{"id":"https://openalex.org/W2588034815","doi":"https://doi.org/10.1109/aspdac.2017.7858305","title":"Low-power neuromorphic speech recognition engine with coarse-grain sparsity","display_name":"Low-power neuromorphic speech recognition engine with coarse-grain sparsity","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2588034815","doi":"https://doi.org/10.1109/aspdac.2017.7858305","mag":"2588034815"},"language":"en","primary_location":{"id":"doi:10.1109/aspdac.2017.7858305","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aspdac.2017.7858305","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 22nd Asia and South Pacific Design Automation Conference (ASP-DAC)","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/A5074272474","display_name":"Shihui Yin","orcid":"https://orcid.org/0000-0001-7186-0946"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Shihui Yin","raw_affiliation_strings":["School of Electrical, Arizona State University, Tempe, AZ, USA"],"affiliations":[{"raw_affiliation_string":"School of Electrical, Arizona State University, Tempe, AZ, USA","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085748811","display_name":"Deepak Kadetotad","orcid":"https://orcid.org/0000-0003-0924-7213"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Deepak Kadetotad","raw_affiliation_strings":["School of Electrical, Arizona State University, Tempe, AZ, USA"],"affiliations":[{"raw_affiliation_string":"School of Electrical, Arizona State University, Tempe, AZ, USA","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043075091","display_name":"Bonan Yan","orcid":"https://orcid.org/0000-0002-3052-9330"},"institutions":[{"id":"https://openalex.org/I170201317","display_name":"University of Pittsburgh","ror":"https://ror.org/01an3r305","country_code":"US","type":"education","lineage":["https://openalex.org/I170201317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bonan Yan","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Pittsburgh, PA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I170201317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090122720","display_name":"Chang Song","orcid":"https://orcid.org/0000-0002-1806-792X"},"institutions":[{"id":"https://openalex.org/I170201317","display_name":"University of Pittsburgh","ror":"https://ror.org/01an3r305","country_code":"US","type":"education","lineage":["https://openalex.org/I170201317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chang Song","raw_affiliation_strings":["University of Pittsburgh, Pittsburgh, PA, US"],"affiliations":[{"raw_affiliation_string":"University of Pittsburgh, Pittsburgh, PA, US","institution_ids":["https://openalex.org/I170201317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058073627","display_name":"Yiran Chen","orcid":"https://orcid.org/0000-0002-1486-8412"},"institutions":[{"id":"https://openalex.org/I170201317","display_name":"University of Pittsburgh","ror":"https://ror.org/01an3r305","country_code":"US","type":"education","lineage":["https://openalex.org/I170201317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yiran Chen","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Pittsburgh, PA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I170201317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025336372","display_name":"Chaitali Chakrabarti","orcid":"https://orcid.org/0000-0002-9859-7778"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chaitali Chakrabarti","raw_affiliation_strings":["School of Electrical, Arizona State University, Tempe, AZ, USA"],"affiliations":[{"raw_affiliation_string":"School of Electrical, Arizona State University, Tempe, AZ, USA","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007690955","display_name":"Jae-sun Seo","orcid":"https://orcid.org/0000-0002-4551-7789"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jae-sun Seo","raw_affiliation_strings":["School of Electrical, Arizona State University, Tempe, AZ, USA"],"affiliations":[{"raw_affiliation_string":"School of Electrical, Arizona State University, Tempe, AZ, USA","institution_ids":["https://openalex.org/I55732556"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5074272474"],"corresponding_institution_ids":["https://openalex.org/I55732556"],"apc_list":null,"apc_paid":null,"fwci":0.5734,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.68042291,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"111","last_page":"114"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/T12808","display_name":"Ferroelectric and Negative Capacitance Devices","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.9923999905586243,"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/neuromorphic-engineering","display_name":"Neuromorphic engineering","score":0.944497287273407},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7652682065963745},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.6434367299079895},{"id":"https://openalex.org/keywords/granularity","display_name":"Granularity","score":0.5105262994766235},{"id":"https://openalex.org/keywords/spiking-neural-network","display_name":"Spiking