Speech Recognition Using Intelligent Piezoresistive Sensor Based on Polystyrene Sphere Microstructures
Rapid advances in wearable sensing technology have demonstrated unprecedented opportunities for artificial intelligence. In comparison with the traditional hand‐held electrolarynx, a wearable and intelligent artificial throat with sound‐sensing ability is a more comfortable and versatile method to a...
| Main Authors: | , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2023-07-01
|
| Series: | Advanced Intelligent Systems |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/aisy.202200427 |
| _version_ | 1827894110035378176 |
|---|---|
| author | Yuchi Liu Huaiyu Li Xiangpeng Liang Haitao Deng Xinran Zhang Hadi Heidari Rami Ghannam Xiaosheng Zhang |
| author_facet | Yuchi Liu Huaiyu Li Xiangpeng Liang Haitao Deng Xinran Zhang Hadi Heidari Rami Ghannam Xiaosheng Zhang |
| author_sort | Yuchi Liu |
| collection | DOAJ |
| description | Rapid advances in wearable sensing technology have demonstrated unprecedented opportunities for artificial intelligence. In comparison with the traditional hand‐held electrolarynx, a wearable and intelligent artificial throat with sound‐sensing ability is a more comfortable and versatile method to assist disabled people with communication. Herein, a piezoresistive sensor with a novel configuration is demonstrated, which consists of polystyrene (PS) spheres as microstructures sandwiched between silver nanowires and reduced graphene oxide layers. In fact, changes in the device's conducting patterns are obtained by spay‐coating the various weight ratios and sizes of the PS microspheres, which is a fast and convenient way to establish microstructures for improving sensitivity. The wearable artificial throat device also exhibits high sensitivity, fast response time, and ultralow intensity level detection. Moreover, the device's excellent mechanical–electrical performance allows it to detect subtle throat vibrations that can be converted into controllable sounds. In this case, an intelligent artificial throat is achieved by combining a deep learning algorithm with a highly flexible piezoresistive sensor to successfully recognize five different words (help, sick, patient, doctor, and COVID) with an accuracy exceeding 96%. Herein, new opportunities in voice control as well as other human‐machine interface applications are opened. |
| first_indexed | 2024-03-12T22:01:57Z |
| format | Article |
| id | doaj.art-4118d4147c8e459e8f45c8d143a8f1cc |
| institution | Directory Open Access Journal |
| issn | 2640-4567 |
| language | English |
| last_indexed | 2024-03-12T22:01:57Z |
| publishDate | 2023-07-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advanced Intelligent Systems |
| spelling | doaj.art-4118d4147c8e459e8f45c8d143a8f1cc2023-07-25T05:32:26ZengWileyAdvanced Intelligent Systems2640-45672023-07-0157n/an/a10.1002/aisy.202200427Speech Recognition Using Intelligent Piezoresistive Sensor Based on Polystyrene Sphere MicrostructuresYuchi Liu0Huaiyu Li1Xiangpeng Liang2Haitao Deng3Xinran Zhang4Hadi Heidari5Rami Ghannam6Xiaosheng Zhang7School of Electronic Science and Engineering University of Electronic Science and Technology of China Chengdu 611731 ChinaSchool of Electronic Science and Engineering University of Electronic Science and Technology of China Chengdu 611731 ChinaJames Watts School of Engineering University of Glasgow Glasgow G12 8QQ UKSchool of Electronic Science and Engineering University of Electronic Science and Technology of China Chengdu 611731 ChinaSchool of Electronic Science and Engineering University of Electronic Science and Technology of China Chengdu 611731 ChinaJames Watts School of Engineering University of Glasgow Glasgow G12 8QQ UKJames Watts School of Engineering University of Glasgow Glasgow G12 8QQ UKSchool of Electronic Science and Engineering University of Electronic Science and Technology of China Chengdu 611731 ChinaRapid advances in wearable sensing technology have demonstrated unprecedented opportunities for artificial intelligence. In comparison with the traditional hand‐held electrolarynx, a wearable and intelligent artificial throat with sound‐sensing ability is a more comfortable and versatile method to assist disabled people with communication. Herein, a piezoresistive sensor with a novel configuration is demonstrated, which consists of polystyrene (PS) spheres as microstructures sandwiched between silver nanowires and reduced graphene oxide layers. In fact, changes in the device's conducting patterns are obtained by spay‐coating the various weight ratios and sizes of the PS microspheres, which is a fast and convenient way to establish microstructures for improving sensitivity. The wearable artificial throat device also exhibits high sensitivity, fast response time, and ultralow intensity level detection. Moreover, the device's excellent mechanical–electrical performance allows it to detect subtle throat vibrations that can be converted into controllable sounds. In this case, an intelligent artificial throat is achieved by combining a deep learning algorithm with a highly flexible piezoresistive sensor to successfully recognize five different words (help, sick, patient, doctor, and COVID) with an accuracy exceeding 96%. Herein, new opportunities in voice control as well as other human‐machine interface applications are opened.https://doi.org/10.1002/aisy.202200427deep learninghuman–machine interfaceintelligent artificial throatpiezoresistive sensorspeech recognition |
| spellingShingle | Yuchi Liu Huaiyu Li Xiangpeng Liang Haitao Deng Xinran Zhang Hadi Heidari Rami Ghannam Xiaosheng Zhang Speech Recognition Using Intelligent Piezoresistive Sensor Based on Polystyrene Sphere Microstructures Advanced Intelligent Systems deep learning human–machine interface intelligent artificial throat piezoresistive sensor speech recognition |
| title | Speech Recognition Using Intelligent Piezoresistive Sensor Based on Polystyrene Sphere Microstructures |
| title_full | Speech Recognition Using Intelligent Piezoresistive Sensor Based on Polystyrene Sphere Microstructures |
| title_fullStr | Speech Recognition Using Intelligent Piezoresistive Sensor Based on Polystyrene Sphere Microstructures |
| title_full_unstemmed | Speech Recognition Using Intelligent Piezoresistive Sensor Based on Polystyrene Sphere Microstructures |
| title_short | Speech Recognition Using Intelligent Piezoresistive Sensor Based on Polystyrene Sphere Microstructures |
| title_sort | speech recognition using intelligent piezoresistive sensor based on polystyrene sphere microstructures |
| topic | deep learning human–machine interface intelligent artificial throat piezoresistive sensor speech recognition |
| url | https://doi.org/10.1002/aisy.202200427 |
| work_keys_str_mv | AT yuchiliu speechrecognitionusingintelligentpiezoresistivesensorbasedonpolystyrenespheremicrostructures AT huaiyuli speechrecognitionusingintelligentpiezoresistivesensorbasedonpolystyrenespheremicrostructures AT xiangpengliang speechrecognitionusingintelligentpiezoresistivesensorbasedonpolystyrenespheremicrostructures AT haitaodeng speechrecognitionusingintelligentpiezoresistivesensorbasedonpolystyrenespheremicrostructures AT xinranzhang speechrecognitionusingintelligentpiezoresistivesensorbasedonpolystyrenespheremicrostructures AT hadiheidari speechrecognitionusingintelligentpiezoresistivesensorbasedonpolystyrenespheremicrostructures AT ramighannam speechrecognitionusingintelligentpiezoresistivesensorbasedonpolystyrenespheremicrostructures AT xiaoshengzhang speechrecognitionusingintelligentpiezoresistivesensorbasedonpolystyrenespheremicrostructures |