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Review
. 2020 Sep;32(35):e1904020.
doi: 10.1002/adma.201904020. Epub 2019 Oct 16.

Flexible Piezoelectric Acoustic Sensors and Machine Learning for Speech Processing

Young Hoon Jung  1 , Seong Kwang Hong  1 , Hee Seung Wang  1 , Jae Hyun Han  1 , Trung Xuan Pham  2 , Hyunsin Park  2 , Junyeong Kim  2 , Sunghun Kang  2 , Chang D Yoo  2 , Keon Jae Lee  1
Affiliations
Review

Flexible Piezoelectric Acoustic Sensors and Machine Learning for Speech Processing

Young Hoon Jung et al. Adv Mater. 2020 Sep.

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.

Keywords: acoustic sensors; flexible piezoelectrics; machine learning algorithm; speech processing.

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