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ORCIDYu Tsao 0001
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- affiliation: Academia Sinica, Research Center for Information Technology Innovation, Taipei, Taiwan
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- Yu Tsao — disambiguation page
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2020 – today
- 2023
[j66]Fei Chen, Yu Tsao:
Advances in biomedical signal processing for communication disorders. Biomed. Signal Process. Control. 80(Part): 104346 (2023)- [j65]Ryandhimas E. Zezario
, Szu-Wei Fu, Fei Chen, Chiou-Shann Fuh, Hsin-Min Wang, Yu Tsao:
Deep Learning-Based Non-Intrusive Multi-Objective Speech Assessment Model With Cross-Domain Features. IEEE ACM Trans. Audio Speech Lang. Process. 31: 54-70 (2023) - [c203]Chih-Hsing Chen, Kai-Chun Liu, Ting-Yang Lu, Chih-Ya Chang, Chia-Tai Chan, Yu Tsao:
Wearable-based Pain Assessment in Patients with Adhesive Capsulitis Using Machine Learning. NER 2023: 1-4 - [i119]Yu-Wen Chen, Hsin-Min Wang, Yu Tsao:
BASPRO: a balanced script producer for speech corpus collection based on the genetic algorithm. CoRR abs/2301.04120 (2023) - [i118]Huan-Hsin Tseng, Hsin-Yi Lin, Kuo-Hsuan Hung, Yu Tsao:
Interpretations of Domain Adaptations via Layer Variational Analysis. CoRR abs/2302.01798 (2023) - [i117]Tin-Han Chi, Kai-Chun Liu, Chia-Yeh Hsieh, Yu Tsao, Chia-Tai Chan:
PreFallKD: Pre-Impact Fall Detection via CNN-ViT Knowledge Distillation. CoRR abs/2303.03634 (2023) - [i116]Li-Chin Chen, Kuo-Hsuan Hung, Yi-Ju Tseng, Hsin-Yao Wang, Tse-Min Lu, Wei-Chieh Huang, Yu Tsao:
Self-supervised based general laboratory progress pretrained model for cardiovascular event detection. CoRR abs/2303.06980 (2023) - [i115]Li-Chin Chen, Jung-Nien Lai, Hung-En Lin, Hsien-Te Chen, Kuo-Hsuan Hung, Yu Tsao:
Preoperative Prognosis Assessment of Lumbar Spinal Surgery for Low Back Pain and Sciatica Patients based on Multimodalities and Multimodal Learning. CoRR abs/2303.09085 (2023) - [i114]Chien-Pin Liu, Ju-Hsuan Li, En-Ping Chu, Chia-Yeh Hsieh, Kai-Chun Liu, Chia-Tai Chan, Yu Tsao:
Deep Learning-based Fall Detection Algorithm Using Ensemble Model of Coarse-fine CNN and GRU Networks. CoRR abs/2304.06335 (2023) - 2022
- [j64]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) - [j63]Yi Lin, Yu Tsao, Po-Jang Hsieh:
Neural correlates of individual differences in predicting ambiguous sounds comprehension level. NeuroImage 251: 119012 (2022) - [j62]Cheng-Hung Hu, Yu-Huai Peng, Junichi Yamagishi, Yu Tsao, Hsin-Min Wang:
SVSNet: An End-to-End Speaker Voice Similarity Assessment Model. IEEE Signal Process. Lett. 29: 767-771 (2022) - [j61]Lichin Chen, Po-Hsun Chen, Richard Tzong-Han Tsai, Yu Tsao:
EPG2S: Speech Generation and Speech Enhancement Based on Electropalatography and Audio Signals Using Multimodal Learning. IEEE Signal Process. Lett. 29: 2582-2586 (2022) - [j60]Tassadaq Hussain, Wei-Chien Wang, Mandar Gogate, Kia Dashtipour, Yu Tsao, Xugang Lu, Ahsan Adeel, Amir Hussain:
