Zobrazeno 1 - 10
of 94
pro vyhledávání: '"Chen Jer-Ming"'
This study evaluates the use of machine learning, specifically the Random Forest Classifier, to differentiate normal and pathological swallowing sounds. Employing a commercially available wearable stethoscope, we recorded swallows from both healthy a
Externí odkaz:
http://arxiv.org/abs/2407.05870
Publikováno v:
Acta Acustica, Vol 7, p 62 (2023)
Quantifying auditory perception of blending between sound sources is a relevant topic in music perception, but remains poorly explored due to its complex and multidimensional nature. Previous studies were able to explain the source-level blending in
Externí odkaz:
https://doaj.org/article/463e075bf730407aa772171a47c30902
Autor:
T, Balamurali B, Chen, Jer-Ming
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:
http://arxiv.org/abs/2402.01751
Autor:
T, Balamurali B, Hee, Hwan Ing, Kapoor, Saumitra, Teoh, Oon Hoe, Teng, Sung Shin, Lee, Khai Pin, Herremans, Dorien, Chen, Jer Ming
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:
http://arxiv.org/abs/2106.12174
Autor:
B.T, Balamurali1 (AUTHOR) balamurali_bt@sutd.edu.sg, Chen, Jer-Ming1 (AUTHOR) balamurali_bt@sutd.edu.sg
Publikováno v:
Diagnostics (2075-4418). Apr2024, Vol. 14 Issue 8, p817. 13p.
Autor:
Tan, Da Yang, Chen, Jer-Ming
The onset of the COVID-19 pandemic in 2020 has greatly impacted all forms of social activities globally, including traditional classroom activities across all levels of instruction (kindergarten to universities). While many countries have opted for s
Externí odkaz:
http://arxiv.org/abs/2009.02705
Autor:
T, Balamurali B, Aslim, Edwin Jonathan, Ng, Yun Shu Lynn, Li, Tricia, Kuo, Chuen, Chen, Jacob Shihang, Herremans, Dorien, Ng, Lay Guat, Chen, Jer-Ming
Publikováno v:
Proceedings of the IEEE International Conference on Signal Processing and Communications (SPCOM), 2020
Information on liquid jet stream flow is crucial in many real world applications. In a large number of cases, these flows fall directly onto free surfaces (e.g. pools), creating a splash with accompanying splashing sounds. The sound produced is suppl
Externí odkaz:
http://arxiv.org/abs/2006.09016
Publikováno v:
IEEE Access. 2019
Automatic speaker verification, like every other biometric system, is vulnerable to spoofing attacks. Using only a few minutes of recorded voice of a genuine client of a speaker verification system, attackers can develop a variety of spoofing attacks
Externí odkaz:
http://arxiv.org/abs/1905.12439
Autor:
Lee, Han Jie, Aslim, Edwin Jonathan, Balamurali, B.T., Ng, Lynn Yun Shu, Kuo, Tricia Li Chuen, Lin, Cindy Ming Ying, Clarke, Christopher Johann, Priyadarshinee, Prachee, Chen, Jer-Ming, Ng, Lay Guat
Publikováno v:
In European Urology Focus January 2023 9(1):209-215
Autor:
Lu, Hao-wei, Yu, Xiao-Peng, Wang, Si-Qi, Liu, Yu-Yan, Huang, Zhen-Yan, Lu, Zheng-Hao, Yeo, Kiat-Seng, Chen, Jer-Ming
Publikováno v:
In Microelectronics Journal August 2021 114