neural network","score":0.5104666948318481},{"id":"https://openalex.org/keywords/spike","display_name":"Spike (software development)","score":0.485392689704895},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.47341257333755493},{"id":"https://openalex.org/keywords/word-error-rate","display_name":"Word error rate","score":0.4409913420677185},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4282044470310211},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4278647303581238},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.363591730594635},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.34630444645881653},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.18641752004623413},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0909261405467987}],"concepts":[{"id":"https://openalex.org/C151927369","wikidata":"https://www.wikidata.org/wiki/Q1981312","display_name":"Neuromorphic engineering","level":3,"score":0.944497287273407},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7652682065963745},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.6434367299079895},{"id":"https://openalex.org/C177774035","wikidata":"https://www.wikidata.org/wiki/Q1246948","display_name":"Granularity","level":2,"score":0.5105262994766235},{"id":"https://openalex.org/C11731999","wikidata":"https://www.wikidata.org/wiki/Q9067355","display_name":"Spiking neural network","level":3,"score":0.5104666948318481},{"id":"https://openalex.org/C2781390188","wikidata":"https://www.wikidata.org/wiki/Q25203449","display_name":"Spike (software development)","level":2,"score":0.485392689704895},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.47341257333755493},{"id":"https://openalex.org/C40969351","wikidata":"https://www.wikidata.org/wiki/Q3516228","display_name":"Word error rate","level":2,"score":0.4409913420677185},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4282044470310211},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4278647303581238},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.363591730594635},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.34630444645881653},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.18641752004623413},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0909261405467987},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/aspdac.2017.7858305","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aspdac.2017.7858305","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 22nd Asia and South Pacific Design Automation Conference (ASP-DAC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.4099999964237213,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2091432990","https://openalex.org/W2119144962","https://openalex.org/W2138913040","https://openalex.org/W2314470091","https://openalex.org/W2515417790","https://openalex.org/W2521878335","https://openalex.org/W2534720278","https://openalex.org/W2963000224","https://openalex.org/W2964299589","https://openalex.org/W3127686677","https://openalex.org/W6677580257","https://openalex.org/W6725543821"],"related_works":["https://openalex.org/W2542565870","https://openalex.org/W3089892344","https://openalex.org/W2012951121","https://openalex.org/W3081559266","https://openalex.org/W3160415743","https://openalex.org/W2960220682","https://openalex.org/W4313442939","https://openalex.org/W4386227293","https://openalex.org/W4372267706","https://openalex.org/W2885510266"],"abstract_inverted_index":{"In":[0,20],"recent":[1],"years,":[2],"we":[3,23],"have":[4],"seen":[5],"a":[6,47],"surge":[7],"of":[8,81,102],"interest":[9],"in":[10,89],"neuromorphic":[11,26,42],"computing":[12],"and":[13,29,86,108],"its":[14],"hardware":[15],"design":[16],"for":[17,36,83,92],"cognitive":[18],"applications.":[19],"this":[21],"work,":[22],"present":[24],"new":[25],"architecture,":[27],"circuit,":[28],"device":[30],"co-designs":[31],"that":[32,68],"enable":[33],"spike-based":[34],"classification":[35],"speech":[37,43],"recognition":[38,44],"task.":[39],"The":[40],"proposed":[41,70],"engine":[45],"supports":[46],"sparsely":[48],"connected":[49],"deep":[50,71],"spiking":[51,72],"network":[52,74],"with":[53,61],"coarse":[54],"granularity,":[55],"leading":[56],"to":[57],"large":[58],"memory":[59,98,104],"reduction":[60],"minimal":[62],"index":[63],"information.":[64],"Simulation":[65],"results":[66],"show":[67],"the":[69,97,100],"neural":[73],"accelerator":[75],"achieves":[76],"phoneme":[77],"error":[78],"rate":[79],"(PER)":[80],"20.5%":[82],"TIMIT":[84],"database,":[85],"consume":[87],"2.57mW":[88],"40nm":[90],"CMOS":[91],"real-time":[93],"performance.":[94],"To":[95],"alleviate":[96],"bottleneck,":[99],"usage":[101],"non-volatile":[103],"is":[105],"also":[106],"evaluated":[107],"discussed.":[109]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}