Energy-Efficient Approximate Speech Signal Processing for Wearable Devices
- Title
- Energy-Efficient Approximate Speech Signal Processing for Wearable Devices
- Author
- 신규식
- Keywords
- Wearable devices; Audio signal processing; Approximate computing; Approximate multiplier; Successive approximate register ADC
- Issue Date
- 2017-04
- Publisher
- ELECTRONICS TELECOMMUNICATIONS RESEARCH INST
- Citation
- ETRI JOURNAL, v. 39, No. 2, Page. 145-150
- Abstract
- As wearable devices are powered by batteries, they need to consume as little energy as possible. To address this challenge, in this article, we propose a synergistic technique for energy-efficient approximate speech signal processing (ASSP) for wearable devices. More specifically, to enable the efficient trade-off between energy consumption and sound quality, we synergistically integrate an approximate multiplier and a successive approximate register analog-to-digital converter using our enhanced conversion algorithm. The proposed ASSP technique provides similar to 40% lower energy consumption with similar to 5% higher sound quality than a traditional one that optimizes only the bit width of SSP.
- URI
- https://onlinelibrary.wiley.com/doi/full/10.4218/etrij.17.0116.0462https://repository.hanyang.ac.kr/handle/20.500.11754/103264
- ISSN
- 1225-6463; 2233-7326
- DOI
- 10.4218/etrij.17.0116.0462
- Appears in Collections:
- COLLEGE OF ENGINEERING SCIENCES[E](공학대학) > ROBOT ENGINEERING(로봇공학과) > Articles
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