| Direct Noisy Speech Modeling for Noisy-To-Noisy Voice Conversion. | 0 | 0.34 | 2022 |
| High-Fidelity and Low-Latency Universal Neural Vocoder Based on Multiband WaveRNN with Data-Driven Linear Prediction for Discrete Waveform Modeling. | 0 | 0.34 | 2021 |
| Noisy-to-Noisy Voice Conversion Framework with Denoising Model | 0 | 0.34 | 2021 |
| CRANK: AN OPEN-SOURCE SOFTWARE FOR NONPARALLEL VOICE CONVERSION BASED ON VECTOR-QUANTIZED VARIATIONAL AUTOENCODER | 0 | 0.34 | 2021 |
| A Cyclical Post-filtering Approach to Mismatch Refinement of Neural Vocoder for Text-to-speech Systems | 0 | 0.34 | 2020 |
| Cross-Lingual Voice Conversion using a Cyclic Variational Auto-encoder and a WaveNet Vocoder | 0 | 0.34 | 2020 |
| Semi-Supervised Enhancement And Suppression Of Self-Produced Speech Using Correspondence Between Air- And Body-Conducted Signals | 0 | 0.34 | 2020 |
| Cyclic Spectral Modeling for Unsupervised Unit Discovery into Voice Conversion with Excitation and Waveform Modeling. | 1 | 0.34 | 2020 |
| Investigation of Shallow Wavenet Vocoder with Laplacian Distribution Output | 0 | 0.34 | 2019 |
| Investigation of F0 Conditioning and Fully Convolutional Networks in Variational Autoencoder Based Voice Conversion. | 1 | 0.35 | 2019 |
| Non-Parallel Voice Conversion with Cyclic Variational Autoencoder | 2 | 0.36 | 2019 |
| Voice Conversion With Cyclic Recurrent Neural Network And Fine-Tuned Wavenet Vocoder | 0 | 0.34 | 2019 |
| Investigation of F0 conditioning and Fully Convolutional Networks in Variational Autoencoder based Voice Conversion | 3 | 0.36 | 2019 |
| Quasi-Periodic WaveNet Vocoder: A Pitch Dependent Dilated Convolution Model for Parametric Speech Generation | 1 | 0.34 | 2019 |
| Voice Conversion With Cyclernn-Based Spectral Mapping And Finely Tuned Wavenet Vocoder | 0 | 0.34 | 2019 |
| An Evaluation of Deep Spectral Mappings and WaveNet Vocoder for Voice Conversion. | 1 | 0.34 | 2018 |
| NU Voice Conversion System for the Voice Conversion Challenge 2018. | 1 | 0.34 | 2018 |
| Refined Wavenet Vocoder For Variational Autoencoder Based Voice Conversion | 3 | 0.37 | 2018 |
| The NU Non-Parallel Voice Conversion System for the Voice Conversion Challenge 2018. | 1 | 0.34 | 2018 |
| Deep acoustic-to-articulatory inversion mapping with latent trajectory modeling. | 0 | 0.34 | 2017 |
| Articulatory Controllable Speech Modification Based on Statistical Inversion and Production Mappings. | 0 | 0.34 | 2017 |
| Articulatory Controllable Speech Modification Based On Gaussian Mixture Models With Direct Waveform Modification Using Spectrum Differential | 1 | 0.35 | 2015 |
| Articulatory controllable speech modification based on statistical feature mapping with Gaussian mixture models. | 0 | 0.34 | 2014 |
