Zobrazeno 1 - 10
of 67
pro vyhledávání: '"Jer-Ming Chen"'
Autor:
Balamurali B.T, Jer-Ming Chen
Publikováno v:
Diagnostics, Vol 14, Iss 8, p 817 (2024)
Large language models (LLMs) find increasing applications in many fields. Here, three LLM chatbots (ChatGPT-3.5, ChatGPT-4, and Bard) are assessed in their current form, as publicly available, for their ability to recognize Alzheimer’s dementia (AD
Externí odkaz:
https://doaj.org/article/3d436a8c7e0d4086b4b52dd194501e69
Autor:
Prachee Priyadarshinee, Christopher Johann Clarke, Jan Melechovsky, Cindy Ming Ying Lin, Balamurali B. T., Jer-Ming Chen
Publikováno v:
Applied Sciences, Vol 13, Iss 7, p 4244 (2023)
Automated techniques to detect Alzheimer’s Dementia through the use of audio recordings of spontaneous speech are now available with varying degrees of reliability. Here, we present a systematic comparison across different modalities, granularities
Externí odkaz:
https://doaj.org/article/253577c039fb4e92bf61a54f8571663d
Vocal Tract Resonance Detection at Low Frequencies: Improving Physical and Transducer Configurations
Publikováno v:
Sensors, Vol 23, Iss 2, p 939 (2023)
Broadband excitation introduced at the speaker’s lips and the evaluation of its corresponding relative acoustic impedance spectrum allow for fast, accurate and non-invasive estimations of vocal tract resonances during speech and singing. However, d
Externí odkaz:
https://doaj.org/article/da4ad3e696f7451da54e14b1d6dc58e0
Publikováno v:
IEEE Access, Vol 7, Pp 84229-84241 (2019)
Automatic speaker verification, such as every other biometric system, is vulnerable to spoofing attacks. Using only a few minutes of recorded voice from a genuine client of a speaker verification system, attackers can develop a variety of spoofing at
Externí odkaz:
https://doaj.org/article/172b4332e648418282916656b172c5b5
Publikováno v:
Applied Sciences, Vol 11, Iss 11, p 4834 (2021)
Many mobile electronics devices, including smartphones and tablets, require the user to interact physically with the device via tapping the touchscreen. Conveniently, these compact devices are also equipped with high-precision transducers such as acc
Externí odkaz:
https://doaj.org/article/b983f55b42694767850299e82e782f76
Autor:
Liying Cai, Xiong Song, Zhenghao Lu, Xiao-Peng Yu, Kiat-Seng Yeo, Jer-Ming Chen, Bharatha Kumar Thangarasu
Publikováno v:
IEEE Transactions on Circuits and Systems I: Regular Papers. :1-10
Publikováno v:
The Journal of the Acoustical Society of America. 153:40-49
Nanofiber-porous systems comprising a porous substrate overlaid with nanofiber weave offer the potential for higher acoustic absorption than the substrate alone with negligible increase in thickness. The characterization of nanofibers from acoustic m
Autor:
Claire Tham, Robin Yeo, Visshal Natarajan, Tianqin Zhang, Jer-Ming Chen, Lakshminarasimhan Krishnaswamy, Da Yang Tan
Publikováno v:
The Physics Teacher. 60:748-751
In this article, we demonstrate the use of a simple pendulum to explore the concepts of kinematics and dynamics. A simple homemade pendulum and a phone-based accelerometer are used to determine, at various points in time, the acceleration of a moving
Autor:
B T Balamurali, Hwan Ing Hee, Saumitra Kapoor, Oon Hoe Teoh, Sung Shin Teng, Khai Pin Lee, Dorien Herremans, Jer Ming Chen
Publikováno v:
Sensors, Vol 21, Iss 16, p 5555 (2021)
Intelligent systems are transforming the world, as well as our healthcare system. We propose a deep learning-based cough sound classification model that can distinguish between children with healthy versus pathological coughs such as asthma, upper re
Externí odkaz:
https://doaj.org/article/e3e901a6dbc94496b6feefa6b7340c1a
Autor:
Christopher Johann Clarke, Jatin Chowdhury, Cindy Ming Ying Lin, Ivan Fu Xing Tan, Prachee Priyadarshinee, Balamurali BT, Dorien Herremans, Jer-Ming Chen
Publikováno v:
Proceedings of the Conference on Research in Adaptive and Convergent Systems.