| Non-parallel voice conversion with cyclic variational autoencoder PL Tobing, YC Wu, T Hayashi, K Kobayashi, T Toda arXiv preprint arXiv:1907.10185, 2019 | 88 | 2019 |
| The NU Non-Parallel Voice Conversion System for the Voice Conversion Challenge 2018. YC Wu, PL Tobing, T Hayashi, K Kobayashi, T Toda Odyssey, 211-218, 2018 | 31 | 2018 |
| Collapsed speech segment detection and suppression for WaveNet vocoder YC Wu, K Kobayashi, T Hayashi, PL Tobing, T Toda arXiv preprint arXiv:1804.11055, 2018 | 29 | 2018 |
| Refined wavenet vocoder for variational autoencoder based voice conversion WC Huang, YC Wu, HT Hwang, PL Tobing, T Hayashi, K Kobayashi, ... 2019 27th European Signal Processing Conference (EUSIPCO), 1-5, 2019 | 28 | 2019 |
| Quasi-periodic WaveNet: An autoregressive raw waveform generative model with pitch-dependent dilated convolution neural network YC Wu, T Hayashi, PL Tobing, K Kobayashi, T Toda IEEE/ACM Transactions on Audio, Speech, and Language Processing 29, 1134-1148, 2021 | 24 | 2021 |
| Voice conversion with cyclic recurrent neural network and fine-tuned WaveNet vocoder PL Tobing, YC Wu, T Hayashi, K Kobayashi, T Toda ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 22 | 2019 |
| crank: An open-source software for nonparallel voice conversion based on vector-quantized variational autoencoder K Kobayashi, WC Huang, YC Wu, PL Tobing, T Hayashi, T Toda ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 21 | 2021 |
| Quasi-periodic WaveNet vocoder: A pitch dependent dilated convolution model for parametric speech generation YC Wu, T Hayashi, PL Tobing, K Kobayashi, T Toda arXiv preprint arXiv:1907.00797, 2019 | 19 | 2019 |
| NU Voice Conversion System for the Voice Conversion Challenge 2018. PL Tobing, YC Wu, T Hayashi, K Kobayashi, T Toda Odyssey, 219-226, 2018 | 18 | 2018 |
| Baseline system of Voice Conversion Challenge 2020 with cyclic variational autoencoder and Parallel WaveGAN PL Tobing, YC Wu, T Toda arXiv preprint arXiv:2010.04429, 2020 | 17 | 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, ... INTERSPEECH, 709-713, 2019 | 17 | 2019 |
| Deep acoustic-to-articulatory inversion mapping with latent trajectory modeling PL Tobing, H Kameoka, T Toda 2017 Asia-Pacific Signal and Information Processing Association Annual …, 2017 | 16 | 2017 |
| High-fidelity and low-latency universal neural vocoder based on multiband WaveRNN with data-driven linear prediction for discrete waveform modeling PL Tobing, T Toda arXiv preprint arXiv:2105.09856, 2021 | 11 | 2021 |
| Direct noisy speech modeling for noisy-to-noisy voice conversion C Xie, YC Wu, PL Tobing, WC Huang, T Toda ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 10 | 2022 |
| Voice conversion with CycleRNN-based spectral mapping and finely tuned WaveNet vocoder PL Tobing, YC Wu, T Hayashi, K Kobayashi, T Toda IEEE Access 7, 171114-171125, 2019 | 10 | 2019 |
| An evaluation of deep spectral mappings and wavenet vocoder for voice conversion PL Tobing, T Hayashi, YC Wu, K Kobayashi, T Toda 2018 IEEE Spoken Language Technology Workshop (SLT), 297-303, 2018 | 10 | 2018 |
| Noisy-to-noisy voice conversion framework with denoising model C Xie, YC Wu, PL Tobing, WC Huang, T Toda 2021 Asia-Pacific Signal and Information Processing Association Annual …, 2021 | 8 | 2021 |
| Low-latency real-time non-parallel voice conversion based on cyclic variational autoencoder and multiband WaveRNN with data-driven linear prediction PL Tobing, T Toda arXiv preprint arXiv:2105.09858, 2021 | 8 | 2021 |
| Efficient shallow wavenet vocoder using multiple samples output based on laplacian distribution and linear prediction PL Tobing, YC Wu, T Hayashi, K Kobayashi, T Toda ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 8 | 2020 |
| Cyclic Spectral Modeling for Unsupervised Unit Discovery into Voice Conversion with Excitation and Waveform Modeling. PL Tobing, T Hayashi, YC Wu, K Kobayashi, T Toda INTERSPEECH, 4861-4865, 2020 | 8 | 2020 |
Tomoki TodaNagoya UniversityVerified email at icts.nagoya-u.ac.jp