A Novel Temporal Attentive-Pooling based Convolutional Recurrent Architecture for Acoustic Signal Enhancement. IEEE Trans. Artif. Intell. 3(5): 833-842 (2022) - [j59]Kai-Chun Liu, Kuo-Hsuan Hung, Chia-Yeh Hsieh, Hsiang-Yun Huang, Chia-Tai Chan, Yu Tsao:
Deep-Learning-Based Signal Enhancement of Low-Resolution Accelerometer for Fall Detection Systems. IEEE Trans. Cogn. Dev. Syst. 14(3): 1270-1281 (2022) - [j58]Yu-Chen Lin, Cheng Yu, Yi-Te Hsu, Szu-Wei Fu, Yu Tsao, Tei-Wei Kuo:
SEOFP-NET: Compression and Acceleration of Deep Neural Networks for Speech Enhancement Using Sign-Exponent-Only Floating-Points. IEEE ACM Trans. Audio Speech Lang. Process. 30: 1016-1031 (2022) - [j57]Shang-Yi Chuang, Hsin-Min Wang, Yu Tsao:
Improved Lite Audio-Visual Speech Enhancement. IEEE ACM Trans. Audio Speech Lang. Process. 30: 1345-1359 (2022) - [c202]Chan-Jan Hsu, Hung-yi Lee, Yu Tsao:
XDBERT: Distilling Visual Information to BERT from Cross-Modal Systems to Improve Language Understanding. ACL (2) 2022: 479-489 - [c201]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 - [c200]Tassadaq Hussain, Muhammad Diyan, Mandar Gogate, Kia Dashtipour, Ahsan Adeel, Yu Tsao, Amir Hussain:
A Novel Speech Intelligibility Enhancement Model based on Canonical Correlation and Deep Learning. EMBC 2022: 2581-2584 - [c199]Zicheng Feng, Yu Tsao, Fei Chen:
Recurrent Neural Network-based Estimation and Correction of Relative Transfer Function for Preserving Spatial Cues in Speech Separation. EUSIPCO 2022: 155-159 - [c198]Bo-Rong Chen, Hsin-Tien Chiang, Heng-Cheng Kuo, Yu Tsao, Yih-Chun Hu:
Key Generation with Ambient Audio. GLOBECOM 2022: 5510-5515 - [c197]Yu-Chen Lin, Tsun-An Hsieh, Kuo-Hsuan Hung, Cheng Yu, Harinath Garudadri, Yu Tsao, Tei-Wei Kuo:
Speech Recovery For Real-World Self-Powered Intermittent Devices. ICASSP 2022: 26-30 - [c196]Kuan-Chen Wang, Kai-Chun Liu, Hsin-Min Wang, Yu Tsao:
EMGSE: Acoustic/EMG Fusion for Multimodal Speech Enhancement. ICASSP 2022: 1116-1120 - [c195]Yen-Ju Lu, Zhong-Qiu Wang, Shinji Watanabe, Alexander Richard, Cheng Yu, Yu Tsao:
Conditional Diffusion Probabilistic Model for Speech Enhancement. ICASSP 2022: 7402-7406 - [c194]Szu-Wei Fu, Cheng Yu, Kuo-Hsuan Hung, Mirco Ravanelli, Yu Tsao:
MetricGAN-U: Unsupervised Speech Enhancement/ Dereverberation Based Only on Noisy/ Reverberated Speech. ICASSP 2022: 7412-7416 - [c193]Guan-Ting Lin, Chan-Jan Hsu, Da-Rong Liu, Hung-Yi Lee, Yu Tsao:
Analyzing The Robustness of Unsupervised Speech Recognition. ICASSP 2022: 8202-8206 - [c192]Chao-Han Huck Yang, Jun Qi, Samuel Yen-Chi Chen, Yu Tsao, Pin-Yu Chen:
When BERT Meets Quantum Temporal Convolution Learning for Text Classification in Heterogeneous Computing. ICASSP 2022: 8602-8606 - [c191]Haibin Wu, Heng-Cheng Kuo, Naijun Zheng, Kuo-Hsuan Hung, Hung-Yi Lee, Yu Tsao, Hsin-Min Wang, Helen Meng:
Partially Fake Audio Detection by Self-Attention-Based Fake Span Discovery. ICASSP 2022: 9236-9240 - [c190]Kuo-Hsuan Hung, Szu-Wei Fu, Huan-Hsin Tseng, Hsin-Tien Chiang, Yu Tsao, Chii-Wann Lin:
