Fixing the bug when your target vocab lisr containing word or chinese char.
In the original code, the word list can only have numbers, letters, or single-byte characters, because this is done when passing from Python to C ++ code.
self._labels = ''.join(labels).encode()I modified here, and passed the python list directly, and then when binding, the accepted parameters were changed from char to vector.
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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 1.0. 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 .