ASR models with transcription steering prompt (canary, parakeet)
This issue is stale because it has been open for 30 days with no activity. Remove stale label or comment or this will be closed in 7 days. Thanks for the request. We don't offer exact functionality now. However you could use [this script ](https://github.com/NVIDIA/NeMo/blob/main/scripts/asr_context_biasing/eval_greedy_decoding_with_context_biasing.py)for CTC or hybrid RNNT-CTC models to boost such words while transcribing. 
**Is your feature request related to a problem? Please describe.**

is there a way for the canary and parakeet models (https://huggingface.co/nvidia/canary-1b) to steer transcription like whisper in order to have correct name spellings for example or adapt a certain style?

goal is to have better, more accurate subtitles

**Describe the solution you'd like**

pass string to the inference methods for these models to have more accurate resulting transcriptions. for example to fix spelling of names or titles

**additional context**

see whisper prompting here https://cookbook.openai.com/examples/whisper_prompting_guide