githubharald/CTCDecoder
Connectionist Temporal Classification (CTC) decoding algorithms: best path, beam search, lexicon search, prefix search, and token passing. Implemented in Python.
Supports optional character-level language models using bigram statistics and BK-tree-based lexicon search with configurable edit distance tolerance for dictionary-constrained decoding. Designed for direct integration with RNN outputs from deep learning frameworks—expects TxC shaped softmax-normalized numpy arrays with CTC-blank as the final character dimension, handling batch processing and framework-specific blank positioning conventions.
835 stars.
Stars
835
Forks
179
Language
Python
License
MIT
Category
Last pushed
Jan 31, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/voice-ai/githubharald/CTCDecoder"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Compare
Related tools
githubharald/CTCWordBeamSearch
Connectionist Temporal Classification (CTC) decoder with dictionary and language model.
nl8590687/ASRT_SpeechRecognition
A Deep-Learning-Based Chinese Speech Recognition System 基于深度学习的中文语音识别系统
scionoftech/DeepAsr
Keras(Tensorflow) implementations of Automatic Speech Recognition
athena-team/athena
an open-source implementation of sequence-to-sequence based speech processing engine
hirofumi0810/tensorflow_end2end_speech_recognition
End-to-End speech recognition implementation base on TensorFlow (CTC, Attention, and MTL training)