Boosting Self-Supervised Embeddings for Speech Enhancement. INTERSPEECH 2022: 186-190 - [c189]Chiang-Jen Peng, Yun-Ju Chan, Yih-Liang Shen, Cheng Yu, Yu Tsao, Tai-Shih Chi:
Perceptual Characteristics Based Multi-objective Model for Speech Enhancement. INTERSPEECH 2022: 211-215 - [c188]Cheng Yu, Szu-Wei Fu, Tsun-An Hsieh, Yu Tsao, Mirco Ravanelli:
OSSEM: one-shot speaker adaptive speech enhancement using meta learning. INTERSPEECH 2022: 981-985 - [c187]Chi-Chang Lee, Cheng-Hung Hu, Yu-Chen Lin, Chu-Song Chen, Hsin-Min Wang, Yu Tsao:
NASTAR: Noise Adaptive Speech Enhancement with Target-Conditional Resampling. INTERSPEECH 2022: 1183-1187 - [c186]Yu-Wen Chen, Yu Tsao:
InQSS: a speech intelligibility and quality assessment model using a multi-task learning network. INTERSPEECH 2022: 3088-3092 - [c185]Ryandhimas Edo Zezario, Fei Chen, Chiou-Shann Fuh, Hsin-Min Wang, Yu Tsao:
MBI-Net: A Non-Intrusive Multi-Branched Speech Intelligibility Prediction Model for Hearing Aids. INTERSPEECH 2022: 3944-3948 - [c184]Wen-Chin Huang, Erica Cooper, Yu Tsao, Hsin-Min Wang, Tomoki Toda, Junichi Yamagishi:
The VoiceMOS Challenge 2022. INTERSPEECH 2022: 4536-4540 - [c183]Fan-Lin Wang, Hung-Shin Lee, Yu Tsao, Hsin-Min Wang:
Disentangling the Impacts of Language and Channel Variability on Speech Separation Networks. INTERSPEECH 2022: 5343-5347 - [c182]Rong Chao, Cheng Yu, Szu-Wei Fu, Xugang Lu, Yu Tsao:
Perceptual Contrast Stretching on Target Feature for Speech Enhancement. INTERSPEECH 2022: 5448-5452 - [c181]Yen-Ju Lu, Xuankai Chang, Chenda Li, Wangyou Zhang, Samuele Cornell, Zhaoheng Ni, Yoshiki Masuyama, Brian Yan, Robin Scheibler, Zhong-Qiu Wang, Yu Tsao, Yanmin Qian, Shinji Watanabe:
ESPnet-SE++: Speech Enhancement for Robust Speech Recognition, Translation, and Understanding. INTERSPEECH 2022: 5458-5462 - [c180]Ryandhimas Edo Zezario, Szu-Wei Fu, Fei Chen, Chiou-Shann Fuh, Hsin-Min Wang, Yu Tsao:
MTI-Net: A Multi-Target Speech Intelligibility Prediction Model. INTERSPEECH 2022: 5463-5467 - [c179]Hung-Shin Lee, Pin-Yuan Chen, Yao-Fei Cheng, Yu Tsao, Hsin-Min Wang:
Speech-enhanced and Noise-aware Networks for Robust Speech Recognition. ISCSLP 2022: 145-149 - [c178]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 - [c177]Zicheng Feng, Yu Tsao, Fei Chen:
Preservation Of Interaural Level Difference Cue In A Deep Learning-Based Speech Separation System For Bilateral And Bimodal Cochlear Implants Users. IWAENC 2022: 1-5 - [c176]Shang-Bao Luo, Cheng-Chung Fan, Kuan-Yu Chen, Yu Tsao, Hsin-Min Wang, Keh-Yih Su:
Chinese Movie Dialogue Question Answering Dataset. ROCLING 2022: 7-14 - [i113]Tassadaq Hussain, Wei-Chien Wang, Mandar Gogate, Kia Dashtipour, Yu Tsao, Xugang Lu, Ahsan Adeel, Amir Hussain:
A Novel Temporal Attentive-Pooling based Convolutional Recurrent Architecture for Acoustic Signal Enhancement. CoRR abs/2201.09913 (2022) - [i112]Tassadaq Hussain, Muhammad Diyan, Mandar Gogate, Kia Dashtipour, Ahsan Adeel, Yu Tsao, Amir Hussain:
