● J.-W. Chen, C.-M. Liu, C.-Y. Wang, C.-C. Lin, K.-Y. Qiu, C.-Y. Yeh, S.-H. Hwang, A deep neural network-based model for OSA severity classification using unsegmented peripheral oxygen saturation signals, Engineering Applications of Artificial Intelligent(SCI, IF=7.802), Vol.122, Jun, 2023
● J.-W. Chen, S.-T. Lin, C.-Y. Wang, C.-C. Lin, K.-C. Hsu, C.-Y. Yeh,* and S.-H. Hwang, A Signal Segmentation-Free Model for Electrocardiogram Based Obstructive Sleep Apnea Severity Classification, Advanced Intelligent System(SCI, IF=7.298), 18 Jan. 2023
● K.-J. Tsai, M.-C. Chou, H.-M. Li, S.-T. Liu, J.-H. Hsu, W.-C. Yeh, C.-M. Hung, C.-Y. Yeh, and S.-H. Hwang, A High-Performance Deep Neural Network Model for BI-RADS Classification of Screening Mammography, Sensors MDPI, vol. 2022, 22, 1160, p.1~15.
● S.-H. Hwang and C.-T. Yeh, Session Traversal Utilities for Network Address Translator (STUN)-based Traversal Approach Using Port Assignment Prediction Mechanism, Sensors and Materials, vol. Vol.34, No.5 pp.1791-1801, 2022.
● C.-H. Lin, C.-C. Lin, R.-H. Chen, C.-Y. Yeh, S.-H. Hwang, “Development of Fishing Vessel Identification Model Based on Deep Neural Network”, IEEJ Trans. on Electrical and Electronic Engineering, vol. pp.1755~1763, Mar. 2022, 2022
● Y.-B. Lin, Y.-F. Liao, S.-H. Chen, S.-H. Hwang, Y.-R. Wang, VoiceTalk: Multimedia-IoT Applications for Mixing Mandarin, Taiwanese and English, ACM Transactions on Internet Technology, June, 2022, vol. accepted on June, 2022
● C.-Y. Yeh*, S.-H. Hwang, Efficient Detection Approach for DTMF Signal Detection, Applied Sciences, 9(3), 1-11, 2019. (SCI), vol. 9(3),1-11,2019, 2019
● S.-H. Hwang and S.-H. Chen, “Fast Encoding Algorithm for VQ-Based Image Coding,” IEE Electronics Letter, pp.1618-1619, 1990.
● S.-H. Hwang and S.-H. Chen, “A Neural Network Based Pause Duration Synthesizer for Mandarin Text-to-Speech System,” IEE Electronics Letter, pp.1218-1219, 1992.
● S.-H. Hwang, and S.-H. Chen, “A Neural Network Based F0 Synthesizer for Mandarin Text-to-Speech,” IEE Proceeding on Vision, Image, and Signal Processing, Vol.141, No.6, pp.384-390, Dec., 1994.
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● S.-H. Hwang, “Computational improvement for G.729 standard”,IEEE Electronic Letters,Vol.36, No.13, pp.1163-1164, Jun. 2000
● S.-H. Hwang and C.-Y. Yeh, “The Synthesis Unit Generation Algorithm for Mandarin Text to Speech”, GESTS International Transaction on Speech Science and Engineering, Vol.2, No.1, pp.91~102, Feb. 2005
● C.-Y. Yeh and S.-H. Hwang, “The Efficient Text Analyzer Driven by Prosody Generator for Mandarin Text-to-Speech”, IEE Proceeding on Vision, Image and Signal Processing, Vol.:152, Iss:6, pp:793-799, 2005.
