85a8ed77b5
Whisper supports an `initial_prompt` parameter that biases the model's vocabulary during transcription. For Whisper models, we now join the user's custom words list into a comma-separated string and pass it as the initial_prompt. This guides the model to prefer those spellings during decoding rather than relying solely on fuzzy post-correction. For non-Whisper engines (Parakeet, Moonshine, SenseVoice, GigaAM), the existing apply_custom_words post-correction continues to apply since those engines don't support prompt-based vocabulary biasing. Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com> |
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