#TensorFlowTTS

A desktop application built in C++/Qt that simplifies neural speech synthesis by using TensorFlowTTS, Coqui-TTS, and VITS, minimizing the need for extensive Python installations. It supports efficient inference on Windows via Tensorflow and LibTorch, and provides models for English, German, and Spanish. Comprehensive guides and instructions enable easy model implementation.

Explore TensorFlow 2's capabilities for state-of-the-art speech synthesis with models like Tacotron-2, FastSpeech, and MelGAN. The project enhances training efficiency and inference speed, making it suitable for real-time use on mobile and embedded systems. It supports multiple languages and offers comprehensive documentation for easy integration. Learn more about innovations such as the HiFi-GAN vocoder and guided attention loss for high-quality speech synthesis.