tacotron

Why we included this project

When Google published its Tacotron paper in 2017, it did not release the source code, so this TensorFlow reimplementation became one of the easier places to study the original end-to-end approach. Instead of chaining separate text analysis and acoustic mapping stages, the model learns directly from (text, audio) pairs, which is the core idea that made the paper influential. A pre-trained checkpoint ships with the repo, and the bundled demo server lets you type a sentence into a browser and hear speech in a few minutes without touching training data. Training your own voice is documented too, covering dataset preprocessing like LJ Speech and how to watch progress in TensorBoard. Just note that it targets TensorFlow 1.x and the 2018 state of the art, so treat it as a clear reference for learning rather than something to drop into a modern TTS stack.