Abstract
Human voice recognition techniques have remarkable potential for clinical applications because information from acoustic signals can reflect human body conditions. This paper reports the fabrication of Ag nanocrystal (NC)-based multiaxial wearable strain gauge sensors by ink-lithography for voice recognition systems. Benefiting from the one-step-device-fabrication strategy of ink-lithography, which can yield Ag NC patterns with specific dimensions and endow physical properties, the Ag NC-based multiaxial strain sensors can be fabricated on an ultrathin substrate (~ 6 μm). Additionally, the coffee-ring effect can be induced onto the Ag NC patterns to realize high sensitivity and angle dependence (gauge factors G0∘ = 11.7 ± 1.2 and G90∘ = 105.5 ± 20.1); moreover, the voice onset time for voice recognition can be detected by the sensors. These features assist in distinguishing between voiced and voiceless plosive contrasts via measurements of contact-based voice onset time differences and can act as a cornerstone for further advancements in wearable sensors as well as voice recognition and analysis. Graphical Abstract: [Figure not available: see fulltext.].
Original language | English |
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Article number | 46 |
Journal | Nano Convergence |
Volume | 9 |
Issue number | 1 |
DOIs | |
Publication status | Published - 2022 Dec |
Bibliographical note
Funding Information:This work was supported by the Creative Materials Discovery Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science and ICT (NRF-2018M3D1A1059001), by the Ministry of Science, ICT and Future Planning (2022R1A2C4001517), by the Korea Government (2020M3H4A3081833), by a Korea University grant, and by the Research Grant of Kwangwoon University in 2020.
Publisher Copyright:
© 2022, The Author(s).
Keywords
- Coffee-ring effect
- Ink-lithography
- Multiaxial sensors
- Silver nanocrystals
- Surface chemistry
- Voice recognition
ASJC Scopus subject areas
- Materials Science(all)
- Engineering(all)