Showing 1-8 of 8 projects
๐ธTTS is a deep learning toolkit for advanced Text-to-Speech generation with 1100+ languages and tools for training and fine-tuning models.
A deep learning library for text-to-speech applications, focusing on generating high-quality speech from text.
A PyTorch implementation of Tacotron 2, a state-of-the-art text-to-speech model, with faster-than-realtime inference.
A TensorFlow implementation of Google's Tacotron speech synthesis with pre-trained model
Tacotron-2 is a state-of-the-art text-to-speech model that vibe coders can use to build speech synthesis applications.
A high-quality neural vocoder and text-to-speech (TTS) library built with PyTorch.
A TensorFlow-based end-to-end text-to-speech synthesis model for vibe coders working on AI-powered applications.
A PyTorch-based library for zero-shot voice style transfer using only autoencoder loss.
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