A Speech Intelligibility Enhancement Model based on Canonical Correlation and Deep Learning for Hearing-Assistive Technologies. CoRR abs/2202.04172 (2022) - [i111]Yen-Ju Lu, Zhong-Qiu Wang, Shinji Watanabe, Alexander Richard, Cheng Yu, Yu Tsao:
Conditional Diffusion Probabilistic Model for Speech Enhancement. CoRR abs/2202.05256 (2022) - [i110]Tassadaq Hussain, Muhammad Diyan, Mandar Gogate, Kia Dashtipour, Ahsan Adeel, Yu Tsao, Amir Hussain:
A Novel Speech Intelligibility Enhancement Model based on CanonicalCorrelation and Deep Learning. CoRR abs/2202.05756 (2022) - [i109]Kuan-Chen Wang, Kai-Chun Liu, Hsin-Min Wang, Yu Tsao:
EMGSE: Acoustic/EMG Fusion for Multimodal Speech Enhancement. CoRR abs/2202.06507 (2022) - [i108]Haibin Wu, Heng-Cheng Kuo, Naijun Zheng, Kuo-Hsuan Hung, Hung-Yi Lee, Yu Tsao, Hsin-Min Wang, Helen Meng:
Partially Fake Audio Detection by Self-attention-based Fake Span Discovery. CoRR abs/2202.06684 (2022) - [i107]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) - [i106]Chao-Han Huck Yang, Jun Qi, Samuel Yen-Chi Chen, Yu Tsao, Pin-Yu Chen:
When BERT Meets Quantum Temporal Convolution Learning for Text Classification in Heterogeneous Computing. CoRR abs/2203.03550 (2022) - [i105]Wen-Chin Huang, Erica Cooper, Yu Tsao, Hsin-Min Wang, Tomoki Toda, Junichi Yamagishi:
The VoiceMOS Challenge 2022. CoRR abs/2203.11389 (2022) - [i104]Hung-Shin Lee, Pin-Yuan Chen, Yu Tsao, Hsin-Min Wang:
Speech-enhanced and Noise-aware Networks for Robust Speech Recognition. CoRR abs/2203.13696 (2022) - [i103]Hung-Shin Lee, Yu Tsao, Shyh-Kang Jeng, Hsin-Min Wang:
Subspace-based Representation and Learning for Phonotactic Spoken Language Recognition. CoRR abs/2203.15576 (2022) - [i102]Chin-Yi Cheng, Hung-Shin Lee, Yu Tsao, Hsin-Min Wang:
Multi-Target Filter and Detector for Speaker Diarization. CoRR abs/2203.16007 (2022) - [i101]Fan-Lin Wang, Hung-Shin Lee, Yu Tsao, Hsin-Min Wang:
Disentangling the Impacts of Language and Channel Variability on Speech Separation Networks. CoRR abs/2203.16040 (2022) - [i100]Xugang Lu, Peng Shen, Yu Tsao, Hisashi Kawai:
Partial Coupling of Optimal Transport for Spoken Language Identification. CoRR abs/2203.17036 (2022) - [i99]Rong Chao, Cheng Yu, Szu-Wei Fu, Xugang Lu, Yu Tsao:
Perceptual Contrast Stretching on Target Feature for Speech Enhancement. CoRR abs/2203.17152 (2022) - [i98]Chiang-Lin Tai, Hung-Shin Lee, Yu Tsao, Hsin-Min Wang:
Filter-based Discriminative Autoencoders for Children Speech Recognition. CoRR abs/2204.00164 (2022) - [i97]Ryandhimas E. Zezario, Fei Chen, Chiou-Shann Fuh, Hsin-Min Wang, Yu Tsao:
MBI-Net: A Non-Intrusive Multi-Branched Speech Intelligibility Prediction Model for Hearing Aids. CoRR abs/2204.03305 (2022) - [i96]Ryandhimas E. Zezario, Szu-Wei Fu, Fei Chen, Chiou-Shann Fuh, Hsin-Min Wang, Yu Tsao:
MTI-Net: A Multi-Target Speech Intelligibility Prediction Model. CoRR abs/2204.03310 (2022) - [i95]Shih-Kuang Lee, Yu Tsao, Hsin-Min Wang:
