An Aerosol Jet-Printed Wearable Graphene/Cellulose Nanocrystal Acoustic Sensor for Speech Recognition

Wearable acoustic sensors offer a promising solution for effective communication for individuals with speech impairments by calibrating throat vibrations and converting them to synthesized speech. We developed a new type of piezoresistive acoustic sensor that is additively manufactured with polyurethane (PU) film-encapsulated graphene/cellulose nanocrystals (CNCs) via aerosol jet printing. Featuring a high degree of biocompatibility and flexibility, the sensor is capable of accurately measuring varying sound pressure levels (SPLs). Results have demonstrated that the acoustic sensitivity of the sensor can be regulated by changing the graphene concentration, and the sensor with the 20 wt. % of graphene concentration manifests the high sensitivity of 9.7 × 10<sup>-6</sup> dB<sup>-1</sup>, a broad working range from 30 to 90 dB, and a minimum resolution for SPL change of 10 dB, along with a linear correlation between SPL and the resistance change measured by the sensor. When adhered to the throat of a study participant as a wearable device, the sensor faithfully captures subtle vocal characteristics including timbre and rhythm. Integrated with a support vector machine (SVM)-based machine learning algorithm, the device achieves a high accuracy of 95.9% when used to recognize digits (0-9), assisting people with speech difficulties to communicate in a digital manner.

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Publication Details

Journal
ACS Sensors
Published
2025-10-23
DOI
https://doi.org/10.1021/acssensors.5c02157
Citations
3
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
2.02
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article

An Aerosol Jet-Printed Wearable Graphene/Cellulose Nanocrystal Acoustic Sensor for Speech Recognition

Ming Ma, Guojie Luo, Yanfeng Lang, Limin Zhou et al.
3 citations
ACS Sensors
Advanced Sensor and Energy Harvesting Materials
2.02
article

An Aerosol Jet-Printed Wearable Graphene/Cellulose Nanocrystal Acoustic Sensor for Speech Recognition

Ming Ma, Guojie Luo, Yanfeng Lang, Limin Zhou, Wanglinhan Zhang, Pengfei Li, Qingqing Wang, Zhongqing Su, Qi Yuan
article en
3 citations

Abstract

Wearable acoustic sensors offer a promising solution for effective communication for individuals with speech impairments by calibrating throat vibrations and converting them to synthesized speech. We developed a new type of piezoresistive acoustic sensor that is additively manufactured with polyurethane (PU) film-encapsulated graphene/cellulose nanocrystals (CNCs) via aerosol jet printing. Featuring a high degree of biocompatibility and flexibility, the sensor is capable of accurately measuring varying sound pressure levels (SPLs). Results have demonstrated that the acoustic sensitivity of the sensor can be regulated by changing the graphene concentration, and the sensor with the 20 wt. % of graphene concentration manifests the high sensitivity of 9.7 × 10<sup>-6</sup> dB<sup>-1</sup>, a broad working range from 30 to 90 dB, and a minimum resolution for SPL change of 10 dB, along with a linear correlation between SPL and the resistance change measured by the sensor. When adhered to the throat of a study participant as a wearable device, the sensor faithfully captures subtle vocal characteristics including timbre and rhythm. Integrated with a support vector machine (SVM)-based machine learning algorithm, the device achieves a high accuracy of 95.9% when used to recognize digits (0-9), assisting people with speech difficulties to communicate in a digital manner.

ACS SensorsVol. 10(11)
Hong Kong Polytechnic University (HK), Northwestern Polytechnical University (CN), Southern University of Science and Technology (CN), Plasma Technology (United States) (US), Xi'an Jiaotong University (CN)
Openalex Percentile: Top 12%
Advanced Sensor and Energy Harvesting Materials
2.02
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