Next Article in Journal
Implementation of a Long Short-Term Memory Neural Network-Based Algorithm for Dynamic Obstacle Avoidance
Next Article in Special Issue
Design and Manufacture of Multifunctional 3-D Smart Skins with Embedded Sensor Networks for Robotic Applications
Previous Article in Journal
Electric Susceptibility at Partial Coverage of a Circular One-Side Access Capacitive Sensor with Rigid Polyurethane Foams
Previous Article in Special Issue
Transformer Monitoring with Electromagnetic Energy Transmission and Wireless Sensing
 
 
Article
Peer-Review Record

Flexible Self-Powered Low-Decibel Voice Recognition Mask

Sensors 2024, 24(10), 3007; https://doi.org/10.3390/s24103007
by Jianing Li 1, Yating Shi 1, Jianfeng Chen 1, Qiaoling Huang 1,2, Meidan Ye 1 and Wenxi Guo 1,2,*
Reviewer 1:
Reviewer 3: Anonymous
Sensors 2024, 24(10), 3007; https://doi.org/10.3390/s24103007
Submission received: 26 March 2024 / Revised: 22 April 2024 / Accepted: 23 April 2024 / Published: 9 May 2024
(This article belongs to the Special Issue Advances in Flexible Self-Powered Electronics Sensors)

Round 1

Reviewer 1 Report

Comments and Suggestions for Authors

The study introduces a novel application of triboelectric nanogenerators in voice recognition; however, it requires significant enhancement in terms of experimental detail, data analysis, practical application considerations, and theoretical underpinnings. Additionally, the manuscript would benefit from a thorough language review to ensure clarity and precision. A major revision will allow the authors to address these concerns comprehensively, thereby strengthening the contribution of their research to the field.

1)While the integration of a triboelectric nanogenerator (TENG) into a voice recognition mask is an interesting approach, the paper could benefit from a more rigorous discussion on the innovation compared to existing solutions. The authors should clarify how their device outperforms or differs significantly from current noise-cancellation and voice recognition technologies.

2)The experimental section provides a general overview of the device's construction and testing. However, the lack of detailed experimental protocols, such as specific conditions for the tests (e.g., humidity, temperature), could leave room for questions regarding the reproducibility of the results. The authors should include comprehensive details to allow for independent validation of their findings.

3)The results section should include a critical analysis of the data, including the limitations of the current design and potential sources of variability. The authors should discuss any discrepancies between expected and observed results and how these were addressed.

4)The paper would benefit from a more thorough graphical representation of the data. For instance, graphical comparison of the CS-TENG's performance metrics with those of other voice recognition technologies could provide a clearer picture of its advantages and disadvantages.

Author Response

Please see the attached response document

Author Response File: Author Response.pdf

Reviewer 2 Report

Comments and Suggestions for Authors

The manuscript is well written with detailed data analysis and results with s scope for relevant applications.

1.       What is the basis for the author’s claim that PU-modified SF films are biocompatible? Is it the evidence from Figure C – biocompatible cell counting or any other literature reference?

2.       The authors in reference 41 have used similar materials with PU and PTFE configurations to fabricate the sensors for their measurements still achieving the same quality. How does the present work advance the materials fabrication other than adding biocompatible, treated SF and how does this material improve the quality of measurement or sensor?

3.       Is there any specific reason for not including different age groups of individuals  or non-native English speakers for recognition and voice analysis?

4.       How do you list and define the characteristics or unique features of these sensors?

 

5.       The material fabrication adopted by the authors has a lot of similarities with some of the recent articles from the literature i.e. Chaoran Liu, Yishao Wang, Nan Zhang, Xun Yang, Zuankai Wang, Libo Zhao, Weihuang Yang, Linxi Dong, Lufeng Che, Gaofeng Wang, Xiaofeng Zhou, A self-powered and high sensitivity acceleration sensor with V-Q-a model based on triboelectric nanogenerators (TENGs), Nano Energy, Volume 67,2020,104228, ISSN 2211-2855, https://doi.org/10.1016/j.nanoen.2019.104228

Author Response

Please see the attached response document

Author Response File: Author Response.pdf

Reviewer 3 Report

Comments and Suggestions for Authors

this manuscript  provides a new approach and method for the development and application of speech recognition technology. By utilizing CS-TENG's vibration signals for speech recognition. it is very interesting and There are several issues to be addressed before being published.

1. It is suggested that the authors can give some comparisons to previous work with this work and make a table or diagram.

2. What is the stability of device? authors has shown the Working repeatability and durability after 30 days,how about after more days?

3. there are writing errors. like um.

Author Response

Please see the attached response document

Author Response File: Author Response.pdf

Round 2

Reviewer 1 Report

Comments and Suggestions for Authors

All concerns addressed. Suggest accept as is. 

Back to TopTop