Back to Search Start Over

Flexible Piezoelectric Acoustic Sensors and Machine Learning for Speech Processing

Authors :
Seong Kwang Hong
Hee Seung Wang
Trung X. Pham
Sunghun Kang
Jae Hyun Han
Younghoon Jung
Junyeong Kim
Chang D. Yoo
Keon Jae Lee
Hyunsin Park
Source :
Advanced Materials. 32:1904020
Publication Year :
2019
Publisher :
Wiley, 2019.

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.

Details

ISSN :
15214095 and 09359648
Volume :
32
Database :
OpenAIRE
Journal :
Advanced Materials
Accession number :
edsair.doi.dedup.....db4bfaa99691950d265bcdacee348135
Full Text :
https://doi.org/10.1002/adma.201904020