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Voice Conversion with Cyclic Recurrent Neural Network and Fine-tuned Wavenet Vocoder., , , , and . ICASSP, page 6815-6819. IEEE, (2019)Source-Filter HiFi-GAN: Fast and Pitch Controllable High-Fidelity Neural Vocoder., , and . ICASSP, page 1-5. IEEE, (2023)NU Voice Conversion System for the Voice Conversion Challenge 2018., , , , and . Odyssey, page 219-226. ISCA, (2018)EMO-Codec: An In-Depth Look at Emotion Preservation capacity of Legacy and Neural Codec Models With Subjective and Objective Evaluations., , , , , , , and . CoRR, (2024)The NU Voice Conversion System for the Voice Conversion Challenge 2020: On the Effectiveness of Sequence-to-sequence Models and Autoregressive Neural Vocoders., , , , and . Blizzard Challenge / Voice Conversion Challenge, ISCA, (2020)Unified Source-Filter GAN: Unified Source-Filter Network Based On Factorization of Quasi-Periodic Parallel WaveGAN., , and . Interspeech, page 2187-2191. ISCA, (2021)Unified Source-Filter GAN with Harmonic-plus-Noise Source Excitation Generation., , and . INTERSPEECH, page 848-852. ISCA, (2022)Non-Parallel Voice Conversion with Cyclic Variational Autoencoder., , , , and . INTERSPEECH, page 674-678. ISCA, (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)Codec-SUPERB @ SLT 2024: A lightweight benchmark for neural audio codec models., , , , , , , , , and 6 other author(s). CoRR, (2024)