PIEZOELECTRIC MEMS UNVOICED SPEECH-RECOGNITION SENSOR BASED ON ORAL AIRFLOW

被引：0

作者：

Wang, Qi ^{[1
,2
]}

Ruan, Tao ^{[1
,2
]}

Xu, Qingda ^{[1
,2
]}

Shi, Yuzhi ^{[1
]}

Yang, Bin ^{[1
]}

Liu, Jingquan ^{[1
]}

机构：

[1] Shanghai Jiao Tong Univ, Natl Key Lab Sci & Technol Micro Nano Fabricat, Shanghai 200240, Peoples R China

[2] Shanghai Jiao Tong Univ, Dept Micro Nanoelect, Shanghai 200240, Peoples R China

来源：

2022 IEEE 35TH INTERNATIONAL CONFERENCE ON MICRO ELECTRO MECHANICAL SYSTEMS CONFERENCE (MEMS) | 2022年

基金：

国家重点研发计划;

关键词：

Piezoelectric; MEMS; unvoiced; speech recognition; oral airflow; PARYLENE-C;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

We present a piezoelectric microelectromechanical system (MEMS) unvoiced speech-recognition sensor based on oral airflow, which performs well at (i) recognizing words according to their unique voltage-signal characteristics and (ii) avoiding the effects of external sound noise, body movement, long distance, and occlusion compared to the state of the art. Future work will combine machine learning to show what they say on mobile phones, which is expected to be used to serve people with acquired throat injury or serious diseases, weak bodies, unable to speak loudly or in a public quiet environment.

引用

页码：63 / 66

页数：4

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