● L.-J. Yan and S.-H. Hwang, “Vector Quantisation Based on a Quasi-Binary Search Algorithm”, IET Image Processing , Vol.5, Iss.1, pp.49-54, 2011. (SCI, IF=0.639)
● L.-T. Shen, C.-Y. Yeh and S.-H. Hwang, ”A Study on the Consistency Analysis of Energy Parameter for Mandarin Speech”, EURASIP Journal on Audio, Speech, and Music Processing ,EURASIP J. Audio, Speech and Music Processing, pp.1-8, 2012:28.(SCI, IF=0.394)
● C.-Y. Yeh, K.-L. Chen, S.-H. Hwang: “Consistency Analysis of the Duration Parameter Within a Syllable for Mandarin Speech.”, Information Technology and Control, Vol.42, No.2, pp.170-177, 2013(SCI,IF=0.667)
● K.-L. Chen, C.-Y. Yeh, S.-H. Hwang, “consistency analysis of the spectrum and prosody within a syllable for Mandarin speech”, Mathematical Methods in the Applied Sciences, pp.1851-1861, 2013, 36 (SCI, IF=0.743)
● C.-J. Huang, S.-H. Hwang, and C.-Y. Yeh*, “A Method for Improving TIE-based VQ Encoding Introducing RI Rules Date of Evaluation”, IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, 96-D(1): pp.151-154(2013). (SCI, IF=0.230)
● S.-C. Chang, C.-Y. Yeh, S.-H. Hwang, “An Efficient Algebraic Codebook Search Method in G.729 Speech Codec”, Information-An International Interdisciplinary Journal, Vol.16, No.9(B), pp.7099-7106, Sep., 2013. (SCI, IF=0.250)
● C.-Y. Yeh, S.-C. Chang, S.-H. Hwang, “A Consistency Analysis on an Acoustic Module for Mandarin Text-to-Speech”, Speech Communication, 55(2): pp.266-277, 2013. (SCI, IF=1.267)
● C.-Y. Yeh, K.-L. Chen, S.-H. Hwang, L.-J. Yan, “Study on the consistency analysis between the prosody and the spectrum for Mandarin speech”, Signal Processing, IET Journals & Magazines, Year: 2013, Volume: 7, Issue: 2, Pages: 158 - 165,(SCI,IF=0.639)
● C.-P. Chu, C.-Y. Yeh, and S.-H. Hwang, “An Efficient Tree-Structured Vector Quantization Using Dynamic Triangular Inequality Elimination”, IEEJ Transactions on Electrical and Electronic Engineering, Vol.9, Iss. S1. pp.S70-S72, Oct. 2014.(SCI, IF=0.213)
● C.-P. Chu, C.-Y. Yeh, and S.-H. Hwang, “An Efficient Search Strtegy for ACELP Algebraic Codebook by Means of Reduced Candidate Mechanism and Iteration-Free Pulse Replacement”, INFORMATION Technology and Control, pp.182~186, T.43, Nr.2, 2014.(SCI,IF=0.667)
● N.-Y. Ku, C.-Y. Yeh, and S.-H. Hwang, “An efficient algebraic codebook search for ACELP speech coder”, EURASIP Journal on Audio, Speech, and Music Processing, pp.1~9, 2014(SCI,IF=0.63)
● C.-J. Huang, C.-Y. Yeh, S.-H. Hwang, “An Improvement of the Triangular Inequality Elimination Algorithm for Vector Quantization”, Applied Mathematics & Information Sciences, 9, No.1L, pp:229-235, 2015. (SCI, IF=0.508)
● T.-H. Lin, C.-Y. Yeh, S.-H. Hwang, “Efficient Statistics-Based Algebraic Codebook Search Algorithms Derived from RCM for an ACELP Speech Coder”, INFORMATION Technology and Control, pp.410~419, T.44, Nr.4, 2015.(SCI,IF=0.667)
● T.-H. Lin, S.-C. Chang, C.-Y. Yeh, and S.-H. Hwang, “An efficient binary search space-structured VQ encoder applied to a line spectral frequency quantization in G.729 standard” IET Journals on Communications, Vol.10, Iss.10, pp.1183-1188, 2016 (SCI,IF=0.742)
● B.-J. Yao, C.-Y. Yeh, and S.-H. Hwang, “A Search Complexity Improvement of Vector Quantization to Immittance Spectral Frequency Coefficients in AMR-WB Speech Codec”, Symmetry 2016, 8,104; doi:10.3390/sym8100104, pp.1-8, (SCI,IF=1.276)