[43],"Deep":[44],"learning-based":[45],"algorithms":[46],"provide":[47],"excellent":[48],"SE":[49,84,106,111,229],"quality,":[50,143],"but":[51],"their":[52],"large":[53,93],"model":[54],"size":[55],"high":[57],"computational":[58,138],"complexity":[59],"make":[60],"them":[61],"unsuitable":[62],"for":[63,150],"wearable":[64],"Recent":[68],"hardware-oriented":[69],"works":[70],"mitigate":[71],"these":[72,184],"issues":[73],"through":[74],"algorithm":[75,160],"hardware":[77],"optimization":[78,133],"[1\u20133].":[79],"Nonetheless,":[80],"they":[81],"exhibit":[82],"inferior":[83],"performance":[85],"relative":[86],"state-of-the-art":[88],"models":[89],"rely":[91],"on":[92,183],"neural":[94,131,162],"network":[95,132,163],"models,":[96],"limiting":[97],"overall":[98],"efficiency.":[100],"This":[101],"paper":[102],"presents":[103],"an":[104,129],"end-to-end":[105],"system":[107],"that":[108,135],"delivers":[109],"high-quality":[110],"low":[113],"consumption":[115],"small":[117],"area,":[118],"while":[119,140,209],"meeting":[120],"constraints.":[123],"Our":[124],"main":[125],"contributions":[126],"are:":[127],"1)":[128],"importance-aware":[130],"method":[134],"significantly":[136],"reduces":[137],"costs,":[139],"maintaining":[141],"2)":[144],"reconfigurable":[146],"element":[148],"(PE)":[149],"efficiently":[151],"both":[153],"coordinate":[155],"rotation":[156],"digital":[157],"computer":[158],"(CORDIC)":[159],"layers,":[164],"3)":[166],"PE":[167,180],"input":[168],"routing":[169],"weight":[171],"mapping":[172],"schemes":[173],"minimize":[175],"latency":[177],"enhancing":[179],"utilization.":[181],"Based":[182],"design":[185,219],"techniques,":[186],"our":[187],"processor":[188],"fabricated":[189],"<tex":[192,206,212],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[193,207,213],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$28\\mathsf{nm}$</tex>":[194],"CMOS":[195],"process":[196],"fulfills":[197],"speech":[199],"each":[203],"frame":[204],"within":[205],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$8\\mathsf{ms}$</tex>":[208],"consuming":[210],"only":[211],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$740\\mu":[214],"\\mathsf{W}$</tex>":[215],".":[216],"Also,":[217],"achieves":[220],"highest":[222],"objective":[223],"evaluation":[224],"score":[225],"compared":[226],"previous":[228],"processors.":[230]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
