Browsing by Author "Huang, Ching-Wen"

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A frequency bin-wise nonlinear masking algorithm in convolutive mixtures for speech segregation
(2012-05-01)
Chi, Tai-Shih
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Huang, Ching-Wen
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Chou, Wen-Sheng
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電機工程學系
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Department of Electrical and Computer Engineering
A frequency bin-wise nonlinear masking algorithm is proposed in the spectrogram domain for speech segregation in convolutive mixtures. The contributive weight from each speech source to a time-frequency unit of the mixture spectrogram is estimated by a nonlinear function based on location cues. For each sound source, a non-binary mask is formed from the estimated weights and is multiplied to the mixture spectrogram to extract the sound. Head-related transfer functions (HRTFs) are used to simulate convolutive sound mixtures perceived by listeners. Simulation results show our proposed method outperforms convolutive independent component analysis and degenerate unmixing and estimation technique methods in almost all test conditions. (C) 2012 Acoustical Society of America
Improving the reproducibility, accuracy, and stability of an electrochemical biosensor platform for point-of-care use
(2020-05-01)
Chen, Lung-Chieh
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Wang, Erick
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Tai, Chun-San
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Chiu, Yuan-Chen
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Li, Chang-Wei
Electrochemical biosensors possess numerous desirable qualities for target detection, such as portability and ease of use, and are often considered for point-of-care (POC) development. Label-free affinity electrochemical biosensors constructed with semiconductor manufacturing technology (SMT)-produced electrodes and a streptavidin biomediator currently display the highest reproducibility, accuracy, and stability in modern biosensors. However, such biosensors still do not meet POC guidelines regarding these three characteristics. The purpose of this research was to resolve the limitations in reproducibility and accuracy caused by problems with production of the biosensors, with the aim of developing a platform capable of producing devices that exceed POC standards. SMT production settings were optimized and bioreceptor immobilization was improved through the use of a unique linker, producing a biosensor with exceptional reproducibility, impressive accuracy, and high stability. Importantly, the three characteristics of the sensors produced using the proposed platform all meet POC standards set by the Clinical and Laboratory Standards Institute (CLSI). This suggests possible approval of the biosensors for POC development. Furthermore, the detection range of the platform was demonstrated by constructing biosensors capable of detecting common POC targets, including circulating tumor cells (CTCs), DNA/RNA, and curcumin, and the devices were optimized for POC use. Overall, the platform developed in this study shows high potential for production of POC biosensors.
Low Power InfomaxICA with Compensation Strategy for Binaural Hearing-Aid
(2011)
Yi Fan-Chiang
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Huang, Ching-Wen
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Chi, Tai-Shih
;
Jou, Shyh-Jye
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電機工程學系
Binaural hearing-aids are under intensive study nowadays. The information exchange across both ears provides an opportunity to perform the blind source separation to enhance the signal SNR. This study combines the conventional InfomaxICA with our proposed novel algorithms: binaural delay compensation, minimum-interference initial de-mixing guess and low power design concept, for a real-time binaural hearing-aid application. Simulations demonstrate our algorithms provide 20.5 to 30.6 dB gain at 0 to 35 points delay at SNR=0 dB in our assumed scenario. Therefore, our algorithms are robust under various practical wearing conditions.