WebWaveGAN to Glow-WaveGAN 2, aiming to solve the problem from both stages for high-quality zero-shot text-to-speech and any-to-any voice conversion. We rst build a universal Wave-GAN model for extracting latent distribution p(z) of speech and reconstructing waveform from it. Then a ow-based acous- WebSpecifically, our proposed Glow-WaveGAN consists of a WaveGAN and a Flow-based acoustic model. The pro- posed WaveGAN utilizes GAN-based variational auto-encoder …

Jian Cong DeepAI

WebWaveGAN means the VAE + GAN model, which can be used to reconstruct input speech. 1. Single speaker (LJSpeech) 1.1 Reconstruction to waveform from speech representations … WebJul 5, 2024 · The superiority of Glow-WaveGAN 2 has been proved through TTS and VC experiments conducted on LibriTTS corpus and VTCK corpus. high-quality universal vocoder. And the goal of flow-based multi-speaker acoustic model is to model the latent distributions conditioned on speaker constraints. We explore different speaker modeling … haslington events

Glow-WaveGAN: Learning Speech Representations from …

WebJun 21, 2024 · Results demonstrate that the flow-based acoustic model can exactly model the distribution of our learned speech representation and the proposed TTS framework, namely Glow-WaveGAN, can produce high fidelity speech outperforming the state-of-the-art GAN-based model. WebGlow-WaveGAN 2: High-quality Zero-shot Text-to-speech Synthesis and Any-to-any Voice Conversion Yi Lei, Shan Yang, Jian Cong, Lei Xie, Dan Su. The zero-shot scenario for speech generation aims at synthesizing a novel unseen voice with only one utterance of the target speaker. Although the challenges of adapting new voices in zero-shot scenario ... WebPast 2024 Shows Georgia Ensemble Theatre – Matinee and Evening – Sold Out Canton Theatre – Matinee and Evening – Sold Out (Private) DeLand Fla (Private) DeLand Fla … boomstick discount code 2021