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Flexible Piezoelectric Acoustic Sensors and Machine Learning for Speech Processing

Authors
Jung, Young HoonHong, Seong KwangWang, Hee SeongHan, Jae HyunTrung Xuan PhamPark, HyunsinKim, JunyeongKang, SunghunYoo, 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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