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https://github.com/modelscope/FunASR
synced 2025-09-15 14:48:36 +08:00
update timestamp infer param name
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parent
31cda51dfa
commit
1582bad4b5
@ -100,9 +100,9 @@ def time_stamp_lfr6_advance(us_alphas, us_cif_peak, char_list):
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class SpeechText2Timestamp:
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def __init__(
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self,
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tp_train_config: Union[Path, str] = None,
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tp_model_file: Union[Path, str] = None,
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tp_cmvn_file: Union[Path, str] = None,
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timestamp_infer_config: Union[Path, str] = None,
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timestamp_model_file: Union[Path, str] = None,
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timestamp_cmvn_file: Union[Path, str] = None,
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device: str = "cpu",
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dtype: str = "float32",
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**kwargs,
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@ -110,11 +110,11 @@ class SpeechText2Timestamp:
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assert check_argument_types()
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# 1. Build ASR model
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tp_model, tp_train_args = ASRTask.build_model_from_file(
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tp_train_config, tp_model_file, device
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timestamp_infer_config, timestamp_model_file, device
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)
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frontend = None
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if tp_train_args.frontend is not None:
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frontend = WavFrontend(cmvn_file=tp_cmvn_file, **tp_train_args.frontend_conf)
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frontend = WavFrontend(cmvn_file=timestamp_cmvn_file, **tp_train_args.frontend_conf)
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logging.info("tp_model: {}".format(tp_model))
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logging.info("tp_train_args: {}".format(tp_train_args))
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@ -178,9 +178,9 @@ def inference(
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ngpu: int,
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log_level: Union[int, str],
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data_path_and_name_and_type,
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tp_train_config: Optional[str],
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tp_model_file: Optional[str],
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tp_cmvn_file: Optional[str] = None,
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timestamp_infer_config: Optional[str],
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timestamp_model_file: Optional[str],
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timestamp_cmvn_file: Optional[str] = None,
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raw_inputs: Union[np.ndarray, torch.Tensor] = None,
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key_file: Optional[str] = None,
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allow_variable_data_keys: bool = False,
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@ -194,9 +194,9 @@ def inference(
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batch_size=batch_size,
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ngpu=ngpu,
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log_level=log_level,
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tp_train_config=tp_train_config,
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tp_model_file=tp_model_file,
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tp_cmvn_file=tp_cmvn_file,
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timestamp_infer_config=timestamp_infer_config,
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timestamp_model_file=timestamp_model_file,
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timestamp_cmvn_file=timestamp_cmvn_file,
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key_file=key_file,
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allow_variable_data_keys=allow_variable_data_keys,
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output_dir=output_dir,
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@ -213,9 +213,9 @@ def inference_modelscope(
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ngpu: int,
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log_level: Union[int, str],
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# data_path_and_name_and_type,
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tp_train_config: Optional[str],
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tp_model_file: Optional[str],
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tp_cmvn_file: Optional[str] = None,
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timestamp_infer_config: Optional[str],
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timestamp_model_file: Optional[str],
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timestamp_cmvn_file: Optional[str] = None,
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# raw_inputs: Union[np.ndarray, torch.Tensor] = None,
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key_file: Optional[str] = None,
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allow_variable_data_keys: bool = False,
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@ -246,9 +246,9 @@ def inference_modelscope(
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# 2. Build speech2vadsegment
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speechtext2timestamp_kwargs = dict(
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tp_train_config=tp_train_config,
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tp_model_file=tp_model_file,
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tp_cmvn_file=tp_cmvn_file,
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timestamp_infer_config=timestamp_infer_config,
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timestamp_model_file=timestamp_model_file,
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timestamp_cmvn_file=timestamp_cmvn_file,
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device=device,
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dtype=dtype,
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)
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@ -365,17 +365,17 @@ def get_parser():
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group = parser.add_argument_group("The model configuration related")
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group.add_argument(
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"--tp_train_config",
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"--timestamp_infer_config",
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type=str,
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help="VAD infer configuration",
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)
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group.add_argument(
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"--tp_model_file",
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"--timestamp_model_file",
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type=str,
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help="VAD model parameter file",
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)
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group.add_argument(
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"--tp_cmvn_file",
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"--timestamp_cmvn_file",
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type=str,
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help="Global cmvn file",
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)
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@ -76,17 +76,17 @@ def get_parser():
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group = parser.add_argument_group("The model configuration related")
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group.add_argument(
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"--tp_train_config",
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"--timestamp_infer_config",
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type=str,
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help="VAD infer configuration",
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)
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group.add_argument(
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"--tp_model_file",
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"--timestamp_model_file",
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type=str,
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help="VAD model parameter file",
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)
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group.add_argument(
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"--tp_cmvn_file",
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"--timestamp_cmvn_file",
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type=str,
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help="Global CMVN file",
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)
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