A Study of Using Cepstrogram for Countermeasure Against Replay Attacks. CoRR abs/2204.04333 (2022) - [i94]Chan-Jan Hsu, Hung-yi Lee, Yu Tsao:
XDBERT: Distilling Visual Information to BERT from Cross-Modal Systems to Improve Language Understanding. CoRR abs/2204.07316 (2022) - [i93]Li-Chin Chen, Po-Hsun Chen, Richard Tzong-Han Tsai, Yu Tsao:
EPG2S: Speech Generation and Speech Enhancement based on Electropalatography and Audio Signals using Multimodal Learning. CoRR abs/2206.07860 (2022) - [i92]Chi-Chang Lee, Cheng-Hung Hu, Yu-Chen Lin, Chu-Song Chen, Hsin-Min Wang, Yu Tsao:
NASTAR: Noise Adaptive Speech Enhancement with Target-Conditional Resampling. CoRR abs/2206.09058 (2022) - [i91]Yen-Ju Lu, Xuankai Chang, Chenda Li, Wangyou Zhang, Samuele Cornell, Zhaoheng Ni, Yoshiki Masuyama, Brian Yan, Robin Scheibler, Zhong-Qiu Wang, Yu Tsao, Yanmin Qian, Shinji Watanabe:
ESPnet-SE++: Speech Enhancement for Robust Speech Recognition, Translation, and Understanding. CoRR abs/2207.09514 (2022) - [i90]Yin-Ping Cho, Yu Tsao, Hsin-Min Wang, Yi-Wen Liu:
Mandarin Singing Voice Synthesis with Denoising Diffusion Probabilistic Wasserstein GAN. CoRR abs/2209.10446 (2022) - [i89]Kuan-Chen Wang, Kai-Chun Liu, Sheng-Yu Peng, Yu Tsao:
ECG Artifact Removal from Single-Channel Surface EMG Using Fully Convolutional Networks. CoRR abs/2210.13271 (2022) - [i88]Li-Wei Chen, Yao-Fei Cheng, Hung-Shin Lee, Yu Tsao, Hsin-Min Wang:
A Teacher-student Framework for Unsupervised Speech Enhancement Using Noise Remixing Training and Two-stage Inference. CoRR abs/2210.15368 (2022) - [i87]Fan-Lin Wang, Yao-Fei Cheng, Hung-Shin Lee, Yu Tsao, Hsin-Min Wang:
CasNet: Investigating Channel Robustness for Speech Separation. CoRR abs/2210.15370 (2022) - [i86]I-Chun Chern, Kuo-Hsuan Hung, Yi-Ting Chen, Tassadaq Hussain, Mandar Gogate, Amir Hussain, Yu Tsao, Jen-Cheng Hou:
Audio-Visual Speech Enhancement and Separation by Leveraging Multi-Modal Self-Supervised Embeddings. CoRR abs/2210.17456 (2022) - [i85]Chan-Jan Hsu, Ho-Lam Chung, Hung-yi Lee, Yu Tsao:
T5lephone: Bridging Speech and Text Self-supervised Models for Spoken Language Understanding via Phoneme level T5. CoRR abs/2211.00586 (2022) - [i84]Tsun-An Hsieh, Chao-Han Huck Yang, Pin-Yu Chen, Sabato Marco Siniscalchi, Yu Tsao:
Inference and Denoise: Causal Inference-based Neural Speech Enhancement. CoRR abs/2211.01189 (2022) - [i83]Hsin-Yi Lin, Huan-Hsin Tseng, Yu Tsao:
On the robustness of non-intrusive speech quality model by adversarial examples. CoRR abs/2211.06508 (2022) - 2021
- [j56]Tzu-Hao Lin, Tomonari Akamatsu, Yu Tsao:
Sensing ecosystem dynamics via audio source separation: A case study of marine soundscapes off northeastern Taiwan. PLoS Comput. Biol. 17(2) (2021) - [j55]Fatma S. Abousaleh, Wen-Huang Cheng, Neng-Hao Yu, Yu Tsao:
Multimodal Deep Learning Framework for Image Popularity Prediction on Social Media. IEEE Trans. Cogn. Dev. Syst. 13(3): 679-692 (2021) - [j54]Rung-Yu Tseng, Taowei Wang, Szu-Wei Fu, Chia-Ying Lee, Yu Tsao:
