| | |
|---|
| | | output_dir_v2: Optional[str] = None, |
|---|
| | | fs: dict = None, |
|---|
| | | param_dict: dict = None, |
|---|
| | | **kwargs, |
|---|
| | | ): |
|---|
| | | |
|---|
| | | hotword_list_or_file = None |
|---|
| | | if param_dict is not None: |
|---|
| | | hotword_list_or_file = param_dict.get('hotword') |
|---|
| | | |
|---|
| | | if 'hotword' in kwargs: |
|---|
| | | hotword_list_or_file = kwargs['hotword'] |
|---|
| | | |
|---|
| | | if speech2text.hotword_list is None: |
|---|
| | | speech2text.hotword_list = speech2text.generate_hotwords_list(hotword_list_or_file) |
|---|
| | | |
|---|
| | | # 3. Build data-iterator |
|---|
| | | if data_path_and_name_and_type is None and raw_inputs is not None: |
|---|
| | | if isinstance(raw_inputs, torch.Tensor): |
|---|
