生物识别
压电
计算机科学
软件
声学
灵敏度(控制系统)
接口(物质)
认证(法律)
声传感器
人机交互
语音识别
人工智能
电子工程
工程类
电气工程
物理
计算机安全
气泡
最大气泡压力法
并行计算
程序设计语言
作者
Young-Hoon Jung,Seong Kwang Hong,Hee Seung Wang,Jae Hyun Han,Trung X. Pham,Hyunsin Park,Junyeong Kim,Sunghun Kang,Chang D. Yoo,Keon Jae Lee
标识
DOI:10.1002/adma.201904020
摘要
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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