A Study of Joint Effect on Denoising Techniques and Visual Cues to Improve Speech Intelligibility in Cochlear Implant Simulation. IEEE Trans. Cogn. Dev. Syst. 13(4): 984-994 (2021) - [j53]Xugang Lu, Peng Shen, Yu Tsao, Hisashi Kawai:
Coupling a Generative Model With a Discriminative Learning Framework for Speaker Verification. IEEE ACM Trans. Audio Speech Lang. Process. 29: 3631-3641 (2021) - [j52]Shintami Chusnul Hidayati, Ting Wei Goh, Ji-Sheng Gary Chan, Cheng-Chun Hsu, John See, Lai-Kuan Wong, Kai-Lung Hua, Yu Tsao, Wen-Huang Cheng:
Dress With Style: Learning Style From Joint Deep Embedding of Clothing Styles and Body Shapes. IEEE Trans. Multim. 23: 365-377 (2021) - [c175]Yen-Ju Lu, Yu Tsao, Shinji Watanabe:
A Study on Speech Enhancement Based on Diffusion Probabilistic Model. APSIPA ASC 2021: 659-666 - [c174]Xugang Lu, Peng Shen, Yu Tsao, Hisashi Kawai:
Siamese Neural Network with Joint Bayesian Model Structure for Speaker Verification. APSIPA ASC 2021: 769-774 - [c173]Yi-Syuan Liou, Wen-Chin Huang, Ming-Chi Yen, Shu-Wei Tsai, Yu-Huai Peng, Tomoki Toda, Yu Tsao, Hsin-Min Wang:
Time Alignment using Lip Images for Frame-based Electrolaryngeal Voice Conversion. APSIPA ASC 2021: 1234-1238 - [c172]Zicheng Feng, Yu Tsao, Fei Chen:
Estimation and Correction of Relative Transfer Function for Binaural Speech Separation Networks to Preserve Spatial Cues. APSIPA ASC 2021: 1239-1244 - [c171]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 - [c170]Xuankai Chang, Takashi Maekaku, Pengcheng Guo, Jing Shi, Yen-Ju Lu, Aswin Shanmugam Subramanian, Tianzi Wang, Shu-Wen Yang, Yu Tsao, Hung-yi Lee, Shinji Watanabe:
An Exploration of Self-Supervised Pretrained Representations for End-to-End Speech Recognition. ASRU 2021: 228-235 - [c169]Ming-Chi Yen, Wen-Chin Huang, Kazuhiro Kobayashi, Yu-Huai Peng, Shu-Wei Tsai, Yu Tsao, Tomoki Toda, Jyh-Shing Roger Jang, Hsin-Min Wang:
Mandarin Electrolaryngeal Speech Voice Conversion with Sequence-to-Sequence Modeling. ASRU 2021: 650-657 - [c168]Hsin-Tien Chiang, Yi-Chiao Wu, Cheng Yu, Tomoki Toda, Hsin-Min Wang, Yih-Chun Hu, Yu Tsao:
HASA-Net: A Non-Intrusive Hearing-Aid Speech Assessment Network. ASRU 2021: 907-913 - [c167]Ting-Yang Lu, Kai-Chun Liu, Chia-Yeh Hsieh, Chih-Ya Chang, Yu Tsao, Chia-Tai Chan:
Instrumented shoulder functional assessment using inertial measurement units for frozen shoulder. BHI 2021: 1-4 - [c166]Ryandhimas E. Zezario, Chiou-Shann Fuh, Hsin-Min Wang, Yu Tsao:
Speech Enhancement with Zero-Shot Model Selection. EUSIPCO 2021: 491-495 - [c165]Yu-Wen Chen, Kuo-Hsuan Hung, Shang-Yi Chuang, Jonathan Sherman, Xugang Lu, Yu Tsao:
A Study of Incorporating Articulatory Movement Information in Speech Enhancement. EUSIPCO 2021: 496-500 - [c164]Yuan-Kuei Wu, Kuan-Po Huang, Yu Tsao, Hung-yi Lee:
One Shot Learning for Speech Separation. ICASSP 2021: 5769-5773 - [c163]Xugang Lu, Peng Shen, Yu Tsao, Hisashi Kawai:
Unsupervised Neural Adaptation Model Based on Optimal Transport for Spoken Language Identification. ICASSP 2021: 7213-7217 - [c162]Tsun-An Hsieh, Cheng Yu, Szu-Wei Fu, Xugang Lu, Yu Tsao:
