325 citations
- Academia SinicaTW47 papers
- National Taiwan UniversityTW30 papers
- Institute of Information Science, Academia SinicaTW20 papers
- National Yang Ming Chiao Tung UniversityTW14 papers
- National Sun Yat-sen UniversityTW10 papers
- National Tsing Hua UniversityTW9 papers
- National Institute of Information and Communications TechnologyJP8 papers
- National Taiwan University of Science and TechnologyTW8 papers
- National Chengchi UniversityTW4 papers
- Singapore University of Technology and DesignSG4 papers
- Virginia TechUS4 papers
- National Taipei University of TechnologyTW3 papers
11 papers · 1 filter
Unsupervised neural adaptation model based on optimal transport for spoken language identification
Xugang Lu, Peng Shen, Yu Tsao +1
Due to the mismatch of statistical distributions of acoustic speech between training and testing sets, the performance of spoken language identification (SLID) could be drastically…
Blind Monaural Source Separation on Heart and Lung Sounds Based on Periodic-Coded Deep Autoencoder
Kun-Hsi Tsai, Wei-Chien Wang, Chui-Hsuan Cheng +6
Auscultation is the most efficient way to diagnose cardiovascular and respiratory diseases. To reach accurate diagnoses, a device must be able to recognize heart and lung sounds fr…
SRECG: ECG Signal Super-resolution Framework for Portable/Wearable Devices in Cardiac Arrhythmias Classification
Tsai-Min Chen, Yuan-Hong Tsai, Huan-Hsin Tseng +6
A combination of cloud-based deep learning (DL) algorithms with portable/wearable (P/W) devices has been developed as a smart heath care system to support automatic cardiac arrhyth…
STOI-Net: A Deep Learning based Non-Intrusive Speech Intelligibility Assessment Model
Ryandhimas E. Zezario, Szu-Wei Fu, Chiou-Shann Fuh +2
The calculation of most objective speech intelligibility assessment metrics requires clean speech as a reference. Such a requirement may limit the applicability of these metrics in…
One Shot Learning for Speech Separation
Yuan-Kuei Wu, Kuan-Po Huang, Yu Tsao +1
Despite the recent success of speech separation models, they fail to separate sources properly while facing different sets of people or noisy environments. To tackle this problem,…
Semi-Supervised Learning with GANs for Device-Free Fingerprinting Indoor Localization
Kevin M. Chen, Ronald Y. Chang
Device-free wireless indoor localization is a key enabling technology for the Internet of Things (IoT). Fingerprint-based indoor localization techniques are a commonly used solutio…