{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T17:02:06Z","timestamp":1782925326753,"version":"3.54.5"},"reference-count":30,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"7","license":[{"start":{"date-parts":[[2021,7,1]],"date-time":"2021-07-01T00:00:00Z","timestamp":1625097600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,7,1]],"date-time":"2021-07-01T00:00:00Z","timestamp":1625097600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,7,1]],"date-time":"2021-07-01T00:00:00Z","timestamp":1625097600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"AFRL and DARPA as part of the FRANC Program","award":["FA8650-18-2-7866"],"award-info":[{"award-number":["FA8650-18-2-7866"]}]},{"DOI":"10.13039\/100006234","name":"Sandia National Laboratories","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100006234","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE J. Solid-State Circuits"],"published-print":{"date-parts":[[2021,7]]},"DOI":"10.1109\/jssc.2020.3029586","type":"journal-article","created":{"date-parts":[[2020,10,26]],"date-time":"2020-10-26T20:34:32Z","timestamp":1603744472000},"page":"2234-2244","source":"Crossref","is-referenced-by-count":30,"title":["A 0.44-<i>\u03bc<\/i>J\/dec, 39.9-<i>\u03bc<\/i>s\/dec, Recurrent Attention In-Memory Processor for Keyword Spotting"],"prefix":"10.1109","volume":"56","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8597-2121","authenticated-orcid":false,"given":"Hassan","family":"Dbouk","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4743-6461","authenticated-orcid":false,"given":"Sujan K.","family":"Gonugondla","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5641-0541","authenticated-orcid":false,"given":"Charbel","family":"Sakr","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4323-9164","authenticated-orcid":false,"given":"Naresh R.","family":"Shanbhag","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01237-3_23"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/JSSC.2019.2936756"},{"key":"ref11","first-page":"2204","article-title":"Recurrent models of visual attention","author":"mnih","year":"2014","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CICC48029.2020.9075923"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/JSSC.2017.2782087"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/JSSC.2018.2867275"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/JSSC.2016.2642198"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/JSSC.2018.2822703"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/JSSC.2018.2880918"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/JSSC.2019.2899730"},{"key":"ref19","first-page":"240","article-title":"15.2 a 28nm 64Kb inference-training two-way transpose multibit 6T SRAM Compute-in-Memory macro for AI edge chips","author":"su","year":"2020","journal-title":"IEEE Int Solid-State Circuits Conf (ISSCC) Dig Tech Papers"},{"key":"ref28","first-page":"1","article-title":"Per-tensor fixed-point quantization of the back-propagation algorithm","author":"sakr","year":"2019","journal-title":"Proc 7th Int Conf Learn Represent"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CICC.2018.8357068"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2018.8461702"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ISSCC.2017.7870352"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.23919\/VLSIC.2019.8778028"},{"key":"ref29","first-page":"525","article-title":"Xnor-net: Imagenet classification using binary convolutional neural networks","author":"rastegari","year":"2016","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ESSCIRC.2018.8494342"},{"key":"ref8","article-title":"Speech commands: A dataset for limited-vocabulary speech recognition","author":"warden","year":"2018","journal-title":"arXiv 1804 03209"},{"key":"ref7","first-page":"230","article-title":"14.1 a 510nW 0.41 V low-memory low-computation keyword-spotting chip using serial FFT-based MFCC and binarized depthwise separable convolutional neural network in 28nm CMOS","author":"shan","year":"2020","journal-title":"IEEE Int Solid-State Circuits Conf (ISSCC) Dig Tech Papers"},{"key":"ref2","article-title":"Hello edge: Keyword spotting on microcontrollers","author":"zhang","year":"2017","journal-title":"arXiv 1711 07128"},{"key":"ref9","article-title":"MobileNets: Efficient convolutional neural networks for mobile vision applications","author":"howard","year":"2017","journal-title":"arXiv 1704 04861"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2016.7472820"},{"key":"ref20","first-page":"234","article-title":"14.3 a 65nm Computing-in-Memory-Based CNN processor with 2.9-to-35.8TOPS\/W system energy efficiency using dynamic-sparsity performance-scaling architecture and energy-efficient Inter\/Intra-macro data reuse","author":"yue","year":"2020","journal-title":"IEEE Int Solid-State Circuits Conf (ISSCC) Dig Tech Papers"},{"key":"ref22","first-page":"246","article-title":"15.5 a 28nm 64Kb 6T SRAM Computing-in-Memory macro with 8b MAC operation for AI edge chips","author":"si","year":"2020","journal-title":"IEEE Int Solid-State Circuits Conf (ISSCC) Dig Tech Papers"},{"key":"ref21","first-page":"242","article-title":"15.3 a 351TOPS\/W and 372.4GOPS Compute-in-Memory SRAM macro in 7nm FinFET CMOS for machine-learning applications","author":"dong","year":"2020","journal-title":"IEEE Int Solid-State Circuits Conf (ISSCC) Dig Tech Papers"},{"key":"ref24","first-page":"1","article-title":"Recurrent neural network based language model","author":"mikolov","year":"2010","journal-title":"Annu Conf Int Speech Commun Assoc"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2014.6855225"},{"key":"ref26","first-page":"374","article-title":"Distance measures for speech recognition, psychological and instrumental","volume":"116","author":"mermelstein","year":"1976","journal-title":"Pattern Recognit Artif Intell"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1038\/323533a0"}],"container-title":["IEEE Journal of Solid-State Circuits"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/4\/9466892\/09239367.pdf?arnumber=9239367","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T14:54:56Z","timestamp":1652194496000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9239367\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,7]]},"references-count":30,"journal-issue":{"issue":"7"},"URL":"https:\/\/doi.org\/10.1109\/jssc.2020.3029586","relation":{},"ISSN":["0018-9200","1558-173X"],"issn-type":[{"value":"0018-9200","type":"print"},{"value":"1558-173X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,7]]}}}