Improving Perceptual Quality by Phone-Fortified Perceptual Loss Using Wasserstein Distance for Speech Enhancement. Interspeech 2021: 196-200 - [c161]Szu-Wei Fu, Cheng Yu, Tsun-An Hsieh, Peter Plantinga, Mirco Ravanelli, Xugang Lu, Yu Tsao:
MetricGAN+: An Improved Version of MetricGAN for Speech Enhancement. Interspeech 2021: 201-205 - [c160]Wen-Chin Huang, Kazuhiro Kobayashi, Yu-Huai Peng, Ching-Feng Liu, Yu Tsao, Hsin-Min Wang, Tomoki Toda:
A Preliminary Study of a Two-Stage Paradigm for Preserving Speaker Identity in Dysarthric Voice Conversion. Interspeech 2021: 1329-1333 - [c159]Gang-Xuan Lin, Shih-Wei Hu, Yen-Ju Lu, Yu Tsao, Chun-Shien Lu:
QISTA-Net-Audio: Audio Super-Resolution via Non-Convex ℓ_q-Norm Minimization. Interspeech 2021: 1639-1643 - [c158]Yi-Chiao Wu, Cheng-Hung Hu, Hung-Shin Lee, Yu-Huai Peng, Wen-Chin Huang, Yu Tsao, Hsin-Min Wang, Tomoki Toda:
Relational Data Selection for Data Augmentation of Speaker-Dependent Multi-Band MelGAN Vocoder. Interspeech 2021: 3630-3634 - [c157]Yu-Wen Chen, Kuo-Hsuan Hung, Shang-Yi Chuang, Jonathan Sherman, Wen-Chin Huang, Xugang Lu, Yu Tsao:
EMA2S: An End-to-End Multimodal Articulatory-to-Speech System. ISCAS 2021: 1-5 - [c156]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 - [c155]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 - [c154]Lichin Chen, Ji-Tian Sheu, Yu Tsao, Yuh-Jue Chuang:
Deep Learning and Explainable Artificial Intelligence to Predict Patients' Choice of Hospital Levels in Urban and Rural Areas. MedInfo 2021: 734-738 - [c153]Hsin-Yi Lin, Huan-Hsin Tseng, Xugang Lu, Yu Tsao:
Unsupervised Noise Adaptive Speech Enhancement by Discriminator-Constrained Optimal Transport. NeurIPS 2021: 19935-19946 - [c152]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 - [c151]Cheng-Chung Fan, Chia-Chih Kuo, Shang-Bao Luo, Pei-Jun Liao, Kuang-Yu Chang, Chiao-Wei Hsu, Meng-Tse Wu, Shih-Hong Tsai, Tzu-Man Wu, Aleksandra Smolka, Chao-Chun Liang, Hsin-Min Wang, Kuan-Yu Chen, Yu Tsao, Keh-Yih Su:
A Flexible and Extensible Framework for Multiple Answer Modes Question Answering. ROCLING 2021: 33-42 - [i82]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) - [i81]Xugang Lu, Peng Shen, Yu Tsao, Hisashi Kawai:
Integrating a joint Bayesian generative model in a discriminative learning framework for speaker verification. CoRR abs/2101.03329 (2021) - [i80]Yu-Wen Chen, Kuo-Hsuan Hung, Shang-Yi Chuang, Jonathan Sherman, Wen-Chin Huang, Xugang Lu, Yu Tsao:
EMA2S: An End-to-End Multimodal Articulatory-to-Speech System. CoRR abs/2102.03786 (2021) - [i79]Xugang Lu, Peng Shen, Yu Tsao, Hisashi Kawai:
Siamese Neural Network with Joint Bayesian Model Structure for Speaker Verification. CoRR abs/2104.03004 (2021) - [i78]Cheng-Hung Hu, Yi-Chiao Wu, Wen-Chin Huang, Yu-Huai Peng, Yu-Wen Chen, Pin-Jui Ku, Tomoki Toda, Yu Tsao, Hsin-Min Wang:
The AS-NU System for the M2VoC Challenge. CoRR abs/2104.03009 (2021) - [i77]