DiffGAN-TTS
Discover the PyTorch implementation for high-quality and efficient text-to-speech synthesis using Denoising Diffusion GANs. This architecture supports single and multi-speaker capabilities across datasets such as LJSpeech and VCTK. Using a dual-stage diffusion process, it offers improved audio fidelity and allows control over aspects like pitch, volume, and speech rate. Utilizing pre-trained FastSpeech2 models provides strong support for both naive and shallow model training. The framework includes TensorBoard integration, facilitating comprehensive audio analysis and performance monitoring.
