DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, Kwantae | ko |
dc.contributor.author | Gao, Chang | ko |
dc.contributor.author | Graca, Rui | ko |
dc.contributor.author | Kiselev, Ilya | ko |
dc.contributor.author | Yoo, Hoi-Jun | ko |
dc.contributor.author | Delbruck, Tobi | ko |
dc.contributor.author | Liu, Shih-Chii | ko |
dc.date.accessioned | 2022-12-04T03:00:10Z | - |
dc.date.available | 2022-12-04T03:00:10Z | - |
dc.date.created | 2022-12-04 | - |
dc.date.created | 2022-12-04 | - |
dc.date.created | 2022-12-04 | - |
dc.date.issued | 2022-11 | - |
dc.identifier.citation | IEEE JOURNAL OF SOLID-STATE CIRCUITS, v.57, no.11, pp.3298 - 3311 | - |
dc.identifier.issn | 0018-9200 | - |
dc.identifier.uri | http://hdl.handle.net/10203/301558 | - |
dc.description.abstract | This article presents the first keyword spotting (KWS) IC that uses a ring-oscillator-based time-domain processing technique for its analog feature extractor (FEx). Its extensive usage of time-encoding schemes allows the analog audio signal to be processed in a fully time-domain manner except for the voltage-to-time conversion stage of the analog front end. Benefiting from fundamental building blocks based on digital logic gates, it offers better technology scalability compared to conventional voltage-domain designs. Fabricated in a 65-nm CMOS process, the prototyped KWS IC occupies 2.03 mm(2) and dissipates 23-SW power consumption, including analog FEx and digital neural network classifier. The 16-channel time-domain FEx achieves a 54.89-dB dynamic range for 16-ms frame shift size while consuming 9.3 mu W. The measurement result verifies that the proposed IC performs a 12-class KWS task on the Google Speech Command dataset (GSCD) with >86% accuracy and 12.4-ms latency. | - |
dc.language | English | - |
dc.publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | - |
dc.title | A 23-mu W Keyword Spotting IC With Ring-Oscillator-Based Time-Domain Feature Extraction | - |
dc.type | Article | - |
dc.identifier.wosid | 000846338800001 | - |
dc.identifier.scopusid | 2-s2.0-85136861304 | - |
dc.type.rims | ART | - |
dc.citation.volume | 57 | - |
dc.citation.issue | 11 | - |
dc.citation.beginningpage | 3298 | - |
dc.citation.endingpage | 3311 | - |
dc.citation.publicationname | IEEE JOURNAL OF SOLID-STATE CIRCUITS | - |
dc.identifier.doi | 10.1109/JSSC.2022.3195610 | - |
dc.contributor.localauthor | Yoo, Hoi-Jun | - |
dc.contributor.nonIdAuthor | Gao, Chang | - |
dc.contributor.nonIdAuthor | Graca, Rui | - |
dc.contributor.nonIdAuthor | Kiselev, Ilya | - |
dc.contributor.nonIdAuthor | Delbruck, Tobi | - |
dc.contributor.nonIdAuthor | Liu, Shih-Chii | - |
dc.description.isOpenAccess | N | - |
dc.type.journalArticle | Article | - |
dc.subject.keywordAuthor | Analog | - |
dc.subject.keywordAuthor | bandpass filter (BPF) | - |
dc.subject.keywordAuthor | classifier | - |
dc.subject.keywordAuthor | feature extractor (FEx) | - |
dc.subject.keywordAuthor | Google Speech Command dataset (GSCD) | - |
dc.subject.keywordAuthor | keyword spotting (KWS) | - |
dc.subject.keywordAuthor | rectifier | - |
dc.subject.keywordAuthor | recurrent neural network (RNN) | - |
dc.subject.keywordAuthor | ring oscillator | - |
dc.subject.keywordAuthor | time domain | - |
dc.subject.keywordPlus | VOLTAGE-CONTROLLED OSCILLATOR | - |
dc.subject.keywordPlus | NOISE | - |
dc.subject.keywordPlus | DESIGN | - |
dc.subject.keywordPlus | AMPLIFIER | - |
dc.subject.keywordPlus | CHIP | - |
dc.subject.keywordPlus | ADC | - |
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