This repository reproduces VALL-E, a neural codec language model that synthesizes speech from text in a zero-shot manner while preserving speaker identity. It provides training scripts and model implementation using PyTorch, with support for phonemizer and audio processing libraries. The project includes reproduced demos and leverages icefall and k2 libraries for training infrastructure.