50 citations · 82 across the 13 of their papers we have counts for
3 papers · 1 filter
Parallel WaveGAN: A fast waveform generation model based on generative adversarial networks with multi-resolution spectrogram
Ryuichi Yamamoto, Eunwoo Song, Jae-Min Kim
We propose Parallel WaveGAN, a distillation-free, fast, and small-footprint waveform generation method using a generative adversarial network. In the proposed method, a non-autoreg…
Effective parameter estimation methods for an ExcitNet model in generative text-to-speech systems
Ohsung Kwon, Eunwoo Song, Jae-Min Kim +1
In this paper, we propose a high-quality generative text-to-speech (TTS) system using an effective spectrum and excitation estimation method. Our previous research verified the eff…
Probability density distillation with generative adversarial networks for high-quality parallel waveform generation
Ryuichi Yamamoto, Eunwoo Song, Jae-Min Kim
This paper proposes an effective probability density distillation (PDD) algorithm for WaveNet-based parallel waveform generation (PWG) systems. Recently proposed teacher-student fr…