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Syu-Siang Wang
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2020 – today
- 2024
- [j16]Syu-Siang Wang, Jia-Yang Chen, Bo-Ren Bai, Shih-Hau Fang, Yu Tsao:
Unsupervised Face-Masked Speech Enhancement Using Generative Adversarial Networks With Human-in-the-Loop Assessment Metrics. IEEE ACM Trans. Audio Speech Lang. Process. 32: 3826-3837 (2024) - [c38]Cheng-Yuan Tsai, Ting-Yu Lai, Chao-Hsiang Hung, Hau-Shiang Jung, Syu-Siang Wang, Shih-Hau Fang:
A Real-time Sound Source Separation System. ATAIT 2024: 1-12 - 2023
- [j15]Hsiang-Ping Hsu, Zhong-Ren Jiang, Lo-Ya Li, Tsai-Chuan Tsai, Chao-Hsiang Hung, Sheng-Chain Chang, Syu-Siang Wang, Shih-Hau Fang:
Detection of Audio Tampering Based on Electric Network Frequency Signal. Sensors 23(16): 7029 (2023) - [c37]Hsiang-Ping Hsu, Sheng-Chain Chang, Chao-Hsiang Hung, Syu-Siang Wang, Shih-Hau Fang:
Performance Comparison of Audio Tampering Detection Using Different Datasets. MDM 2023: 286-290 - [c36]Wen-Yuan Ting, Syu-Siang Wang, Yu Tsao, Borching Su:
IANS: Intelligibility-Aware Null-Steering Beamforming for Dual-Microphone Arrays. MLSP 2023: 1-6 - 2022
- [j14]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:
CITISEN: A Deep Learning-Based Speech Signal-Processing Mobile Application. IEEE Access 10: 46082-46099 (2022) - [j13]Chao-Hsiang Hung, Syu-Siang Wang, Chi-Te Wang, Shih-Hau Fang:
Using SincNet for Learning Pathological Voice Disorders. Sensors 22(17): 6634 (2022) - [c35]Syu-Siang Wang, Yu Tsao, Wei-Zhong Zheng, Hsiu-Wei Yeh, Pei-Chun Li, Shih-Hau Fang, Ying-Hui Lai:
Dysarthric Speech Enhancement Based on Convolution Neural Network. EMBC 2022: 60-64 - [c34]Wen-Yuan Ting, Syu-Siang Wang, Hsin-Li Chang, Borching Su, Yu Tsao:
Speech Enhancement Based on CycleGAN with Noise-informed Training. ISCSLP 2022: 155-159 - [i15]Syu-Siang Wang, Chi-Te Wang, Chih-Chung Lai, Yu Tsao, Shih-Hau Fang:
Continuous Speech for Improved Learning Pathological Voice Disorders. CoRR abs/2202.10777 (2022) - 2021
- [c33]You-Jin Li, Syu-Siang Wang, Yu Tsao, Borching Su:
MIMO Speech Compression and Enhancement Based on Convolutional Denoising Autoencoder. APSIPA ASC 2021: 1245-1250 - [c32]Chiang-Jen Peng, Yun-Ju Chan, Cheng Yu, Syu-Siang Wang, Yu Tsao, Tai-Shih Chi:
Attention-Based Multi-Task Learning for Speech-Enhancement and Speaker-Identification in Multi-Speaker Dialogue Scenario. ISCAS 2021: 1-5 - [c31]Yu-Tao Chang, Yuan-Hong Yang, Yu-Huai Peng, Syu-Siang Wang, Tai-Shih Chi, Yu Tsao, Hsin-Min Wang:
MoEVC: A Mixture of Experts Voice Conversion System With Sparse Gating Mechanism for Online Computation Acceleration. ISCSLP 2021: 1-5 - [c30]Md Mahbub E. Noor, Yen-Ju Lu, Syu-Siang Wang, Supratip Ghose, Chia-Yu Chang, Ryandhimas E. Zezario, Shafique Ahmed, Wei-Ho Chung, Yu Tsao, Hsin-Min Wang:
Investigation of a Single-Channel Frequency-Domain Speech Enhancement Network to Improve End-to-End Bengali Automatic Speech Recognition Under Unseen Noisy Conditions. O-COCOSDA 2021: 7-12 - [i14]Chiang-Jen Peng, Yun-Ju Chan, Cheng Yu, Syu-Siang Wang, Yu Tsao, Tai-Shih Chi:
Attention-based multi-task learning for speech-enhancement and speaker-identification in multi-speaker dialogue scenario. CoRR abs/2101.02550 (2021) - [i13]Yun-Ju Chan, Chiang-Jen Peng, Syu-Siang Wang, Hsin-Min Wang, Yu Tsao, Tai-Shih Chi:
Speech Enhancement-assisted Stargan Voice Conversion in Noisy Environments. CoRR abs/2110.09923 (2021) - [i12]Wen-Yuan Ting, Syu-Siang Wang, Hsin-Li Chang, Borching Su, Yu Tsao:
Speech Enhancement Based on Cyclegan with Noise-informed Training. CoRR abs/2110.09924 (2021) - 2020
- [j12]Cheng Yu, Kuo-Hsuan Hung, Syu-Siang Wang, Yu Tsao, Jeih-weih Hung:
Time-Domain Multi-Modal Bone/Air Conducted Speech Enhancement. IEEE Signal Process. Lett. 27: 1035-1039 (2020) - [j11]Cheng Yu, Ryandhimas E. Zezario, Syu-Siang Wang, Jonathan Sherman, Yi-Yen Hsieh, Xugang Lu, Hsin-Min Wang, Yu Tsao:
Speech Enhancement Based on Denoising Autoencoder With Multi-Branched Encoders. IEEE ACM Trans. Audio Speech Lang. Process. 28: 2756-2769 (2020) - [c29]Szu-Wei Fu, Chien-Feng Liao, Tsun-An Hsieh, Kuo-Hsuan Hung, Syu-Siang Wang, Cheng Yu, Heng-Cheng Kuo, Ryandhimas E. Zezario, You-Jin Li, Shang-Yi Chuang, Yen-Ju Lu, Yu-Chen Lin, Yu Tsao:
Boosting Objective Scores of a Speech Enhancement Model by MetricGAN Post-processing. APSIPA 2020: 455-459 - [c28]Chen-Li Lin, Zi-Qiang Lin, Syu-Siang Wang, Yu Tsao, Jeih-Weih Hung:
Exponentiated magnitude spectrogram-based relative-to-maximum masking for speech enhancement in adverse environments. ICCE-TW 2020: 1-2 - [c27]Chen-Yu Chen, Wei-Zhong Zheng, Syu-Siang Wang, Yu Tsao, Pei-Chun Li, Ying-Hui Lai:
Enhancing Intelligibility of Dysarthric Speech Using Gated Convolutional-Based Voice Conversion System. INTERSPEECH 2020: 4686-4690 - [i11]Szu-Wei Fu, Chien-Feng Liao, Tsun-An Hsieh, Kuo-Hsuan Hung, Syu-Siang Wang, Cheng Yu, Heng-Cheng Kuo, Ryandhimas E. Zezario, You-Jin Li, Shang-Yi Chuang, Yen-Ju Lu, Yu Tsao:
Boosting Objective Scores of Speech Enhancement Model through MetricGAN Post-Processing. CoRR abs/2006.10296 (2020) - [i10]Alexander Chao-Fu Kang, Kuo-Hsuan Hung, Yu-Wen Chen, You-Jin Li, Ya-Hsin Lai, Kai-Chun Liu, Sze-Wei Fu, Syu-Siang Wang, Yu Tsao:
CITISEN: A Deep Learning-Based Speech Signal-Processing Mobile Application. CoRR abs/2008.09264 (2020)
2010 – 2019
- 2019
- [j10]Ying-Hui Lai, Syu-Siang Wang, Chien-Hsun Chen, Sin-Hua Jhang:
Adaptive Wiener Gain to Improve Sound Quality on Nonnegative Matrix Factorization-Based Noise Reduction System. IEEE Access 7: 43286-43297 (2019) - [c26]Yu-Ting Lo, Syu-Siang Wang, Yu Tsao, Sheng-Yu Peng:
A Pruned-CELP Speech Codec Using Denoising Autoencoder with Spectral Compensation for Quality and Intelligibility Enhancement. AICAS 2019: 150-151 - [c25]Yih-Liang Shen, Chao-Yuan Huang, Syu-Siang Wang, Yu Tsao, Hsin-Min Wang, Tai-Shih Chi:
Reinforcement Learning Based Speech Enhancement for Robust Speech Recognition. ICASSP 2019: 6750-6754 - [c24]Pin-Tuan Huang, Hung-Shin Lee, Syu-Siang Wang, Kuan-Yu Chen, Yu Tsao, Hsin-Min Wang:
Exploring the Encoder Layers of Discriminative Autoencoders for LVCSR. INTERSPEECH 2019: 1631-1635 - [c23]Fu-Kai Chuang, Syu-Siang Wang, Jeih-weih Hung, Yu Tsao, Shih-Hau Fang:
Speaker-Aware Deep Denoising Autoencoder with Embedded Speaker Identity for Speech Enhancement. INTERSPEECH 2019: 3173-3177 - [c22]Kuan-Yi Liu, Syu-Siang Wang, Yu Tsao, Jeih-Weih Hung:
Speech enhancement based on the integration of fully convolutional network, temporal lowpass filtering and spectrogram masking. ROCLING 2019: 226-240 - [i9]Syu-Siang Wang, Yu-You Liang, Jeih-weih Hung, Yu Tsao, Hsin-Min Wang, Shih-Hau Fang:
Distributed Microphone Speech Enhancement based on Deep Learning. CoRR abs/1911.08153 (2019) - [i8]Cheng Yu, Yan-Ting Lin, Kuo-Hsuan Hung, Syu-Siang Wang, Szu-Wei Fu, Yu Tsao, Jeih-weih Hung:
Time-Domain Multi-modal Bone/air Conducted Speech Enhancement. CoRR abs/1911.09847 (2019) - [i7]Yu-Tao Chang, Yuan-Hong Yang, Yu-Huai Peng, Syu-Siang Wang, Tai-Shih Chi, Yu Tsao, Hsin-Min Wang:
MoEVC: A Mixture-of-experts Voice Conversion System with Sparse Gating Mechanism for Accelerating Online Computation. CoRR abs/1912.11984 (2019) - 2018
- [j9]Hsin-Te Hwang, Yi-Chiao Wu, Syu-Siang Wang, Chin-Cheng Hsu, Yu Tsao, Hsin-Min Wang, Yih-Ru Wang, Sin-Horng Chen:
Locally Linear Embedding Based Post-Filtering for Speech Enhancement. J. Inf. Sci. Eng. 34(6): 1469-1491 (2018) - [j8]Syu-Siang Wang, Payton Lin, Yu Tsao, Jeih-Weih Hung, Borching Su:
Suppression by Selecting Wavelets for Feature Compression in Distributed Speech Recognition. IEEE ACM Trans. Audio Speech Lang. Process. 26(3): 564-579 (2018) - [j7]Jen-Cheng Hou, Syu-Siang Wang, Ying-Hui Lai, Yu Tsao, Hsiu-Wen Chang, Hsin-Min Wang:
Audio-Visual Speech Enhancement Using Multimodal Deep Convolutional Neural Networks. IEEE Trans. Emerg. Top. Comput. Intell. 2(2): 117-128 (2018) - [c21]Wei-Jen Lee, Syu-Siang Wang, Fei Chen, Xugang Lu, Shao-Yi Chien, Yu Tsao:
Speech Dereverberation Based on Integrated Deep and Ensemble Learning Algorithm. ICASSP 2018: 5454-5458 - [c20]Shih-Kuang Lee, Syu-Siang Wang, Yu Tsao, Jeih-weih Hung:
Speech Enhancement Based on Reducing the Detail Portion of Speech Spectrograms in Modulation Domain via DiscreteWavelet Transform. ISCSLP 2018: 16-20 - [i6]Wei-Jen Lee, Syu-Siang Wang, Fei Chen, Xugang Lu, Shao-Yi Chien, Yu Tsao:
Speech Dereverberation Based on Integrated Deep and Ensemble Learning. CoRR abs/1801.04052 (2018) - [i5]Shih-Kuang Lee, Syu-Siang Wang, Yu Tsao, Jeih-weih Hung:
Speech Enhancement Based on Reducing the Detail Portion of Speech Spectrograms in Modulation Domain via Discrete Wavelet Transform. CoRR abs/1811.03486 (2018) - [i4]Yih-Liang Shen, Chao-Yuan Huang, Syu-Siang Wang, Yu Tsao, Hsin-Min Wang, Tai-Shih Chi:
