Merge pull request #58 from alibaba-damo-academy/dev

zhifu gao

2023-02-03 79bd015ab0ded4e5aed1b1ecf32fcbc84eefde68

 funasr/bin/asr_inference.py

@@ -368,7 +368,7 @@
#         except TooShortUttError as e:
#             logging.warning(f"Utterance {keys} {e}")
#             hyp = Hypothesis(score=0.0, scores={}, states={}, yseq=[])
#             results = [[" ", ["<space>"], [2], hyp]] * nbest
#             results = [[" ", ["sil"], [2], hyp]] * nbest
#
#         # Only supporting batch_size==1
#         key = keys[0]
@@ -483,6 +483,7 @@
    ngram_weight: float = 0.9,
    nbest: int = 1,
    num_workers: int = 1,
    param_dict: dict = None,
    **kwargs,
):
    assert check_argument_types()
@@ -533,6 +534,7 @@
    def _forward(data_path_and_name_and_type,
                 raw_inputs: Union[np.ndarray, torch.Tensor] = None,
                 output_dir_v2: Optional[str] = None,
                 param_dict: dict = None,
                 ):
        # 3. Build data-iterator
        if data_path_and_name_and_type is None and raw_inputs is not None:
@@ -575,7 +577,7 @@
            except TooShortUttError as e:
                logging.warning(f"Utterance {keys} {e}")
                hyp = Hypothesis(score=0.0, scores={}, states={}, yseq=[])
                results = [[" ", ["<space>"], [2], hyp]] * nbest
                results = [[" ", ["sil"], [2], hyp]] * nbest
            
            # Only supporting batch_size==1
            key = keys[0]