Issue Date | Title | Author(s) | Relation | scopus | WOS | Fulltext/Archive link |
---|---|---|---|---|---|---|
2022 | Mandarin Singing Voice Synthesis with Denoising Diffusion Probabilistic Wasserstein GAN | Yin-Ping Cho; Yu Tsao; Hsin-Min Wang ; Yi-Wen Liu | ||||
2022 | MBI-Net: A Non-Intrusive Multi-Branched Speech Intelligibility Prediction Model for Hearing Aids | Ryandhimas Edo Zezario; Fei Chen; Chiou-Shann Fuh; Hsin-Min Wang ; Yu Tsao | ||||
2019 | MOSNet: Deep Learning based Objective Assessment for Voice Conversion | Chen-Chou Lo; Szu-Wei Fu; Wen-Chin Huang; Xin Wang; Junichi Yamagishi; Yu Tsao; Hsin-Min Wang | ||||
2022 | MTI-Net: A Multi-Target Speech Intelligibility Prediction Model | Ryandhimas Edo Zezario; Szu-wei Fu; Fei Chen; Chiou-Shann Fuh; Hsin-Min Wang ; Yu Tsao | ||||
2022 | Multimodal Forgery Detection Using Ensemble Learning | Ammarah Hashmi; Sahibzada Adil Shahzad; Chia-Wen Lin; Yu Tsao; Hsin-Min Wang | ||||
2022 | NASTAR: Noise Adaptive Speech Enhancement with Target-Conditional Resampling | Chi-Chang Lee; Cheng-Hung Hu; Yu-Chen Lin; Chu-Song Chen ; Hsin-Min Wang; Yu Tsao | ||||
2019 | Noise Adaptive Speech Enhancement using Domain Adversarial Training | Chien-Feng Liao; Yu Tsao; Hung-Yi Lee; Hsin-Min Wang | ||||
2018 | Quality-Net: An End-to-End Non-intrusive Speech Quality Assessment Model based on BLSTM | Szu-wei Fu; Yu Tsao; Hsin-Te Hwang; Hsin-Min Wang | ||||
2019 | Reinforcement Learning based Speech Enhancement for Robust Speech Recognition | Yih-Liang Shen; Chao-Yuan Huang; Syu-Siang Wang; Yu Tsao; Hsin-Min Wang ; Tai-Shih Chi | ||||
2020 | Self-Supervised Denoising Autoencoder with Linear Regression Decoder for Speech Enhancement | Ryandhimas Edo Zezario; Tassadaq Hussain; Xugang Lu; Hsin-Min Wang ; Yu Tsao | ||||
2021 | Sensing ecosystem dynamics via audio source separation: A case study of marine soundscapes off northeastern Taiwan | Tzu-Hao Lin ; Tomonari Akamatsu; Yu Tsao | PLOS COMPUTATIONAL BIOLOGY 17(2), e1008698 | |||
2020 | SERIL: Noise Adaptive Speech Enhancement using Regularization-based Incremental Learning | Chi-Chang Lee; Yu-Chen Lin; Hsuan-Tien Lin; Hsin-Min Wang ; Yu Tsao | ||||
2014 | Speaker Verification Using Kernel-Based Binary Classifiers with Binary Operation Derived Features | Hung-Shin Lee; Yu Tsao; Yun-Fan Chang; Hsin-Min Wang; Shyh-Kang Jeng | ||||
2019 | Specialized Speech Enhancement Model Selection Based on Learned Non-Intrusive Quality Assessment Metric | Ryandhimas Edo Zezario; Szu-wei Fu; Xugang Lu; Hsin-Min Wang ; Yu Tsao | ||||
2022 | Speech Enhancement-Assisted Voice Conversion in Noisy Environments | Yun-Ju Chan; Chiang-Jen Peng; Syu-Siang Wang; Hsin-Min Wang ; Yu Tsao; Tai-Shih Chi | ||||
2020 | STOI-Net: A Deep Learning based Non-Intrusive Speech Intelligibility Assessment Model | Ryandhimas E. Zezario; Szu-Wei Fu; Chiou-Shann Fuh; Yu Tsao; Hsin-Min Wang | ||||
2020 | The Academia Sinica Systems of Speech Recognition and Speaker Diarization for the CHiME-6 Challenge | Hung-Shin Lee; Yu-Huai Peng; Pin-Tuan Huang; Ying-Chun Tseng; Chia-Hua Wu; Yu Tsao; Hsin-Min Wang | ||||
2020 | The Academia Sinica Systems of Voice Conversion for VCC2020 | Yu-Huai Peng; Cheng-Hung Hu; Alexander Kang; Hung-Shin Lee; Pin-Yuan Chen; Yu Tsao; Hsin-Min Wang | ||||
2022 | The VoiceMOS Challenge 2022 | Wen Chin Huang; Erica Cooper; Yu Tsao; Hsin-Min Wang ; Tomoki Toda; Junichi Yamagishi | ||||
2018 | Voice Conversion Based on Cross-Domain Features Using Variational Auto Encoders | Wen-Chin Huang; Hsin-Te Hwang; Yu-Huai Peng; Yu Tsao; Hsin-Min Wang |