A 40nm CMOS SoC for Real-Time Dysarthric Voice Conversion of Stroke Patients

Tay Jyi Lin, Chen Zong Liao, You Jia Hu, Wei Cheng Hsu, Zheng Xian Wu, Shao Yu Wang, Chun Ming Huang, Ying Hui Lai, Chingwei Yeh, Jinn Shyan Wang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

This paper presents the first dysarthric voice conversion SoC, which can translate stroke patients' voice into more intelligible and clearer speech in real time. The SoC is composed of a RISC-V MPU and a compact DNN engine with a single 16-bit multiply-accumulator, which improves 12x performance and > 100x energy efficiency, and has been implemented in 40nm CMOS. The silicon area is 0.68×0.79mm2, and the measured power is 18.4mW for converting 3-sec dysarthric voice within 0.5 sec (at 200MHz and 0.8V) and 4.8mW for conversion < 1 sec (at 100MHz and 0.6V).

Original languageEnglish
Title of host publicationASP-DAC 2022 - 27th Asia and South Pacific Design Automation Conference, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages7-8
Number of pages2
ISBN (Electronic)9781665421355
DOIs
StatePublished - 2022
Event27th Asia and South Pacific Design Automation Conference, ASP-DAC 2022 - Virtual, Online, Taiwan
Duration: 17 Jan 202220 Jan 2022

Publication series

NameProceedings of the Asia and South Pacific Design Automation Conference, ASP-DAC
Volume2022-January

Conference

Conference27th Asia and South Pacific Design Automation Conference, ASP-DAC 2022
Country/TerritoryTaiwan
CityVirtual, Online
Period17/01/2220/01/22

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