lang (str): The language you used, chs for Chinese, and en for English.

model_dir (str): is the Runtime Model directory, it contains the following files. If not provided, official model for specific lang will be downloaded automatically.

final.zip: runtime TorchScript ASR model.

units.txt: modeling units file

TLG.fst: optional, it means decoding with LM when TLG.fst is given.

words.txt: optional, word level symbol table for decoding with TLG.fst

Please refer https://github.com/wenet-e2e/wenet/blob/main/docs/pretrained_models.md for the details of Runtime Model.

nbest (int): Output the top-n best result.

enable_timestamp (bool): Whether to enable the word level timestamp.

context (List[str]): a list of context biasing words.

context_score (float): context bonus score.

continuous_decoding (bool): Whether to enable continuous(long) decoding.