ctcdecode is an implementation of CTC (Connectionist Temporal Classification) beam search decoding for PyTorch. C++ code borrowed liberally from Paddle Paddles' DeepSpeech. It includes swappable scorer support enabling standard beam search, and KenLM-based decoding.

The library is largely self-contained and requires only PyTorch and CFFI. Building the C++ library requires gcc or clang. KenLM language modeling support is also optionally included, and enabled by default.

# get the code
git clone --recursive https://github.com/parlance/ctcdecode.git
cd ctcdecode
pip install .