A speech-text alignment method generates expressive pseudo-audio prompts for effective text-only domain adaptation in LLM-based ASR, outperforming prior text-only approaches on error rates and OOV coverage.
As illustrated in Fig- ure 1, these architectures typically input representations from a pre-trained audio encoder into a trainable projector
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Refining Pseudo-Audio Prompts with Speech-Text Alignment for Text-Only Domain Adaptation in LLM-Based ASR
A speech-text alignment method generates expressive pseudo-audio prompts for effective text-only domain adaptation in LLM-based ASR, outperforming prior text-only approaches on error rates and OOV coverage.