A CTC speech recognizer trained with an auxiliary causal language-model loss from frozen LLaMA embeddings improves WER on LibriSpeech, TEDLIUM2, and WSJ.
Chi, Julian Salazar, and Katrin Kirchhoff
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Boosting CTC-Based ASR Using LLM-Based Intermediate Loss Regularization
A CTC speech recognizer trained with an auxiliary causal language-model loss from frozen LLaMA embeddings improves WER on LibriSpeech, TEDLIUM2, and WSJ.