128 citations · 396 across the 49 of their papers we have counts for
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Fre-GAN: Adversarial Frequency-consistent Audio Synthesis
Ji-Hoon Kim, Sang-Hoon Lee, Ji-Hyun Lee +1
Although recent works on neural vocoder have improved the quality of synthesized audio, there still exists a gap between generated and ground-truth audio in frequency space. This d…
Reinforce-Aligner: Reinforcement Alignment Search for Robust End-to-End Text-to-Speech
Hyunseung Chung, Sang-Hoon Lee, Seong-Whan Lee
Text-to-speech (TTS) synthesis is the process of producing synthesized speech from text or phoneme input. Traditional TTS models contain multiple processing steps and require exter…
Multi-SpectroGAN: High-Diversity and High-Fidelity Spectrogram Generation with Adversarial Style Combination for Speech Synthesis
Sang-Hoon Lee, Hyun-Wook Yoon, Hyeong-Rae Noh +2
While generative adversarial networks (GANs) based neural text-to-speech (TTS) systems have shown significant improvement in neural speech synthesis, there is no TTS system to lear…
Audio Dequantization for High Fidelity Audio Generation in Flow-based Neural Vocoder
Hyun-Wook Yoon, Sang-Hoon Lee, Hyeong-Rae Noh +1
In recent works, a flow-based neural vocoder has shown significant improvement in real-time speech generation task. The sequence of invertible flow operations allows the model to c…