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Source-Filter HiFi-GAN: Fast and Pitch Controllable High-Fidelity Neural Vocoder.

, , and . ICASSP, page 1-5. IEEE, (2023)

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Source-Filter HiFi-GAN: Fast and Pitch Controllable High-Fidelity Neural Vocoder., , and . ICASSP, page 1-5. IEEE, (2023)Voice Conversion with Cyclic Recurrent Neural Network and Fine-tuned Wavenet Vocoder., , , , and . ICASSP, page 6815-6819. IEEE, (2019)Quasi-Periodic Parallel WaveGAN Vocoder: A Non-Autoregressive Pitch-Dependent Dilated Convolution Model for Parametric Speech Generation., , , , and . INTERSPEECH, page 3535-3539. ISCA, (2020)Unified Source-Filter GAN with Harmonic-plus-Noise Source Excitation Generation., , and . INTERSPEECH, page 848-852. ISCA, (2022)Unified Source-Filter GAN: Unified Source-Filter Network Based On Factorization of Quasi-Periodic Parallel WaveGAN., , and . Interspeech, page 2187-2191. ISCA, (2021)Non-Parallel Voice Conversion with Cyclic Variational Autoencoder., , , , and . INTERSPEECH, page 674-678. ISCA, (2019)NU Voice Conversion System for the Voice Conversion Challenge 2018., , , , and . Odyssey, page 219-226. ISCA, (2018)A meta-analysis of fMRI studies on Chinese orthographic, phonological, and semantic processing., , and . NeuroImage, 63 (1): 381-391 (2012)Preschoolers' brains rely on semantic cues prior to the mastery of syntax during sentence comprehension., , , and . NeuroImage, (2016)Voice Transformer Network: Sequence-to-Sequence Voice Conversion Using Transformer with Text-to-Speech Pretraining., , , , and . CoRR, (2019)