Reinforcement Learning Based Speech Enhancement for Robust Speech Recognition. CoRR abs/1811.04224 (2018) - 2017
- [j6]Tassadaq Hussain, Sabato Marco Siniscalchi, Chi-Chun Lee, Syu-Siang Wang, Yu Tsao, Wen-Hung Liao:
Experimental Study on Extreme Learning Machine Applications for Speech Enhancement. IEEE Access 5: 25542-25554 (2017) - [j5]Payton Lin, Dau-Cheng Lyu, Fei Chen, Syu-Siang Wang, Yu Tsao:
Multi-style learning with denoising autoencoders for acoustic modeling in the internet of things (IoT). Comput. Speech Lang. 46: 481-495 (2017) - [j4]Tien-En Chen, Shih-I Yang, Li-Ting Ho, Kun-Hsi Tsai, Yu-Hsuan Chen, Yun-Fan Chang, Ying-Hui Lai, Syu-Siang Wang, Yu Tsao, Chau-Chung Wu:
S1 and S2 Heart Sound Recognition Using Deep Neural Networks. IEEE Trans. Biomed. Eng. 64(2): 372-380 (2017) - [j3]Ying-Hui Lai, Fei Chen, Syu-Siang Wang, Xugang Lu, Yu Tsao, Chin-Hui Lee:
A Deep Denoising Autoencoder Approach to Improving the Intelligibility of Vocoded Speech in Cochlear Implant Simulation. IEEE Trans. Biomed. Eng. 64(7): 1568-1578 (2017) - [c19]Syu-Siang Wang, Yu Tsao, Hsiao-Lan Sharon Wang, Ying-Hui Lai, Lieber Po-Hung Li:
A deep learning based noise reduction approach to improve speech intelligibility for cochlear implant recipients in the presence of competing speech noise. APSIPA 2017: 808-812 - [c18]Yi-Chiao Wu, Hsin-Te Hwang, Syu-Siang Wang, Chin-Cheng Hsu, Ying-Hui Lai, Yu Tsao, Hsin-Min Wang:
A locally linear embbeding based postfiltering approach for speech enhancement. ICASSP 2017: 5555-5559 - [c17]Chia-Lung Wu, Hsiang-Ping Hsu, Syu-Siang Wang, Jeih-Weih Hung, Ying-Hui Lai, Hsin-Min Wang, Yu Tsao:
Wavelet Speech Enhancement Based on Robust Principal Component Analysis. INTERSPEECH 2017: 439-443 - [c16]Yi-Chiao Wu, Hsin-Te Hwang, Syu-Siang Wang, Chin-Cheng Hsu, Yu Tsao, Hsin-Min Wang:
A Post-Filtering Approach Based on Locally Linear Embedding Difference Compensation for Speech Enhancement. INTERSPEECH 2017: 1953-1957 - [c15]Shih-Kuang Lee, Syu-Siang Wang, Yu Tsao, Jeih-weih Hung:
多樣訊雜比之訓練語料於降噪自動編碼器其語音強化功能之初步研究 (A Preliminary Study of Various SNR-level Training Data in the Denoising Auto-encoder (DAE) Technique for Speech Enhancement) [In Chinese]. ROCLING 2017: 101-113 - [i3]Jen-Cheng Hou, Syu-Siang Wang, Ying-Hui Lai, Jen-Chun Lin, Yu Tsao, Hsiu-Wen Chang, Hsin-Min Wang:
Audio-Visual Speech Enhancement based on Multimodal Deep Convolutional Neural Network. CoRR abs/1703.10893 (2017) - 2016
- [j2]Payton Lin, Szu-Wei Fu, Syu-Siang Wang, Ying-Hui Lai, Yu Tsao:
Maximum Entropy Learning with Deep Belief Networks. Entropy 18(7): 251 (2016) - [j1]Syu-Siang Wang, Alan Chern, Yu Tsao, Jeih-weih Hung, Xugang Lu, Ying-Hui Lai, Borching Su:
