Zobrazeno 1 - 10
of 57
pro vyhledávání: '"Syu‑Siang Wang"'
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-10 (2023)
Abstract Electroencephalography (EEG) measures changes in neuronal activity and can reveal significant changes from infancy to adulthood concomitant with brain maturation, making it a potential physiological marker of brain maturation and cognition.
Externí odkaz:
https://doaj.org/article/e915c5c62d8a4e5186bca6f5ce0574df
Publikováno v:
Frontiers in Psychiatry, Vol 14 (2024)
IntroductionAttention-deficit/hyperactivity disorder (ADHD) is a prevalent neurodevelopmental disorder affecting children worldwide; however, diagnosing ADHD remains a complex task. Theta/beta ratio (TBR) derived from electroencephalography (EEG) rec
Externí odkaz:
https://doaj.org/article/034526c70fb043e0855d332b1396c42f
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-1 (2024)
Externí odkaz:
https://doaj.org/article/0f8fc8088b21401f8ba66520c4b32d0e
Autor:
Hsiang-Ping Hsu, Zhong-Ren Jiang, Lo-Ya Li, Tsai-Chuan Tsai, Chao-Hsiang Hung, Sheng-Chain Chang, Syu-Siang Wang, Shih-Hau Fang
Publikováno v:
Sensors, Vol 23, Iss 16, p 7029 (2023)
The detection of audio tampering plays a crucial role in ensuring the authenticity and integrity of multimedia files. This paper presents a novel approach to identifying tampered audio files by leveraging the unique Electric Network Frequency (ENF) s
Externí odkaz:
https://doaj.org/article/90afb93404e74d5290c4af1bc2927b16
Publikováno v:
IEEE Open Journal of Engineering in Medicine and Biology, Vol 3, Pp 25-33 (2022)
Goal: Numerous studies had successfully differentiated normal and abnormal voice samples. Nevertheless, further classification had rarely been attempted. This study proposes a novel approach, using continuous Mandarin speech instead of a single vowel
Externí odkaz:
https://doaj.org/article/0bd9f13b3e004a789842be573993bd61
Autor:
Yu-Wen Chen, Kuo-Hsuan Hung, You-Jin Li, Alexander Chao-Fu Kang, Ya-Hsin Lai, Kai-Chun Liu, Szu-Wei Fu, Syu-Siang Wang, Yu Tsao
Publikováno v:
IEEE Access, Vol 10, Pp 46082-46099 (2022)
This study presents a deep learning-based speech signal-processing mobile application known as CITISEN. The CITISEN can perform three functions: speech enhancement (SE), model adaptation (MA), and background noise conversion (BNC), which allow CITISE
Externí odkaz:
https://doaj.org/article/b63b9b86615e46eb8293e39aa85c25fb
Publikováno v:
Frontiers in Genetics, Vol 13 (2022)
Introduction: Attention problems are frequently observed in patients with Prader–Willi syndrome (PWS); however, only few studies have investigated the severity and mechanisms of attention problems in them. In this study, we aim to evaluate dynamic
Externí odkaz:
https://doaj.org/article/4b0733a2a26140f49a509939dec5c398
Publikováno v:
Sensors, Vol 22, Iss 17, p 6634 (2022)
Deep learning techniques such as convolutional neural networks (CNN) have been successfully applied to identify pathological voices. However, the major disadvantage of using these advanced models is the lack of interpretability in explaining the pred
Externí odkaz:
https://doaj.org/article/6d443d2046534f72b6a101c9fb0c7337
Publikováno v:
IEEE Access, Vol 7, Pp 43286-43297 (2019)
Nonnegative matrix factorization (NMF) is a useful decomposition technique for multivariate data. More recently, NMF technology was used as a noise-estimation stage for a Wiener-filtering-based noise reduction (NR) method to improve the quality of no
Externí odkaz:
https://doaj.org/article/6de0021095564949ba9bd4e7e9843d81
Autor:
Tassadaq Hussain, Sabato Marco Siniscalchi, Chi-Chun Lee, Syu-Siang Wang, Yu Tsao, Wen-Hung Liao
Publikováno v:
IEEE Access, Vol 5, Pp 25542-25554 (2017)
In wireless telephony and audio data mining applications, it is desirable that noise suppression can be made robust against changing noise conditions and operates in real time (or faster). The learning effectiveness and speed of artificial neural net
Externí odkaz:
https://doaj.org/article/5b4da39ce3004466ac191ea646e0ba79