CTCDecoder and CTCWordBeamSearch
These two tools are complements, as CTCWordBeamSearch is a specialized CTC decoder that likely leverages or extends the foundational CTC decoding algorithms implemented in CTCDecoder by adding dictionary and language model integration for improved word-level recognition.
About CTCDecoder
githubharald/CTCDecoder
Connectionist Temporal Classification (CTC) decoding algorithms: best path, beam search, lexicon search, prefix search, and token passing. Implemented in Python.
This tool helps developers working with Connectionist Temporal Classification (CTC) neural networks interpret their model's raw output. You feed it the confidence scores (a matrix) from your CTC-trained neural network and a list of possible characters, and it returns the most probable text string. It is used by machine learning engineers or researchers building systems for tasks like speech recognition or handwriting recognition.
About CTCWordBeamSearch
githubharald/CTCWordBeamSearch
Connectionist Temporal Classification (CTC) decoder with dictionary and language model.
When you have an AI model that recognizes sequences like text from an image or spoken words, this tool helps translate the model's raw output into actual words and sentences. It takes the character probabilities from your model and, using a dictionary and optionally a language model, produces a clear, readable text string. This is for AI practitioners, data scientists, or researchers who are building or evaluating sequence recognition systems.
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