| | |
| | | # -*- encoding: utf-8 -*- |
| | | #!/usr/bin/env python3 |
| | | # Copyright ESPnet (https://github.com/espnet/espnet). All Rights Reserved. |
| | | # Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0) |
| | | # Copyright FunASR (https://github.com/alibaba-damo-academy/FunASR). All Rights Reserved. |
| | | # MIT License (https://opensource.org/licenses/MIT) |
| | | |
| | | |
| | | import torch |
| | | torch.set_num_threads(1) |
| | |
| | | ibest_writer = None |
| | | |
| | | vad_results = [] |
| | | batch_in_cache = param_dict['in_cache'] if param_dict is not None else dict() |
| | | is_final = param_dict.get('is_final', False) if param_dict is not None else False |
| | | max_end_sil = param_dict.get('max_end_sil', 800) if param_dict is not None else 800 |
| | | if param_dict is None: |
| | | param_dict = dict() |
| | | param_dict['in_cache'] = dict() |
| | | param_dict['is_final'] = True |
| | | batch_in_cache = param_dict.get('in_cache', dict()) |
| | | is_final = param_dict.get('is_final', False) |
| | | max_end_sil = param_dict.get('max_end_sil', 800) |
| | | for keys, batch in loader: |
| | | assert isinstance(batch, dict), type(batch) |
| | | assert all(isinstance(s, str) for s in keys), keys |
| | |
| | | |
| | | return _forward |
| | | |
| | | |
| | | |
| | | |
| | | def inference_launch(mode, **kwargs): |
| | | if mode == "offline": |
| | | return inference_vad(**kwargs) |
| | | elif mode == "online": |
| | | return inference_vad_online(**kwargs) |
| | | else: |
| | | logging.info("Unknown decoding mode: {}".format(mode)) |
| | | return None |
| | | |
| | | def get_parser(): |
| | | parser = config_argparse.ArgumentParser( |
| | |
| | | ) |
| | | return parser |
| | | |
| | | |
| | | def inference_launch(mode, **kwargs): |
| | | if mode == "offline": |
| | | return inference_vad(**kwargs) |
| | | elif mode == "online": |
| | | return inference_vad_online(**kwargs) |
| | | else: |
| | | logging.info("Unknown decoding mode: {}".format(mode)) |
| | | return None |
| | | |
| | | def main(cmd=None): |
| | | print(get_commandline_args(), file=sys.stderr) |