Wavelet Speech Enhancement Based on Nonnegative Matrix Factorization. IEEE Signal Process. Lett. 23(8): 1101-1105 (2016) - [c14]Jen-Cheng Hou, Syu-Siang Wang, Ying-Hui Lai, Jen-Chun Lin, Yu Tsao, Hsiu-Wen Chang, Hsin-Min Wang:
Audio-visual speech enhancement using deep neural networks. APSIPA 2016: 1-6 - [c13]Yueh-Ting Tsai, Borching Su, Yu Tsao, Syu-Siang Wang:
Adaptive subspace-constrained diagonal loading. APSIPA 2016: 1-4 - [c12]Syu-Siang Wang, Yu Tsao:
Temporal Modulation Spectral Restoration for Robust Speech Recognition. BigMM 2016: 481-486 - [c11]Syu-Siang Wang, Jeremy Chiaming Yang, Yu Tsao, Jeih-weih Hung:
Leveraging nonnegative matrix factorization in processing the temporal modulation spectrum for speech enhancement. ICCE-TW 2016: 1-2 - [c10]Jeremy Chiaming Yang, Syu-Siang Wang, Yu Tsao, Jeih-Weih Hung:
Speech enhancement via ensemble modeling NMF adaptation. ICCE-TW 2016: 1-2 - [c9]Ying-Hui Lai, Syu-Siang Wang, Yu-Ting Su, Cheng Han-Che, Fan Kang Fu, Yu Tsao:
Improving the performance of speech perception in noisy environment based on an FAME strategy. ISCSLP 2016: 1-5 - [i2]Syu-Siang Wang, Alan Chern, Yu Tsao, Jeih-Weih Hung, Xugang Lu, Ying-Hui Lai, Borching Su:
Wavelet speech enhancement based on nonnegative matrix factorization. CoRR abs/1601.02309 (2016) - [i1]Yueh-Ting Tsai, Borching Su, Yu Tsao, Syu-Siang Wang:
Robust Beamforming Against DoA Mismatch Using Subspace-Constrained Diagonal Loading. CoRR abs/1602.02690 (2016) - 2015
- [c8]Syu-Siang Wang, Hsin-Te Hwang, Ying-Hui Lai, Yu Tsao, Xugang Lu, Hsin-Min Wang, Borching Su:
Improving denoising auto-encoder based speech enhancement with the speech parameter generation algorithm. APSIPA 2015: 365-369 - [c7]Ying-Hui Lai, Syu-Siang Wang, Pei-Chun Li, Yu Tsao:
A discriminative post-filter for speech enhancement in hearing aids. ICASSP 2015: 5868-5872 - [c6]Payton Lin, Syu-Siang Wang, Yu Tsao:
Temporal information in tone recognition. ICCE-TW 2015: 326-327 - 2014
- [c5]Hao-Teng Fan, Jeih-weih Hung, Xugang Lu, Syu-Siang Wang, Yu Tsao:
Speech enhancement using segmental nonnegative matrix factorization. ICASSP 2014: 4483-4487 - [c4]Payton Lin, Fei Chen, Syu-Siang Wang, Ying-Hui Lai, Yu Tsao:
Automatic speech recognition with primarily temporal envelope information. INTERSPEECH 2014: 476-480 - [c3]Syu-Siang Wang, Payton Lin, Dau-Cheng Lyu, Yu Tsao, Hsin-Te Hwang, Borching Su:
Acoustic feature conversion using a polynomial based feature transferring algorithm. ISCSLP 2014: 454-458 - 2013
- [c2]Syu-Siang Wang, Yu Tsao, Jeih-Weih Hung:
Filtering on the temporal probability sequence in histogram equalization for robust speech recognition. ICASSP 2013: 7112-7116 - 2012
- [c1]Syu-Siang Wang, Jeih-Weih Hung, Yu Tsao:
A study on cepstral sub-band normalization for robust ASR. ISCSLP 2012: 141-145
Coauthor Index
aka: Jeih-weih Hung
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last updated on 2024-10-12 22:55 CEST by the dblp team
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