Literature DB >> 31617274

Flexible Piezoelectric Acoustic Sensors and Machine Learning for Speech Processing.

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.
© 2019 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

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


  14 in total

Review 1.  Advanced Implantable Biomedical Devices Enabled by Triboelectric Nanogenerators.

Authors:  Chan Wang; Qiongfeng Shi; Chengkuo Lee
Journal:  Nanomaterials (Basel)       Date:  2022-04-15       Impact factor: 5.719

2.  A versatile acoustically active surface based on piezoelectric microstructures.

Authors:  Jinchi Han; Mayuran Saravanapavanantham; Matthew R Chua; Jeffrey H Lang; Vladimir Bulović
Journal:  Microsyst Nanoeng       Date:  2022-05-26       Impact factor: 8.006

3.  Biomimetic and flexible piezoelectric mobile acoustic sensors with multiresonant ultrathin structures for machine learning biometrics.

Authors:  Hee Seung Wang; Seong Kwang Hong; Jae Hyun Han; Young Hoon Jung; Hyun Kyu Jeong; Tae Hong Im; Chang Kyu Jeong; Bo-Yeon Lee; Gwangsu Kim; Chang D Yoo; Keon Jae Lee
Journal:  Sci Adv       Date:  2021-02-12       Impact factor: 14.136

4.  Pushing detectability and sensitivity for subtle force to new limits with shrinkable nanochannel structured aerogel.

Authors:  Xinlei Shi; Xiangqian Fan; Yinbo Zhu; Yang Liu; Peiqi Wu; Renhui Jiang; Bao Wu; Heng-An Wu; He Zheng; Jianbo Wang; Xinyi Ji; Yongsheng Chen; Jiajie Liang
Journal:  Nat Commun       Date:  2022-03-02       Impact factor: 14.919

5.  Two-stage amplification of an ultrasensitive MXene-based intelligent artificial eardrum.

Authors:  Guang-Yang Gou; Xiao-Shi Li; Jin-Ming Jian; He Tian; Fan Wu; Jie Ren; Xiang-Shun Geng; Jian-Dong Xu; Yan-Cong Qiao; Zhao-Yi Yan; Guanhua Dun; Chi Won Ahn; Yi Yang; Tian-Ling Ren
Journal:  Sci Adv       Date:  2022-03-30       Impact factor: 14.136

6.  Ultralight Iontronic Triboelectric Mechanoreceptor with High Specific Outputs for Epidermal Electronics.

Authors:  Hai Lu Wang; Zi Hao Guo; Xiong Pu; Zhong Lin Wang
Journal:  Nanomicro Lett       Date:  2022-03-29

7.  Active-Sensing Epidermal Stretchable Bioelectronic Patch for Noninvasive, Conformal, and Wireless Tendon Monitoring.

Authors:  Sheng Shu; Jie An; Pengfei Chen; Di Liu; Ziming Wang; Chengyu Li; Shuangzhe Zhang; Yuan Liu; Jianzhe Luo; Lulu Zu; Wei Tang; Zhong Lin Wang
Journal:  Research (Wash D C)       Date:  2021-06-21

Review 8.  Development Trends and Perspectives of Future Sensors and MEMS/NEMS.

Authors:  Jianxiong Zhu; Xinmiao Liu; Qiongfeng Shi; Tianyiyi He; Zhongda Sun; Xinge Guo; Weixin Liu; Othman Bin Sulaiman; Bowei Dong; Chengkuo Lee
Journal:  Micromachines (Basel)       Date:  2019-12-18       Impact factor: 2.891

Review 9.  Progress on Self-Powered Wearable and Implantable Systems Driven by Nanogenerators.

Authors:  Lanxin Yang; Zhihao Ma; Yun Tian; Bo Meng; Zhengchun Peng
Journal:  Micromachines (Basel)       Date:  2021-06-07       Impact factor: 2.891

10.  Optimizing Piezoelectric Nanocomposites by High-Throughput Phase-Field Simulation and Machine Learning.

Authors:  Weixiong Li; Tiannan Yang; Changshu Liu; Yuhui Huang; Chunxu Chen; Hong Pan; Guangzhong Xie; Huiling Tai; Yadong Jiang; Yongjun Wu; Zhao Kang; Long-Qing Chen; Yuanjie Su; Zijian Hong
Journal:  Adv Sci (Weinh)       Date:  2022-03-11       Impact factor: 17.521

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