| Parallel WaveGAN: A fast waveform generation model based on generative adversarial networks with multi-resolution spectrogram R Yamamoto, E Song, JM Kim ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 800 | 2020 |
| Effective spectral and excitation modeling techniques for LSTM-RNN-based speech synthesis systems E Song, FK Soong, HG Kang IEEE/ACM Transactions on Audio, Speech, and Language Processing 25 (11 …, 2017 | 68 | 2017 |
| Probability density distillation with generative adversarial networks for high-quality parallel waveform generation R Yamamoto, E Song, JM Kim arXiv preprint arXiv:1904.04472, 2019 | 54 | 2019 |
| ExcitNet vocoder: A neural excitation model for parametric speech synthesis systems E Song, K Byun, HG Kang 2019 27th European Signal Processing Conference (EUSIPCO), 1-5, 2019 | 41 | 2019 |
| TTS-by-TTS: TTS-driven data augmentation for fast and high-quality speech synthesis MJ Hwang, R Yamamoto, E Song, JM Kim ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 36 | 2021 |
| LP-WaveNet: Linear prediction-based WaveNet speech synthesis MJ Hwang, F Soong, E Song, X Wang, H Kang, HG Kang 2020 Asia-Pacific Signal and Information Processing Association Annual …, 2020 | 31 | 2020 |
| HierSpeech: Bridging the gap between text and speech by hierarchical variational inference using self-supervised representations for speech synthesis SH Lee, SB Kim, JH Lee, E Song, MJ Hwang, SW Lee Advances in Neural Information Processing Systems 35, 16624-16636, 2022 | 27 | 2022 |
| Parallel waveform synthesis based on generative adversarial networks with voicing-aware conditional discriminators R Yamamoto, E Song, MJ Hwang, JM Kim ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 20 | 2021 |
| Improved Parallel WaveGAN vocoder with perceptually weighted spectrogram loss E Song, R Yamamoto, MJ Hwang, JS Kim, O Kwon, JM Kim 2021 IEEE Spoken Language Technology Workshop (SLT), 470-476, 2021 | 20 | 2021 |
| Cross-speaker emotion transfer for low-resource text-to-speech using non-parallel voice conversion with pitch-shift data augmentation R Terashima, R Yamamoto, E Song, Y Shirahata, HW Yoon, JM Kim, ... arXiv preprint arXiv:2204.10020, 2022 | 15 | 2022 |
| High-Fidelity Parallel WaveGAN with Multi-Band Harmonic-Plus-Noise Model. MJ Hwang, R Yamamoto, E Song, JM Kim Interspeech, 2227-2231, 2021 | 14 | 2021 |
| Improving lpcnet-based text-to-speech with linear prediction-structured mixture density network MJ Hwang, E Song, R Yamamoto, F Soong, HG Kang ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 14 | 2020 |
| Language model-based emotion prediction methods for emotional speech synthesis systems HW Yoon, O Kwon, H Lee, R Yamamoto, E Song, JM Kim, MJ Hwang arXiv preprint arXiv:2206.15067, 2022 | 12 | 2022 |
| Neural text-to-speech with a modeling-by-generation excitation vocoder E Song, MJ Hwang, R Yamamoto, JS Kim, O Kwon, JM Kim arXiv preprint arXiv:2008.00132, 2020 | 11 | 2020 |
| Improved time-frequency trajectory excitation modeling for a statistical parametric speech synthesis system E Song, YS Joo, HG Kang 2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015 | 10 | 2015 |
| Period VITS: variational inference with explicit pitch modeling for end-to-end emotional speech synthesis Y Shirahata, R Yamamoto, E Song, R Terashima, JM Kim, K Tachibana ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 7 | 2023 |
| LiteTTS: A Lightweight Mel-Spectrogram-Free Text-to-Wave Synthesizer Based on Generative Adversarial Networks. HK Nguyen, K Jeong, SY Um, MJ Hwang, E Song, HG Kang Interspeech, 3595-3599, 2021 | 7 | 2021 |
| Effective parameter estimation methods for an excitnet model in generative text-to-speech systems O Kwon, E Song, JM Kim, HG Kang arXiv preprint arXiv:1905.08486, 2019 | 7 | 2019 |
| Deep neural network-based statistical parametric speech synthesis system using improved time-frequency trajectory excitation model. E Song, HG Kang INTERSPEECH, 874-878, 2015 | 7 | 2015 |
| TTS-by-TTS 2: Data-selective augmentation for neural speech synthesis using ranking support vector machine with variational autoencoder E Song, R Yamamoto, O Kwon, CH Song, MJ Hwang, S Oh, HW Yoon, ... arXiv preprint arXiv:2206.14984, 2022 | 6 | 2022 |
