CTC commonly refers to Connectionist Temporal Classification. It is a type of neural network output layer and associated scoring function for sequence labeling problems where the alignment between input and output sequences is unknown. It is commonly used in tasks like speech recognition, handwriting recognition, and optical character recognition (OCR) to map input sequences to output sequences without requiring precise, frame-by-frame alignment.
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