Flexible Piezoelectric Acoustic Sensors and Machine Learning for Speech Processing
- Authors
- Jung, Young Hoon; Hong, Seong Kwang; Wang, Hee Seong; Han, Jae Hyun; Trung Xuan Pham; Park, Hyunsin; Kim, Junyeong; Kang, Sunghun; Yoo, Chang D.; Lee, Keon Jae
- Issue Date
- Sep-2020
- Publisher
- WILEY-V C H VERLAG GMBH
- Keywords
- acoustic sensors; flexible piezoelectrics; machine learning algorithm; speech processing
- Citation
- ADVANCED MATERIALS, v.32, no.35
- Journal Title
- ADVANCED MATERIALS
- Volume
- 32
- Number
- 35
- URI
- https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/63240
- DOI
- 10.1002/adma.201904020
- ISSN
- 0935-9648
1521-4095
- Abstract
- Flexible piezoelectric acoustic sensors have been developed to generate multiple sound signals with high sensitivity, shifting the paradigm of future voice technologies. Speech recognition based on advanced acoustic sensors and optimized machine learning software will play an innovative interface for artificial intelligence (AI) services. Collaboration and novel approaches between both smart sensors and speech algorithms should be attempted to realize a hyperconnected society, which can offer personalized services such as biometric authentication, AI secretaries, and home appliances. Here, representative developments in speech recognition are reviewed in terms of flexible piezoelectric materials, self-powered sensors, machine learning algorithms, and speaker recognition.
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Collections - College of Software > Department of Artificial Intelligence > 1. Journal Articles
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