ctc_decoders
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nglehuy
Baidu's CTC Decoders, including Greedy, Beam Search and Beam Search with KenLM Language Model
This beam search decoder implementation was originally taken from Baidu DeepSpech project: https://github.com/PaddlePaddle/DeepSpeech/tree/master/decoders/swig
Git commit: https://github.com/PaddlePaddle/DeepSpeech/commit/a76fc692123e97e5f183c3a00e30b7f2e2d3f07c
Copyright 2019 Baidu, Inc. Copyright 2019 NVIDIA Corporation
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.
Changes: modified: decoder_utils.cpp modified: setup.py modified: setup.sh modified: ctc_beam_search_decoder.cpp modified: ctc_beam_search_decoder.h renamed: swig_decoders.py -> ctc_decoders.py modified: ctc_decoders.py
Dependencies
# Ubuntu
sudo apt install libboost-all-dev swig sox
# Arch
sudo pacman -Syu boost swig sox
Install
# Run
./setup.sh
Usage
See example/decode.py for usage.
nglehuy