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WaveNet 聲碼器及其於語音轉換之應用 (WaveNet Vocoder and its Applications in Voice Conversion) In Chinese.

, , , , and . ROCLING, page 96-110. The Association for Computational Linguistics and Chinese Language Processing (ACLCLP), (2018)

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Unsupervised Representation Disentanglement Using Cross Domain Features and Adversarial Learning in Variational Autoencoder Based Voice Conversion., , , , , , and . IEEE Trans. Emerg. Top. Comput. Intell., 4 (4): 468-479 (2020)Lite Audio-Visual Speech Enhancement., , , and . INTERSPEECH, page 1131-1135. ISCA, (2020)Investigation of F0 Conditioning and Fully Convolutional Networks in Variational Autoencoder Based Voice Conversion., , , , , , , , and . INTERSPEECH, page 709-713. ISCA, (2019)RCDPT: Radar-Camera fusion Dense Prediction Transformer., and . CoRR, (2022)How much depth information can radar infer and contribute., and . CoRR, (2022)Depth Estimation From Monocular Images And Sparse Radar Using Deep Ordinal Regression Network., and . ICIP, page 3343-3347. IEEE, (2021)WaveNet 聲碼器及其於語音轉換之應用 (WaveNet Vocoder and its Applications in Voice Conversion) In Chinese., , , , and . ROCLING, page 96-110. The Association for Computational Linguistics and Chinese Language Processing (ACLCLP), (2018)RCDPT: Radar-Camera Fusion Dense Prediction Transformer., and . ICASSP, page 1-5. IEEE, (2023)How much depth information can radar contribute to a depth estimation model?, and . Autonomous Vehicles and Machines, page 1-7. Society for Imaging Science and Technology, (2023)Expanding Sparse Radar Depth Based on Joint Bilateral Filter for Radar-Guided Monocular Depth Estimation., and . Sensors, 24 (6): 1864 (March 2024)