| Mosnet: Deep learning based objective assessment for voice conversion CC Lo, SW Fu, WC Huang, X Wang, J Yamagishi, Y Tsao, HM Wang INTERSPEECH 2019, 2019 | 296 | 2019 |
| Unsupervised representation disentanglement using cross domain features and adversarial learning in variational autoencoder based voice conversion WC Huang, H Luo, HT Hwang, CC Lo, YH Peng, Y Tsao, HM Wang IEEE Transactions on Emerging Topics in Computational Intelligence 4 (4 …, 2020 | 50 | 2020 |
| Depth estimation from monocular images and sparse radar using deep ordinal regression network CC Lo, P Vandewalle ICIP 2021 IEEE International Conference on Image Processing (ICIP), 3343-3347, 2021 | 33 | 2021 |
| Lite audio-visual speech enhancement SY Chuang, Y Tsao, CC Lo, HM Wang 2020 INTERSPEECH, 2020 | 23 | 2020 |
| Investigation of f0 conditioning and fully convolutional networks in variational autoencoder based voice conversion WC Huang, YC Wu, CC Lo, PL Tobing, T Hayashi, K Kobayashi, T Toda, ... 2019 INTERSPEECH, 2019 | 17 | 2019 |
| RCDPT: Radar-Camera Fusion Dense Prediction Transformer CC Lo, P Vandewalle ICASSP 2023 IEEE International Conference on Acoustics, Speech and Signal …, 2023 | 11 | 2023 |
| WaveNet 聲碼器及其於語音轉換之應用 (WaveNet Vocoder and its Applications in Voice Conversion)[In Chinese] WC Huang, CC Lo, HT Hwang, Y Tsao, HM Wang Proceedings of the 30th Conference on Computational Linguistics and Speech …, 2018 | 10 | 2018 |
| How much depth information can radar contribute to a depth estimation model? CC Lo, P Vandewalle IS&T Electronic Imaging 2023 35, pp 122-1 - 122-7, 2023 | 2 | 2023 |
| Expanding Sparse Radar Depth Based on Joint Bilateral Filter for Radar-Guided Monocular Depth Estimation CC Lo, P Vandewalle MDPI-Sensors 2024 6, 2024 | | 2024 |
