지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 대한전자공학회 JOURNAL OF SEMICONDUCTOR TECHNOLOGY AND SCIENCE Journal of Semiconductor Technology and Science Vol.23 No.6
- 발행연도
- 2023.12
- 수록면
- 375 - 381 (7page)
- DOI
- 10.5573/JSTS.2023.23.6.375
이용수
초록· 키워드
오류제보하기
A novel low power sound activity monitor (SAM) for fast wake-up is presented. SAM is used for low power consumption of intelligent microphones. An intelligent microphone that responds to user voice commands should operate for 24 hours. Normally, the microphone remains in low power mode when there is no external sound input. While the SAM detects external sound input, the SAM changes from low power mode to normal power mode and the microphone remains in normal power mode. The wake-up time from low power mode to normal power mode should be as short as possible so that user commands are not lost. In addition, power mode switching must be prevented from malfunctioning due to artifacts generated when changing between power modes. Low power and wake-up characteristics are improved by simplifying the SAM structure, and the decision logic is designed to be robust against power switching artifacts. The proposed SAM was designed and fabricated based on a CMOS 0.18 μm process, and its features and performance were measured. The SAM operating at 1.8V consumes 2.5 μW power, and the fast wake-up performance of 96.3 μs is measured.
목차
Abstract
Ⅰ. INTRODUCTION
Ⅱ. ARCHITECTURE AND CIRCUITS
Ⅲ. MEASUREMENT RESULTS
Ⅳ. CONCLUSION
REFERENCES
참고문헌 (11)
참고문헌 신청
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A, Pele., “Voice Assistants Are Benefiting the MEMS Industry,” EE Times EUROPE, Accessed May 14, 2023. https://www.eetimes.eu/voiceassistants-are-benefiting-the-mems-industry/.
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Yang, Y., Lee, B., Cho, J., Kim, S. and Lee, H., “A Digital Capacitive MEMS Microphone for Speech Recognition With Fast Wake-Up Feature Using a Sound Activity Detector,” IEEE Transactions on Circuits and Systems II 67, no. 9, 2020, 1509-1513.
Figueiredo, M., Santos-Tavares, R., Santin, E., Ferreira J., Evans, G., and Goes, J., “A Two-Stage Fully Differential Inverter-Based Self-Biased CMOS Amplifier With High Efficiency,” IEEE Transactions on Circuits and Systems I 58, no. 7, 2011, 1591-1603.
A, Pele., “Voice Assistants Are Benefiting the MEMS Industry,” EE Times EUROPE, Accessed May 14, 2023. https://www.eetimes.eu/voiceassistants-are-benefiting-the-mems-industry/.
Meeker, M., “Internet Trends 2018,” KLEINER PERKINS. Accessed May 13, 2023. https://www.kleinerperkins.com/perspectives/internet-trendsreport-2018/.
Yang, Y., Lee, B., Cho, J., Kim, S. and Lee, H., “A Digital Capacitive MEMS Microphone for Speech Recognition With Fast Wake-Up Feature Using a Sound Activity Detector,” IEEE Transactions on Circuits and Systems II 67, no. 9, 2020, 1509-1513.
Figueiredo, M., Santos-Tavares, R., Santin, E., Ferreira J., Evans, G., and Goes, J., “A Two-Stage Fully Differential Inverter-Based Self-Biased CMOS Amplifier With High Efficiency,” IEEE Transactions on Circuits and Systems I 58, no. 7, 2011, 1591-1603.
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