Pruned CTC reduces memory for large-vocabulary ASR

Pruned CTC optimizes Connectionist Temporal Classification training by restricting alignment computation to the subset of the vocabulary present in the target tokens and blanks. This makes training ASR models with large LLM vocabularies significantly more memory-efficient.