| Literature DB >> 31617274 |
Young Hoon Jung1, Seong Kwang Hong1, Hee Seung Wang1, Jae Hyun Han1, Trung Xuan Pham2, Hyunsin Park2, Junyeong Kim2, Sunghun Kang2, Chang D Yoo2, Keon Jae Lee1.
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
Mesh:
Year: 2019 PMID: 31617274 DOI: 10.1002/adma.201904020
Source DB: PubMed Journal: Adv Mater ISSN: 0935-9648 Impact factor: 30.849