Search Results for author: Youngik Kim

Found 2 papers, 1 papers with code

GANSpeech: Adversarial Training for High-Fidelity Multi-Speaker Speech Synthesis

no code implementations29 Jun 2021 Jinhyeok Yang, Jae-Sung Bae, Taejun Bak, Youngik Kim, Hoon-Young Cho

Recent advances in neural multi-speaker text-to-speech (TTS) models have enabled the generation of reasonably good speech quality with a single model and made it possible to synthesize the speech of a speaker with limited training data.

Speech Synthesis

VocGAN: A High-Fidelity Real-time Vocoder with a Hierarchically-nested Adversarial Network

2 code implementations30 Jul 2020 Jinhyeok Yang, Jun-Mo Lee, Youngik Kim, Hoon-Young Cho, Injung Kim

Additionally, compared with Parallel WaveGAN, another recently developed high-fidelity vocoder, VocGAN is 6. 98x faster on a CPU and exhibits higher MOS.

Speech Synthesis

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